Presentation at a technical meeting of the S3 AgriFood platform on Big Data and Traceability hosted by the regional government of Andalusia. Special attention was paid to those use cases that are dealing with this theme.
This document provides an overview of the IoF2020 project, which aims to foster large-scale adoption of IoT technologies in European farming and food production. The project objectives are to (1) demonstrate IoT's business value across various farming and food applications, (2) integrate and reuse available IoT technologies through open standards, and (3) ensure user acceptability by addressing needs like security, privacy and trust. A lean multi-actor approach will be used to conduct trials of IoT use cases in areas like arable, vegetables and dairy farming. The project aims to establish an IoT ecosystem to support large-scale adoption beyond the lifetime of the project.
IoF2020 project overview for BDE/eRosa/GODANSjaak Wolfert
Presentation of the IoF2020 project at the 2nd Joint workshop of Big Data Europe, eRosa & GODAN on European Policy Perspectives on Data-intensive Agriculture & Food.
Bridging the skills gap IoT Tech Expo Berlin 1 Jun 2017Sjaak Wolfert
Bridging the skills gap: How industrial/academic partnerships can benefit your IoT business.
Several of the large IoT players have recently partnered with universities and colleges worldwide to ensure that the next generation of recruits have the high level technical skills and understanding of the IoT ecosystem need to add value to their businesses. How should you take advantage of such collaboration opportunities, and how can they translate into increasing innovation and getting that competitive edge within your organisation? The EU-funded IoT Large Scale Pilot 'The Internet of Food and Farm 2020 (IoF2020)' will be used as a showcase. New opportunities for collaboration will be mentioned.
DATA-FAIR - value creation by data sharing in agri-food businessSjaak Wolfert
The digitization of society makes data more important. This is enhanced by the Internet of Things (IoT) in which a variety of devices, sensors and the like are connected via the Internet together and deliver real-time data.
Many companies see data as the way to generate new business, also in the agri-food sector. However, the added value is only created when multiple data sources are combined, aggregated and analyzed. The sharing of data between companies in the chain is therefore a critical success factor.
Although several initiatives to share data have been initiated, this development seems to be stagnating. Now the agribusinesses are mainly developing their own proprietary platforms, resulting in a maze of platforms which makes it technically difficult to exchange data between different systems and devices. This causes rather more administrative burdens than they reduce.
Exchange of data between platforms and applications is currently inhibited because of discussions about ownership of data, privacy, fear of concentration of power in the chain and the lack of clear business models where added value of data sharing is distributed among the various stakeholders. Now it seems that the benefit to the primary producers - the farmers - is minimal and the agri-business seems to benefit most. This creates resistance to sharing data that inhibits innovations that ultimately serve the interests of the farmer and the competitiveness of the whole agri-food sector.
DATA-FAIR breaks this deadlock and will accelerate innovation by hosting several large-scale trials with companies and Wageningen Research in which applications are developed where data between various platforms is shared and value is created.
In these trials, the farmer plays a central role as a main supplier and manager of data. He or she determines who may use which data and under what conditions. Digital permissions will play an important role enabled by a central register (e.g. AgriTrust). Also, special attention is paid to the development of attractive and transparent business models and good organizational embedding (governance) so that the results will continue to exist after the project.
DATA-FAIR doesn’t create a new platform itself, but uses existing building blocks and will help improving these if necessary. Here one can think of open application interfaces (APIs) and standards to link platforms and databases. DATA-FAIR builds on experiences with existing data hubs such as EDI-Circle and AgriPlace.
This document discusses how IoT can enable smart farming and food systems. It describes an ecosystem of apps that can push data between farmers, equipment, weather services, and government agencies to optimize activities like pesticide spraying. The IoF2020 project aims to demonstrate IoT business cases across the food sector through large-scale trials. It will integrate available technologies, address user needs, and establish an IoT ecosystem to facilitate large-scale adoption of IoT in European agriculture and food.
Fostering Business and Software Ecosystems for large-scale Uptake of IoT in F...Sjaak Wolfert
The Internet of Things (IoT) is expected to be a real game changer that will drastically improve productivity and sustainability in food and farming. However, current IoT applications in this domain are still fragmentary and mainly used by a small group of early adopters. The Internet of Food and Farm 2020 Large-Scale Pilot (IoF2020) addresses the organizational and technological challenges to overcome this situation by fostering a large-scale uptake of IoT in the European food and farming domain. The heart of the project is formed by a balanced set of multi-actor trials that reflect the diversity of the food and farming domain. Each trial is composed of well-delineated use cases developing IoT solutions for the most relevant challenges of the concerned subsector. The project conducts 5 trials with a total of 19 use cases in arable, dairy, fruits, vegetables and meat production. IoF2020 embraces a lean multi-actor approach that combines the development of Minimal Viable Products (MVPs) in short iterations with the active involvement of various stakeholders. The architectural approach supports interoperability of multiple use case systems and reuse of IoT components across them. Use cases are also supported in developing business and solving governance issues. The IoF2020 ecosystem and collaboration space is established to boost the uptake of IoT in Food and Farming and pave the way for new innovations.
The document discusses the increasing role of information and communication technologies (ICT) in agriculture and food systems. It describes how technologies like mobile/cloud computing, location-based monitoring, the Internet of Things, and big data can help address challenges in transportation, input supply, farming, food processing, retail, and consumer demands. Examples are provided of ICT solutions that offer benefits like early detection of animal health issues, optimized crop spraying advice, and food traceability. Concerns are raised about issues like data ownership and the potential for industry consolidation or lock-in under different business models enabled by big data in agriculture.
Governance of Data Sharing in Agri-Food - towards common guidelinesSjaak Wolfert
Big Data is becoming a new asset in the agri-food sector including enterprise data from operational systems, sensor data, farm equipment data, etc. Recently, Big Data applications are being implemented, aiming at improving farm and chain performance. Many companies are refraining from sharing data because of the fear of governance issues such as data security, privacy and liability. Moreover, they are often in a deadlock or afraid to take the first step even though they expect to develop new business with data. To accelerate the development of Big Data applications, this paper analyses governance issues and introduces a set of guidelines for governance of data sharing in agri-food networks. A framework for analysis was derived from literature and used to identify lessons learned from recent projects or initiatives. From these results, a set of draft guidelines was developed. The framework and guidelines were evaluated in a workshop. The framework consists of factors that are related to governance on data sharing in networks. Internal factors are: efficiency, effectiveness, inclusiveness, legitimacy & accountability, credibility and transparency. External factors are: political, economic, social, technological, legal and environmental factors. For each of these factors, guidelines are provided in terms of: issues to be addressed, best practices and lessons learned from other projects and initiatives. It is concluded that the framework is complete in covering all relevant issues on governance in data sharing but the guidelines must be considered as a first set, which can be further improved and extended in the future. A wiki-type-of-website could help to upscale the guidelines at a global level. The guidelines could also be further refined accounting for different maturity levels of agri-food networks. The guidelines in this paper are considered to be a valuable step into the direction of solving governance issues in data sharing, which is expected to accelerate Big Data applications in the agri-food domain.
This document provides an overview of the IoF2020 project, which aims to foster large-scale adoption of IoT technologies in European farming and food production. The project objectives are to (1) demonstrate IoT's business value across various farming and food applications, (2) integrate and reuse available IoT technologies through open standards, and (3) ensure user acceptability by addressing needs like security, privacy and trust. A lean multi-actor approach will be used to conduct trials of IoT use cases in areas like arable, vegetables and dairy farming. The project aims to establish an IoT ecosystem to support large-scale adoption beyond the lifetime of the project.
IoF2020 project overview for BDE/eRosa/GODANSjaak Wolfert
Presentation of the IoF2020 project at the 2nd Joint workshop of Big Data Europe, eRosa & GODAN on European Policy Perspectives on Data-intensive Agriculture & Food.
Bridging the skills gap IoT Tech Expo Berlin 1 Jun 2017Sjaak Wolfert
Bridging the skills gap: How industrial/academic partnerships can benefit your IoT business.
Several of the large IoT players have recently partnered with universities and colleges worldwide to ensure that the next generation of recruits have the high level technical skills and understanding of the IoT ecosystem need to add value to their businesses. How should you take advantage of such collaboration opportunities, and how can they translate into increasing innovation and getting that competitive edge within your organisation? The EU-funded IoT Large Scale Pilot 'The Internet of Food and Farm 2020 (IoF2020)' will be used as a showcase. New opportunities for collaboration will be mentioned.
DATA-FAIR - value creation by data sharing in agri-food businessSjaak Wolfert
The digitization of society makes data more important. This is enhanced by the Internet of Things (IoT) in which a variety of devices, sensors and the like are connected via the Internet together and deliver real-time data.
Many companies see data as the way to generate new business, also in the agri-food sector. However, the added value is only created when multiple data sources are combined, aggregated and analyzed. The sharing of data between companies in the chain is therefore a critical success factor.
Although several initiatives to share data have been initiated, this development seems to be stagnating. Now the agribusinesses are mainly developing their own proprietary platforms, resulting in a maze of platforms which makes it technically difficult to exchange data between different systems and devices. This causes rather more administrative burdens than they reduce.
Exchange of data between platforms and applications is currently inhibited because of discussions about ownership of data, privacy, fear of concentration of power in the chain and the lack of clear business models where added value of data sharing is distributed among the various stakeholders. Now it seems that the benefit to the primary producers - the farmers - is minimal and the agri-business seems to benefit most. This creates resistance to sharing data that inhibits innovations that ultimately serve the interests of the farmer and the competitiveness of the whole agri-food sector.
DATA-FAIR breaks this deadlock and will accelerate innovation by hosting several large-scale trials with companies and Wageningen Research in which applications are developed where data between various platforms is shared and value is created.
In these trials, the farmer plays a central role as a main supplier and manager of data. He or she determines who may use which data and under what conditions. Digital permissions will play an important role enabled by a central register (e.g. AgriTrust). Also, special attention is paid to the development of attractive and transparent business models and good organizational embedding (governance) so that the results will continue to exist after the project.
DATA-FAIR doesn’t create a new platform itself, but uses existing building blocks and will help improving these if necessary. Here one can think of open application interfaces (APIs) and standards to link platforms and databases. DATA-FAIR builds on experiences with existing data hubs such as EDI-Circle and AgriPlace.
This document discusses how IoT can enable smart farming and food systems. It describes an ecosystem of apps that can push data between farmers, equipment, weather services, and government agencies to optimize activities like pesticide spraying. The IoF2020 project aims to demonstrate IoT business cases across the food sector through large-scale trials. It will integrate available technologies, address user needs, and establish an IoT ecosystem to facilitate large-scale adoption of IoT in European agriculture and food.
Fostering Business and Software Ecosystems for large-scale Uptake of IoT in F...Sjaak Wolfert
The Internet of Things (IoT) is expected to be a real game changer that will drastically improve productivity and sustainability in food and farming. However, current IoT applications in this domain are still fragmentary and mainly used by a small group of early adopters. The Internet of Food and Farm 2020 Large-Scale Pilot (IoF2020) addresses the organizational and technological challenges to overcome this situation by fostering a large-scale uptake of IoT in the European food and farming domain. The heart of the project is formed by a balanced set of multi-actor trials that reflect the diversity of the food and farming domain. Each trial is composed of well-delineated use cases developing IoT solutions for the most relevant challenges of the concerned subsector. The project conducts 5 trials with a total of 19 use cases in arable, dairy, fruits, vegetables and meat production. IoF2020 embraces a lean multi-actor approach that combines the development of Minimal Viable Products (MVPs) in short iterations with the active involvement of various stakeholders. The architectural approach supports interoperability of multiple use case systems and reuse of IoT components across them. Use cases are also supported in developing business and solving governance issues. The IoF2020 ecosystem and collaboration space is established to boost the uptake of IoT in Food and Farming and pave the way for new innovations.
The document discusses the increasing role of information and communication technologies (ICT) in agriculture and food systems. It describes how technologies like mobile/cloud computing, location-based monitoring, the Internet of Things, and big data can help address challenges in transportation, input supply, farming, food processing, retail, and consumer demands. Examples are provided of ICT solutions that offer benefits like early detection of animal health issues, optimized crop spraying advice, and food traceability. Concerns are raised about issues like data ownership and the potential for industry consolidation or lock-in under different business models enabled by big data in agriculture.
Governance of Data Sharing in Agri-Food - towards common guidelinesSjaak Wolfert
Big Data is becoming a new asset in the agri-food sector including enterprise data from operational systems, sensor data, farm equipment data, etc. Recently, Big Data applications are being implemented, aiming at improving farm and chain performance. Many companies are refraining from sharing data because of the fear of governance issues such as data security, privacy and liability. Moreover, they are often in a deadlock or afraid to take the first step even though they expect to develop new business with data. To accelerate the development of Big Data applications, this paper analyses governance issues and introduces a set of guidelines for governance of data sharing in agri-food networks. A framework for analysis was derived from literature and used to identify lessons learned from recent projects or initiatives. From these results, a set of draft guidelines was developed. The framework and guidelines were evaluated in a workshop. The framework consists of factors that are related to governance on data sharing in networks. Internal factors are: efficiency, effectiveness, inclusiveness, legitimacy & accountability, credibility and transparency. External factors are: political, economic, social, technological, legal and environmental factors. For each of these factors, guidelines are provided in terms of: issues to be addressed, best practices and lessons learned from other projects and initiatives. It is concluded that the framework is complete in covering all relevant issues on governance in data sharing but the guidelines must be considered as a first set, which can be further improved and extended in the future. A wiki-type-of-website could help to upscale the guidelines at a global level. The guidelines could also be further refined accounting for different maturity levels of agri-food networks. The guidelines in this paper are considered to be a valuable step into the direction of solving governance issues in data sharing, which is expected to accelerate Big Data applications in the agri-food domain.
The SmartAgriHubs project enables a broad digital transformation of the European farming and food sector. With a €20 million budget co-funded by the European Union, the project aims to build an extensive pan-European network of Digital Innovation Hubs (DIHs). The project starts today on November 1st, 2018. This presentation describes the project's objective and method that is used to reach these objectives.
Entrepreneurs active in the agricultural sector spend more and more of their time registering and publishing all kinds of data, as the government, certification bodies, banks, clients, the retail sector and consumers all want to have more insight into how safe and sustainable their food is.
The majority of this agriculture-related data is still paper-based, spread over different systems and difficult to exchange between the people who want to access it. This is why digitising agricultural business data is an important item on the agenda. With FarmDigital, we can respond to these developments.
FarmDigital is an action research programme which is currently working towards a situation in which data only needs to be entered once and can be shared easily. It aims to achieve this goal by standardising data and developing and implementing an independent, digital platform for people to use.
WUR-ICT supports agri-food businesses in implementing ICT solutions through analysis of challenges, design of solutions, and iterative development through pilots. Emerging technologies like IoT, big data, and AI present opportunities for innovation if governance and business models can address issues like privacy, ownership, and ecosystem coordination. The IOF2020 project aims to accelerate large-scale IoT adoption through integrating technologies, ensuring user acceptance, and developing sustainable solutions across Europe.
Large ICT-projects in Agri-Food in EuropeSjaak Wolfert
This is a presentation about the background, development and state-of-the-art of large ICT-projects in Agri-Food that are going on in Europe: Internet of Food and Farm 2020 (IoF2020) and SmartAgriHubs.
oversea
This is the presentation on understanding the SmartAgriHubs project that I gave at the kick-off event in Prague, Czech Republic on the 5th of March 2019. It starts with the background of the Digital Transformation that is going on in the Agri-Food sector. Then the objective is decribed followed by the 5 basic concepts that are the basis of this project: Digital Innovation Hubs, Innovation Expriments, Competence Centers, Innovation Portal and the Innovation Services Maturity Model. Next, the project approach and work package structure are explained. The presentation is concluded by the most important KPIs and numbers of the project.
Smart Farming is a development that emphasizes the use of information and communication technology in the
cyber-physical farm management cycle. New technologies such as the Internet of Things and Cloud Computing
are expected to leverage this development and introduce more robots and artificial intelligence in farming.
This is encompassed by the phenomenon of Big Data, massive volumes of data with a wide variety that can be
captured, analysed and used for decision-making. This review aims to gain insight into the state-of-the-art of
Big Data applications in Smart Farming and identify the related socio-economic challenges to be addressed. Following
a structured approach, a conceptual framework for analysiswas developed that can also be used for future
studies on this topic. The review shows that the scope of Big Data applications in Smart Farming goes beyond
primary production; it is influencing the entire food supply chain. Big data are being used to provide predictive
insights in farming operations, drive real-time operational decisions, and redesign business processes for
game-changing business models. Several authors therefore suggest that Big Data will cause major shifts in
roles and power relationsamong different players in current food supply chain networks. The landscape of stakeholders
exhibits an interesting gamebetween powerful tech companies, venture capitalists and often small startups
and new entrants. At the same time there are several public institutions that publish open data, under the
condition that the privacy of persons must be guaranteed. The future of Smart Farming may unravel in a continuum
of two extreme scenarios: 1) closed, proprietary systems in which the farmer is part of a highly integrated
food supply chain or 2) open, collaborative systems inwhich the farmer and every other stakeholder in the chain
network is flexible in choosing business partners as well for the technology as for the food production side. The
further development of data and application infrastructures (platforms and standards) and their institutional
embedment will play a crucial role in the battle between these scenarios. From a socio-economic perspective,
the authors propose to give research priority to organizational issues concerning governance issues and suitable
business models for data sharing in different supply chain scenarios.
New technologies such as the Internet of Things and Cloud Computing are expected to leverage the current
trend of Smart Farming, introducing more sensors, robots and artificial intelligence, encompassed by the
phenomenon of Big Data.
This presentation will give a quick insight into the state-of-the-art of Big Data applications in Smart Farming
and identify the related challenges that have to be addressed. It shows that the scope of Big Data
applications in Smart Farming goes beyond the farm; it is influencing the entire food supply chain. Big data
are being used to provide predictive insights in farming operations, drive real-time operational decisions, and
redesign business processes for game-changing business models.
It is expected that Big Data will cause major shifts in roles and power relations among different players in
current food supply chain networks. The landscape of stakeholders exhibits an interesting game between
powerful tech companies, venture capitalists and often small startups and new entrants. At the same time
there are several public institutions that publish open data, under the condition that the privacy of persons
must be guaranteed. The future of Smart Farming may unravel in a continuum of two extreme scenarios: 1)
closed, proprietary systems or 2) open, collaborative systems.
The development of data and application infrastructures (platforms and standards) and their institutional
embedment will play a crucial role in the battle between these scenarios. A major challenge is therefore to
cope with governance issues and define suitable business models for data sharing in different supply chain
scenarios.
Digital innovation for sustainable food systemsSjaak Wolfert
This presentation will show that digital solutions help addressing multiple sustainability issues, particularly illuminating how producers and consumers can use digitalisation to support a transition towards healthier diets.
Digital Innovation Hubs – Digital Transformation of Agriculture at a Regional...Sjaak Wolfert
• Build local digital innovation hubs offering innovation services and access
to finance
• Organize regional challenges for initiating new Innovation Experiments
• Conduct multi-actor Innovation Experiments for a digital transformation
• Creating a pan-European network of Digital Innovation Hubs
and Competence Centres
The BigDataGrapes vision enabling global disruption of the grapevine-powered ...Big Data Grapes
Panagiotis Zervas presentation on the vision of the project at the BigDataGrapes workshop "Big Data for the Grapevine Industries" in Pisa, Italy (8/3/2019)
This is a keynote presentation presented at a conference on INNOVATIVE TECHNOLOGIES AND DATA APPLICATIONS IN THE AGRIFOOD SECTOR, 26 February 2019 at Boğaziçi Üniversitesi South Campus, Rectorate Conference Hall, Turkey. It describes multi-disciplinary, collaborative, agile approach for digital transformation of the agri-food sector based on the IoF2020 and SmartAgriHubs project. It describes several examples of IoT and Big Data applications from those projects,
The video and voice-over of this presentation can be found at https://youtu.be/wYJVqh6jvSE
This document discusses a "smart farm" project that uses sensors, internet connectivity, and semantic technologies to monitor and manage a farm. The project collects data from 100 soil sensors and 2 weather stations on the farm. It uses an ontology and linked open data to semantically integrate and provide open access to the sensor data. Machine learning algorithms could potentially generate predictive models from the sensor data to estimate values without physical sensors. The system detects events on the farm like cattle leaving and alerts farmers. It aims to help farmers make informed decisions and remotely monitor their farm operations.
Digital technologies are becoming increasingly important for agriculture but developments are fragmented. SmartAgriHubs aims to connect stakeholders across disciplines and sectors to foster collaboration. It will establish a network of Digital Innovation Hubs and Competence Centers across Europe to support the digital transformation of agri-food through multi-actor innovation experiments. The goal is to address sustainability challenges and bring more digital solutions to market at scale.
Platforms for the Internet of Food & FarmCor Verdouw
Role and vision IoF2020 on platforms. Working Group 2 of the Digitising European Industry meeting on digital industrial platforms in Brussels, Smart Agriculture session, December 8th 2016
Big Data Grapes, as part of the European Big Data Value community was on the 16th of May in Sofia, Bulgaria, in an event organised by the Big Data Value PPP, with the twofold objective of strengthening collaborations among community members and increasing the visibility and awareness about the PPP in East Europe in general and Bulgaria in particular. Ontotext, our Bulgarian project partner presented the potential of Big Data Streams in grape and wine production.
#bdvmeetupsofia18
Keynote IoT in Agriculture opening academic year CIHEAM ZaragozaSjaak Wolfert
Keynote presentation for the opening of the academic year at CIHEAM institute for Mediterranean agricultural research in Zaragoza. It is about how IoT and Big Data are transforming Agriculture in Europe and what the main challenges are: governance, business models and open infrastructures. This is illustrated from several use cases in the Internet of Food and Farm 2020 (IoF2020) project.
Simone Parisi and Florian Schlenz presentation on the Farm Management Pilot progress at the BigDataGrapes workshop "Big Data for the Grapevine Industries" in Pisa, Italy (8/3/2019)
The Internet of Farm and Food: Project Overview IoF2020Cor Verdouw
The document discusses the Internet of Farm and Food (IoF2020) project. The project aims to demonstrate the business case for using IoT technologies in European farming and food sectors. It involves 71 partner organizations across 16 countries working on 5 trials and 19 use cases related to arable farming, dairy, fruits, vegetables, and meat. The project will develop IoT solutions, evaluate their impacts, and establish an ecosystem to support large-scale adoption of IoT in agriculture. It receives €35 million in EU funding and runs from 2017-2021.
Sampling Strategies to Control Misclassification Bias in Longitudinal Udder H...dhaine
This document summarizes a study on sampling strategies to control misclassification bias in longitudinal udder health studies. The study uses simulations of 100 cohorts of 30 cows each over 2 time points to estimate the impact of selection and misclassification biases on incidence and associations. It finds that duplicate or triplicate sampling can help control biases, especially when prevalence is high and test sensitivity is fair. The best strategies are to improve test sensitivity at baseline and specificity at follow-up. Bias can be evaluated using the R package developed by the authors.
Solving the BI Adoption Challenge With Report Consolidationibi
Check out the slides from a webcast with Rado Kotorov, chief innovation officer at Information Builders, on how to resolve data clutter in your organization with report consolidation.
View the webcast recording at: http://ow.ly/uzPP30alz3J
The SmartAgriHubs project enables a broad digital transformation of the European farming and food sector. With a €20 million budget co-funded by the European Union, the project aims to build an extensive pan-European network of Digital Innovation Hubs (DIHs). The project starts today on November 1st, 2018. This presentation describes the project's objective and method that is used to reach these objectives.
Entrepreneurs active in the agricultural sector spend more and more of their time registering and publishing all kinds of data, as the government, certification bodies, banks, clients, the retail sector and consumers all want to have more insight into how safe and sustainable their food is.
The majority of this agriculture-related data is still paper-based, spread over different systems and difficult to exchange between the people who want to access it. This is why digitising agricultural business data is an important item on the agenda. With FarmDigital, we can respond to these developments.
FarmDigital is an action research programme which is currently working towards a situation in which data only needs to be entered once and can be shared easily. It aims to achieve this goal by standardising data and developing and implementing an independent, digital platform for people to use.
WUR-ICT supports agri-food businesses in implementing ICT solutions through analysis of challenges, design of solutions, and iterative development through pilots. Emerging technologies like IoT, big data, and AI present opportunities for innovation if governance and business models can address issues like privacy, ownership, and ecosystem coordination. The IOF2020 project aims to accelerate large-scale IoT adoption through integrating technologies, ensuring user acceptance, and developing sustainable solutions across Europe.
Large ICT-projects in Agri-Food in EuropeSjaak Wolfert
This is a presentation about the background, development and state-of-the-art of large ICT-projects in Agri-Food that are going on in Europe: Internet of Food and Farm 2020 (IoF2020) and SmartAgriHubs.
oversea
This is the presentation on understanding the SmartAgriHubs project that I gave at the kick-off event in Prague, Czech Republic on the 5th of March 2019. It starts with the background of the Digital Transformation that is going on in the Agri-Food sector. Then the objective is decribed followed by the 5 basic concepts that are the basis of this project: Digital Innovation Hubs, Innovation Expriments, Competence Centers, Innovation Portal and the Innovation Services Maturity Model. Next, the project approach and work package structure are explained. The presentation is concluded by the most important KPIs and numbers of the project.
Smart Farming is a development that emphasizes the use of information and communication technology in the
cyber-physical farm management cycle. New technologies such as the Internet of Things and Cloud Computing
are expected to leverage this development and introduce more robots and artificial intelligence in farming.
This is encompassed by the phenomenon of Big Data, massive volumes of data with a wide variety that can be
captured, analysed and used for decision-making. This review aims to gain insight into the state-of-the-art of
Big Data applications in Smart Farming and identify the related socio-economic challenges to be addressed. Following
a structured approach, a conceptual framework for analysiswas developed that can also be used for future
studies on this topic. The review shows that the scope of Big Data applications in Smart Farming goes beyond
primary production; it is influencing the entire food supply chain. Big data are being used to provide predictive
insights in farming operations, drive real-time operational decisions, and redesign business processes for
game-changing business models. Several authors therefore suggest that Big Data will cause major shifts in
roles and power relationsamong different players in current food supply chain networks. The landscape of stakeholders
exhibits an interesting gamebetween powerful tech companies, venture capitalists and often small startups
and new entrants. At the same time there are several public institutions that publish open data, under the
condition that the privacy of persons must be guaranteed. The future of Smart Farming may unravel in a continuum
of two extreme scenarios: 1) closed, proprietary systems in which the farmer is part of a highly integrated
food supply chain or 2) open, collaborative systems inwhich the farmer and every other stakeholder in the chain
network is flexible in choosing business partners as well for the technology as for the food production side. The
further development of data and application infrastructures (platforms and standards) and their institutional
embedment will play a crucial role in the battle between these scenarios. From a socio-economic perspective,
the authors propose to give research priority to organizational issues concerning governance issues and suitable
business models for data sharing in different supply chain scenarios.
New technologies such as the Internet of Things and Cloud Computing are expected to leverage the current
trend of Smart Farming, introducing more sensors, robots and artificial intelligence, encompassed by the
phenomenon of Big Data.
This presentation will give a quick insight into the state-of-the-art of Big Data applications in Smart Farming
and identify the related challenges that have to be addressed. It shows that the scope of Big Data
applications in Smart Farming goes beyond the farm; it is influencing the entire food supply chain. Big data
are being used to provide predictive insights in farming operations, drive real-time operational decisions, and
redesign business processes for game-changing business models.
It is expected that Big Data will cause major shifts in roles and power relations among different players in
current food supply chain networks. The landscape of stakeholders exhibits an interesting game between
powerful tech companies, venture capitalists and often small startups and new entrants. At the same time
there are several public institutions that publish open data, under the condition that the privacy of persons
must be guaranteed. The future of Smart Farming may unravel in a continuum of two extreme scenarios: 1)
closed, proprietary systems or 2) open, collaborative systems.
The development of data and application infrastructures (platforms and standards) and their institutional
embedment will play a crucial role in the battle between these scenarios. A major challenge is therefore to
cope with governance issues and define suitable business models for data sharing in different supply chain
scenarios.
Digital innovation for sustainable food systemsSjaak Wolfert
This presentation will show that digital solutions help addressing multiple sustainability issues, particularly illuminating how producers and consumers can use digitalisation to support a transition towards healthier diets.
Digital Innovation Hubs – Digital Transformation of Agriculture at a Regional...Sjaak Wolfert
• Build local digital innovation hubs offering innovation services and access
to finance
• Organize regional challenges for initiating new Innovation Experiments
• Conduct multi-actor Innovation Experiments for a digital transformation
• Creating a pan-European network of Digital Innovation Hubs
and Competence Centres
The BigDataGrapes vision enabling global disruption of the grapevine-powered ...Big Data Grapes
Panagiotis Zervas presentation on the vision of the project at the BigDataGrapes workshop "Big Data for the Grapevine Industries" in Pisa, Italy (8/3/2019)
This is a keynote presentation presented at a conference on INNOVATIVE TECHNOLOGIES AND DATA APPLICATIONS IN THE AGRIFOOD SECTOR, 26 February 2019 at Boğaziçi Üniversitesi South Campus, Rectorate Conference Hall, Turkey. It describes multi-disciplinary, collaborative, agile approach for digital transformation of the agri-food sector based on the IoF2020 and SmartAgriHubs project. It describes several examples of IoT and Big Data applications from those projects,
The video and voice-over of this presentation can be found at https://youtu.be/wYJVqh6jvSE
This document discusses a "smart farm" project that uses sensors, internet connectivity, and semantic technologies to monitor and manage a farm. The project collects data from 100 soil sensors and 2 weather stations on the farm. It uses an ontology and linked open data to semantically integrate and provide open access to the sensor data. Machine learning algorithms could potentially generate predictive models from the sensor data to estimate values without physical sensors. The system detects events on the farm like cattle leaving and alerts farmers. It aims to help farmers make informed decisions and remotely monitor their farm operations.
Digital technologies are becoming increasingly important for agriculture but developments are fragmented. SmartAgriHubs aims to connect stakeholders across disciplines and sectors to foster collaboration. It will establish a network of Digital Innovation Hubs and Competence Centers across Europe to support the digital transformation of agri-food through multi-actor innovation experiments. The goal is to address sustainability challenges and bring more digital solutions to market at scale.
Platforms for the Internet of Food & FarmCor Verdouw
Role and vision IoF2020 on platforms. Working Group 2 of the Digitising European Industry meeting on digital industrial platforms in Brussels, Smart Agriculture session, December 8th 2016
Big Data Grapes, as part of the European Big Data Value community was on the 16th of May in Sofia, Bulgaria, in an event organised by the Big Data Value PPP, with the twofold objective of strengthening collaborations among community members and increasing the visibility and awareness about the PPP in East Europe in general and Bulgaria in particular. Ontotext, our Bulgarian project partner presented the potential of Big Data Streams in grape and wine production.
#bdvmeetupsofia18
Keynote IoT in Agriculture opening academic year CIHEAM ZaragozaSjaak Wolfert
Keynote presentation for the opening of the academic year at CIHEAM institute for Mediterranean agricultural research in Zaragoza. It is about how IoT and Big Data are transforming Agriculture in Europe and what the main challenges are: governance, business models and open infrastructures. This is illustrated from several use cases in the Internet of Food and Farm 2020 (IoF2020) project.
Simone Parisi and Florian Schlenz presentation on the Farm Management Pilot progress at the BigDataGrapes workshop "Big Data for the Grapevine Industries" in Pisa, Italy (8/3/2019)
The Internet of Farm and Food: Project Overview IoF2020Cor Verdouw
The document discusses the Internet of Farm and Food (IoF2020) project. The project aims to demonstrate the business case for using IoT technologies in European farming and food sectors. It involves 71 partner organizations across 16 countries working on 5 trials and 19 use cases related to arable farming, dairy, fruits, vegetables, and meat. The project will develop IoT solutions, evaluate their impacts, and establish an ecosystem to support large-scale adoption of IoT in agriculture. It receives €35 million in EU funding and runs from 2017-2021.
Sampling Strategies to Control Misclassification Bias in Longitudinal Udder H...dhaine
This document summarizes a study on sampling strategies to control misclassification bias in longitudinal udder health studies. The study uses simulations of 100 cohorts of 30 cows each over 2 time points to estimate the impact of selection and misclassification biases on incidence and associations. It finds that duplicate or triplicate sampling can help control biases, especially when prevalence is high and test sensitivity is fair. The best strategies are to improve test sensitivity at baseline and specificity at follow-up. Bias can be evaluated using the R package developed by the authors.
Solving the BI Adoption Challenge With Report Consolidationibi
Check out the slides from a webcast with Rado Kotorov, chief innovation officer at Information Builders, on how to resolve data clutter in your organization with report consolidation.
View the webcast recording at: http://ow.ly/uzPP30alz3J
Una visión personal sobre los atributos que definen a un buen médico de familia. Inspirada en el documento sobre las conductas del buen médico de familia elaborado por el grupo de trabajo de ética de la CAMFiC. Aquí tenéis la versión en castellano fruto de vuestras peticiones.
Introduction to kprobes, a Linux feature which allows you to set break points in a kernel address space. This presentation also introduces a book about kprobes and sysfs.
POS for restaurant to take tablet based orders and get in queue items on kitchen screen, real time intimation on tablets once item is ready in kitchen, Delivery management, take away and bar management with pos in odoo.
This document provides image credit attributions for 16 different images used in various visualizations and illustrations. The images credited include circular and word visualizations, bridges, gears, library and book shelf views, maps, diagrams, and astronomical photos. Jer Thorp, Daniel, Marc Smith, Peter Kim, NASA, T. Douglas, and several other artists and organizations are credited as the creators or sources of the various images.
Informe amec sobre la coyuntura 2016 y perspectivas 2017. Podéis ver los informes de años anteriores en la web de amec http://www.amec.es/comunicaciones/informes-de-coyuntura-amec/
Lecture at IUC Turin as part of a Module on Social Food Movements. Here I present the right to food constituency, NGOs, associations, legal scholars and the few institutions and countries that actually support politically and financially this fundamental right (closely linked to right to life). I explore major barriers (normative, academic and political) to the full implementation, and analyse the different developments in Latin America (progress) and Europe (stalemate).
Informe Audiencia Publica de Rendiciòn de Cuentas a la ciudadania 2016Universidad del Chocò
La Universidad Tecnológica del Chocó Diego Luis Córdoba, junto a toda la línea directiva presenta a toda la comunidad por medio de la Rendición de Cuentas los logros y metas durante la vigencia 2016 que son el resultado del trabajo conjunto y en minga de toda la comunidad Universitaria.
El rector Eduardo Antonio García Vega, tendrá la gran responsabilidad de entregar por medio de cifras, datos la buena gestión, igualmente, interactuar con otros entes administrativo o público interesado para dar garantía sobre la transparencia de la administración pública y posibilitar el acceso a la información.
Desde 1972 hasta hoy la UTCH viene cumpliendo en la formación de profresionales exitosos de alto nivel, en la mejora continua de los procesos y procedimientos, son 45 años en el que día a día sea ha trabajado en la consolidación de la Universidad acreditada de calidad con enfoque
Key findings:
Banks became the most attractive target for cybercriminals.
Infections and thefts are becoming automated.
Tools for tapping conversations and intercepting traffic have become more readily available than ever before.
All factors contributing to the growth of the number of attacks
are now in place.
The number of attacks is growing and they are becoming more effective.
The range of threats for brands is expanding.
Hi-Tech Crime Trends 2016 Report is available on http://www.group-ib.com/2016-report.html
Deep Qualia: Philosophy of Statistics, Deep Learning, and Blockchain
Deep learning: What is it, why is it important, and what do I need to know?
The aim of this talk is to discuss deep learning as an advanced computational method and its philosophical implications. Computing is a fundamental model by which we are understanding more about ourselves and the world. We think that reality is composed of patterns, which can be detected by machine learning methods.
Deep learning is a complexity optimization technique in which algorithms learn from data by modeling high-level abstractions and assigning probabilities to nodes as they characterize the system and make predictions. An important challenge in deep learning is that these methods work in certain domains (image, speech, and text recognition), but we do not have a good explanation for why, which impedes a wider application of these solutions.
Another recent advance in computational methods is blockchain technology which allows the secure transfer of assets and information, and the automated coordination of operations via a trackable remunerative ledger and smart contracts (automatically-executing Internet-based programs).
This talk looks at how deep learning technology, particularly as coupled with blockchain systems, might be used to produce a new kind of global computing platform. The goal is for blockchain deep learning systems to address higher-dimensional computing challenges that require learning and dynamic response in domains such as economics and financial risk, epidemiology, social modeling, public health (cancer, aging), dark matter, atomic reactions, network-modeling (transportation, energy, smart cities), artificial intelligence, and consciousness.
Announcing Amazon Lex - January 2017 AWS Online Tech TalksAmazon Web Services
Amazon Lex is a service for building conversational interfaces into any application using voice and text. Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user experiences and lifelike conversational interactions.
Learning Objectives:
• Learn about the capabilities and features of Amazon Lex
• Learn about the benefits of Amazon Lex
• Learn about the different use cases
• Learn how to get started using Amazon Lex
Deadpool engages in a violent action sequence on a freeway overpass involving multiple vehicles. He jumps through the windshield of an SUV transporting prisoners, taking on its occupants. The SUV spins out of control and flips over, with Deadpool and others frozen in mid-air. Body parts and bullets are suspended around the flipped SUV. Deadpool breaks the fourth wall by looking directly at the camera at the end.
O documento discute o tegumento dos animais, descrevendo suas principais características e funções em diferentes grupos. Resume que o tegumento protege os animais contra desidratação, choques e patógenos, variando em complexidade de uma única membrana em protozoários a múltiplas camadas de células e anexos como pelos e glândulas em vertebrados.
Overview of Community Based Health Insurance LessonsHFG Project
Presentation during the Institutionalizing Community Health Conference in Johannesburg, South Africa, on March 28th, 2017. This presentation gives an overview of Community-based Health Insurance (CBHI), and explores country experiences and lessons with CBHI in Rwanda, Ghana, and Senegal.
Автоматизация SEO-задач в 2017 — CyberMarketing — СевальневДмитрий Севальнев
Подробней: https://tools.pixelplus.ru и http://www.pixelplus.ru/samostoyatelno/
Тезисы:
- Какие работы по SEO можно и нельзя автоматизировать?
- Группы задач в SEO: семантика, распределение, технический аудит, внутренняя и внешняя оптимизация, анализ конкурентов и выдачи, снятие санкций, поведенческие метрики, отчетность.
- Основные сервисы автоматизации на рынке.
- Плюсы и минусы автоматизации.
- Выводы и полезные ссылки.
This document provides an overview of the IoF2020 project, which aims to foster large-scale adoption of IoT technologies in European agriculture and food sectors. The project involves 71 partner organizations across 16 countries and has a budget of €35 million. It will implement 5 trials and 19 use cases to demonstrate IoT applications for optimizing various agricultural operations. The trials will use sensor networks and data analysis to improve areas like vineyard/wine production management and pig farm management. The project also aims to develop an IoT ecosystem and collaboration platform to support widespread adoption of IoT solutions beyond the project duration.
This document describes The Food Safety Market (TheFSM) project. TheFSM aims to create a transparent, data-powered certification ecosystem for a safe food supply chain. It is a 36-month H2020 project with €4.8 million in EU funding and involves 11 partners from 9 EU and 2 non-EU countries. The project will conduct 10 pilots across 10 countries to test and improve a data platform and software tools to drive adoption of digital certification. One partner, AGRIVI, will integrate supplier data sharing into their farm management system and coordinate pilots in Croatia, Serbia and Poland.
MUSHNOMICS presentation at ICT-AGRI-FOOD End-term seminar, that was held in Warsaw, Poland, between January 31st and February 1st. The seminar served as a platform for knowledge exchange, project presentations, and the cultivation of valuable connections within the agricultural technology sector. Our colleagues, Dr. Dimitrios Argyropoulos from the University College of Dublin and Dr. Bhim Bahadur Ghaley from the University of Copenhagen, represented the MUSHNOMICS project, presenting the remarkable results achieved over the course of our three-year journey.
During the seminar, our dedicated team members showcased the outcomes and advancements made within the MUSHNOMICS project. This initiative, focused on mushroom cultivation and sustainable agricultural practices, has successfully developed innovative solutions, including mushroom growing cabinets, spent mushroom substrate utilization strategies, and composting recipes tailored for oyster mushroom cultivation. The presentation provided insights into the project's impact and contributions to the broader agricultural landscape.
This document provides information on "The Food Safety Market" project, including its mission to create a transparent, data-powered certification system for the food supply chain. The 36-month project has 11 partners from 9 EU and 2 non-EU countries working on 10 pilot programs. One partner, AGRIVI, will integrate data sharing capabilities into its farm management system to allow producers to exchange certification data with inspectors and buyers through the new system.
Digitalisation in AgriFood - Cologne - March 19, 2018EIT Food
The document discusses the opportunities for digitalization across the food value chain to address challenges like environmental impact, food waste, and inefficiencies. It notes that digital technologies could help optimize resource usage, connect actors across the supply network, and generate a $4 trillion revenue opportunity by 2020. However, realizing this potential will require innovative solutions and strategies to digitally transform processes from farm to fork.
Big Data PPP Industrial Data Platforms - Towards cross-sectorial optimization and traceability
To start identifying synergies and to learn how different projects will address key data collection, sharing, integration, and exploitation challenges, a series of webinars have been organized under the umbrella of this Big Data Value PPP. These webinars are also organized by BDVA, BDVe project, and other projects which are part of this PPP.
The Internet of Things for Food - An integrated socio-economic and technologi...Sjaak Wolfert
The document discusses the use of Internet of Things (IoT) technologies for food and agriculture. It outlines four key areas where digital transformation is occurring: cloud computing, big data, analytics, and IoT. An integrated socio-economic and technological approach is needed to address issues like food integrity, decision making, public policy, and science. Case studies are presented on using IoT tools to optimize sustainable wine production and measure sustainability metrics like water and pesticide use per bottle. Developing data-driven innovation ecosystems requires addressing technical, organizational, business modeling, and governance challenges.
This project aims to develop an IoT web-based decision support system (DSS) and monitoring system for greenhouse tomato production in Europe. The system will focus on optimizing water and energy use efficiency, sustainability, safety, and transparency through climate and soil monitoring and an integrated DSS platform. It is expected to reduce production costs and pesticide use while improving water use efficiency and reducing water contamination compared to current farm performance. The system will integrate greenhouse data into a FIWARE-based application and provide a DSS tool to help farmers make decisions. It will also lay the foundation for full traceability and accessibility of data. The project plans to test the system in commercial greenhouses and with cooperatives and transport industries by 2022
This document describes a project to create a Meat Information Transparency System (MITS) using cloud services. The MITS will allow real-time data sharing across the meat supply chain between farms, slaughterhouses, meat processors, retailers, and consumers. It aims to increase transparency, reduce inspection costs by 50%, and improve inspection quality through continuous feedback based on real-time data capture and analysis. A Minimum Viable Product will be developed in phases to establish transparency first between farms and slaughterhouses, then among all partners, and finally integrate with other systems by February 2020.
Big data, agriculture and traceability, a thematic partnership for european r...cecilia gañán de molina
The document discusses establishing a European partnership on big data, agriculture, and traceability. It identifies the main challenges as building capacity and knowledge among all actors in the value chain in a collaborative way to address global issues like food security. Regions show interest in using big data for intelligent monitoring of value chains and incorporating consumer experiences into decision making. While regions differ in technological knowledge, they prefer a cooperation-based partnership through an existing network or memorandum of understanding rather than a new legal entity. Key strengths include the strategic opportunity, potential support from the EU and regional public-private-academic partnerships.
The document provides an overview of the TheFSM project, which aims to create an industrial data platform to boost food certification in Europe. The project is funded by the EU and involves 16 partners from 8 countries. The objectives are to develop a platform for secure data sharing between food companies and suppliers to support inspection and certification. It will utilize semantic technologies, multilingual support, smart contracts, and real-time processing of big data. Pilots will test the platform's use for activities like traceability, quality management, and certification along food supply chains.
RFID from Farm to Fork 28 September 2011 IIBC, PuneMarco Battistella
Treviso Tecnologia has presented the RFID-F2F project on 28th September at the Indo-Italian Business Conference (IIBC2011) in Pune, India.
For this event, Anilkumar Dave has had a speech at a round table focused on Agri & Food Processing Technology; for this conference it has been prepared a presentation called "Innovation in food sector: the case of 'F2F from Farm to Fork' project", and plan to distribute some 50 brochures introducing the project to italian food institutions and indo-italian companies of the food produce sector interested in traceability of packed products. We choose to show some details about the pilot Vitivinicola do Ribeiro because the wine industry is important in the Maharashtra region.
This project called MUSHNOMICS aims to optimize mushroom production through data-driven innovation. It will develop AI algorithms to predict mushroom yields, create a digital platform to share data along the supply chain, and design an environmentally controlled modular farm unit. The goal is to lower costs and improve profitability for the mushroom industry through precision agriculture techniques. A consortium of universities and companies from several European countries will carry out production trials, stakeholder engagement, and dissemination activities over three years to implement and validate the MUSHNOMICS system.
This document provides information about Prof. Vesna Bengin and the BioSense Institute in Serbia. BioSense is a public research institute focused on information technology in agriculture and food systems. It has 84 permanent staff and 50 part-time staff conducting multidisciplinary research. BioSense's mission is to apply information technologies to address challenges in agriculture through projects like their Digital Farm, which demonstrates technologies like sensors, drones and satellite imagery to farmers. BioSense also operates an Accelerator program to provide funding and support to startups and SMEs in agtech and foodtech through various EU-funded projects totaling over 30 million Euros. They aim to establish a permanent accelerator facility to support commercialization and reduce
FIWARE Global Summit - Digitanimal: “FIWARE Enabled Products Go Live in the F...FIWARE
The document discusses ShareBeef, the first FIWARE SoS platform that promotes more efficient and sustainable meat production using technology. It monitors over 10,000 connected animals on farms in over 40 countries. The platform uses sensors, RFID tags, and cloud/AI solutions to provide optimization, early problem detection, and peace of mind for farmers. It has the potential to reduce greenhouse gas emissions and land usage while increasing production. The system also enables traceability and data sharing across the entire food chain using blockchain.
This presentation was held at the FI-PPP phase 3 workshop, 6-7 March in Brussels. Especially explaining how and on what conditions phase 3 projects can use the FIspace platform.
The Spanish pilot of the FOODIE project is taking place in Galicia, Spain on 160 hectares of vineyards owned by Terras Gauda. The project aims to implement precision viticulture techniques through initial zoning of parcels, installation of sensors to monitor variability, and evaluation of grape production and wine quality based on zoning. SERESCO is leading the pilot and working with Terras Gauda to define requirements, analyze results, and provide oenological expertise.
The document discusses content development for agricultural decision support systems in India. It outlines a framework for developing location and crop-specific content to support the eSagu personalized agricultural advisory system and eAgromet weather advisory system. The framework involves developing detailed chapters on topics like crop varieties, soil types, cultivation practices, pest and nutrient management, etc. specific to different crops and regions. This localized content would help agricultural experts provide better advice to farmers through the advisory systems by improving their understanding of diverse local growing conditions and issues. Developing such comprehensive yet tailored content is challenging but critical for making systems like eSagu and eAgromet more effective.
Similar to IoF2020 project overview for S3 platform Big Data and Traceability (20)
The outline of this presentation consists of three parts. First, I will describe the trends and developments concerning the digital transformation of the agri-food sector. This will conclude with the definition of the innovation challenge for digital innovation in this sector. Then I will introduce an integrated innovation approach to address this challenge. Finally, I will use a real-life example from pig production to illustrate how this approach works in practice. Finally, I will end up with some conclusions.
I showed how the digital transformation of the agri-food sector is taking place and that there is a clear potential for sustainable food systems. Through the digital transformation a lot of data is produced which can be used for multiple purposes. You have learned that digital innovation is not only about technology, but that technical and organizational issues should be addressed, at the same time. Therefore, digital innovation should take place in a real-life context by use case projects, following a multi-disciplinary, collaborative, agile approach.
If you are interested in more details about the Pig Farm Management, contact Jarissa Maselyne from ILVO. I encourage you to join the SmartAgriHubs community by registering in the Innovation Portal and you can also come to the final event in Lisbon within a few weeks. Hundreds of stakeholders and more than 20 partner projects are coming together to share experiences on Digital Innovation in the Agri-Food sector. You are also welcome to subscribe to our on-line course that is enabled by Wageningen Academy. And finally, if you want to know more about how we deal with data in Wageningen, contact the Wageningen Data Competence Center.
This document proposes a structure for projects applying to the F2F-02-04 call topic, which aims to develop innovative digital solutions for small- and medium-sized farms and farm structures. It suggests that projects have a similar work package structure as previous IoF2020 projects, with work packages focused on use cases, technical support, business modeling, and ecosystem development. It offers for SmartAgriHubs to coordinate these common work packages across projects and provide training and support through their network of digital innovation hubs. This centralized support aims to ensure outcomes are successfully upscaled and sustained within the SmartAgriHubs ecosystem.
IoT and 5G in Agriculture: opportunities and challengesSjaak Wolfert
This is a keynote presentation at a workshop that was organized by Marconi Labs Coltano on 'Wireless technologies in agriculture. The presentation describes the general trend of digitalization in agriculture and food production. This is further illustrated by the IoF202 use case 'Big Wine Optimization' that demonstrates use of the Internet of Things (IoT) in agri-food. From this use case an overall, integrated approach to work on digital innovation is deducted which emphasizes both technological as well as organizational aspects. It also briefly introduces the potential use of 5G illustrated by a use case of the weed detection robot using a pre-5G network in The Netherlands. Recommendations to leapfrog development are provided for three distinctive scenarios ranging from 'no smart farming yet applied' to '5G implementation available'. The presentation ends with conclusions, that are also provided in Italian.
AI for intelligent services in Food SystemsSjaak Wolfert
This presentation was presented at the IEEE 5G Worldforum in a session 'Dialogues between 5G/B5G and Vertical Domains: AI for Intelligent Services. Several use cases in Food Systems that use 5G are presented of which the 'weed detection robot' in more detail. Enabling factors and recommendations for the use of 5G to create intelligent services using AI are discussed.
Navigating the twilight zone - pathways towards digital transformation of foo...Sjaak Wolfert
The document discusses navigating the "Twilight Zone" of digital transformation in food systems. It outlines the need for a paradigm shift from standalone applications to integrated systems involving multiple stakeholders. It proposes looking through 5 lenses: business models in the data economy, responsible data sharing, digital inclusiveness, integrative artificial intelligence, and cross-sectoral integration. An integrated approach is suggested involving stakeholders from design to evaluation, with alignment of public and private funding to support digital innovation projects in the Twilight Zone.
APPLICATION OF BIG DATA IN ENHANCING EFFECTIVE DECISION MAKING IN AGRICULTURA...Sjaak Wolfert
The agriculture production system increasingly becomes data-driven and data-enabled based on the cyber-physical management cycle. This paper describes several IoT-applications of the EU-funded IoF2020 project in which data and data-sharing plays a crucial role. It provides an integrative framework aiming at cross-fertilisation, co-creation and co-ownership of results. Technical integration, business support and ecosystem development are key mechanisms to realize this.
Guidelines for governance of data sharing in agri foodSjaak Wolfert
Big Data is becoming a new asset in the agri-food sector including enterprise data from operational systems, sensor data, farm equipment data, etc. Recently, Big Data applications are being implemented to improve farm and chain performance in agri-food networks. Still, many companies are refraining from sharing data because of fear of governance issues such as data insecurity, or lack of privacy or liability, among others. To overcome such barriers for developments with Big Data, this paper aims at: 1) analysing governance issues in agri-food networks, and 2) introducing a set of guidelines for data-sharing. Based on a literature review, a framework for analysing agri-food networks was developed, with internal governance factors (efficiency, effectiveness, inclusiveness, legitimacy & accountability, credibility and transparency) and external governance factors (political, economic, social, technological, legal and environmental factors). The framework contributes to development of a set of draft guidelines. Accordingly, for each factor, the guidelines address issues, best practices and lessons learned from other projects and initiatives. The approach developed in this paper creates a baseline for possible future developments of Big data in terms of 1) upscaling of the guidelines at a global level, 2) refining and fine-tuning of the guidelines for context specific agri-food networks, and 3) contributing to solving governance challenges in data sharing. In the future, the relevance of Big Data in the agri-food domain is expected to increase, and so are the contributions of this approach.
Presentation for a group of employees of Centric, a large software consultancy company. It provides an illustration of how IoT is currently being developed in farming, agri-logistics and food consumption. It also addresses the technical and organizational challenges that have to be overcome to make IoT application in agri-food a success. Open platforms and software development and above all appropriate business models are key issues that have to be addressed. The new EU-project "Internet of Food and Farm 2020" will address these issues by fostering a collaborative IoT ecosystem to upscale the use of IoT in agri-food.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Full-RAG: A modern architecture for hyper-personalization
IoF2020 project overview for S3 platform Big Data and Traceability
1. PROJECT OVERVIEW
With special attention to Big data and Traceability
SJAAK WOLFERT, SCIENTIFIC PROJECT COORDINATOR
Technical meeting of the thematic partnership on “Traceability and Big Data”
Smart specialization platform S3P Agrifood,
Sevilla, Spain, March 28 & 29, 2017
3. Involving entire supply chain and beyond
Smart Farming
Smart Logistics
tracking/& tracing
Domotics Health
Fitness/Well-being
4. PROJECT
OBJECTIVES
IoF2020 fosters a large-scale uptake of IoT in
the European farming and food sector. In
brief, it aims to:
• Demonstrate the business case of IoT for
a large number of application areas in
farming and food sector;
• Integrate and reuse available IoT
technologies by exploiting open
infrastructures and standards;
• Ensure user acceptability of IoT solutions
in farming and food sector by addressing
user needs, including security, privacy and
trust issues;
• Ensure the sustainability of IoT solutions
beyond the project by validating the
related business models and setting up an
IoT ecosystem for large scale uptake.
4
5. IOF2020 IN BRIEF
5
71 partners
organisations
16 countries
4 years
Start = January 2017
€35 million budget
(€30 million EU co-
funding)
6. beyond the
project
open callIoF2020 will pave the way for:
• Data-driven Farming;
• Autonomous Farm
Operations;
• Virtual Food Chains;
• Personalized Nutrition for
European citizens.
AMBITION & VISION
LARGE-SCALE EXPANSION
8. INTERNET OF
FRUIT
• Fresh table grapes chain: real-time
monitoring and control of water supply
and crop protection of table grapes and
predicting shelf life
• Big wine optimization: optimizing
cultivation and processing of wine by
sensor-actuator networks and big data
analysis within a cloud framework
• Automated olive chain: automated field
control, product segmentation, processing
and commercialisation of olives and olive
oil
• Intelligent fruit logistics: fresh fruit
logistics through virtualization of fruit
products by intelligent trays within a low-
power long-range network infrastructure
JANUARY 1 2017
9. INTERNET OF
VEGETABLES
• Chain-integrated greenhouse
production: integrating the value
chain and quality innovation by
developing a full sensor-actuator
based system in tomato greenhouses
• Added value weeding data: boosting
the value chain by harvesting weeding
data of organic vegetables obtained by
advanced visioning systems
• Enhanced quality certification
system: enhanced trust and
simplification of quality certification
systems by use of sensors, RFID tags
and intelligent chain analyses
JANUARY 1 2017
10. INTERNET OF
MEAT
• Pig farm management: optimise
pig production management by
interoperable on-farm sensors
and slaughter house data
• Poultry chain management:
Optimize production, transport
and processing of poultry meat by
automated ambient monitoring &
control and data analyses
• Meat Transparency and
Traceability: enhancing
transparency and traceability of
meat based on an monitored
chain event data in an EPCIS-
infrastructure
JANUARY 1 2017
11. IoF2020 Ecosystem & Collaboration Space
WP1ProjectCoordination&
Management
GENERIC APPROACH & STRUCTURE
WP2 Trials/Use cases: Knowledge & App development
Lean multi-actor approach
3. Evaluation
1. Co-design
2. Implementation
P1
P2 Large
scale
P3
WP3 IoT Integration WP4 Business Support
WP5 Ecosystem Development
13. IoF2020 is funded by the Horizon 2020 Framework Programme of the European Union.
Grant Agreement no. 731884. Visit iof2020.eu for more information about the project.
CONTACT INFORMATION
Sjaak Wolfert
sjaak.wolfert@wur.nl
+31 317 485 939
THANK YOU FOR YOUR ATTENTION!
Editor's Notes
This slide provides an overview of the project aim and objectives.
Some key figures about the project:
The Consortium comprises 71 partners from 16 countries.
The project duration is 4 years (Start in January 2017 and end in December 2020)
The total budget is €35 million (of which €30 million co-funded by the EU under the Horizon 2020 Framework Programme for Research and Innovation)
IoF2020 will organize an open call around mid‐term for being able to involve new users in the use cases, develop additional and specifically more innovative applications, as well as to replicate the use cases through new sites or new connected devices, and complementary assessment of the acceptability of the use cases.
IoF2020 will pave the way for:
Data-driven Farming: IoF2020 will help farmers to change from ‘management by gut feeling’ towards ‘management by facts’, which is of crucial importance to survive its increasingly demanding business environment.
Autonomous Farm Operations: IoF2020 will improve the connectedness and intelligence of farm automation. As such it will enable farm equipment to become autonomous, self‐adaptive systems that can operate, decide and even learn without on‐site or remote intervention by humans.
Virtual Food Chains: IoF2020 will enable to virtualize food supply chain management which allows for advanced remote (re)planning, monitoring and control capabilities and for new business models.
Personalized Nutrition: personalized nutrition monitoring and advices by using smartphones, that make use of connected sensors, wearables like smart watches, equipment at home (e.g. refrigerators, weighing machines) and outdoor equipment (e.g. in canteens, restaurants, super markets, fitness clubs).
The core of the project lies within 5 trials. These cover 5 sectors (arable, dairy, fruits, vegetables and meat).
To showcase each of the trials, the project is organized around 19 use cases.
Through these projects we have developed a success formula in approaching the challenge of ICT and Information Management in Agri-Food :
Trials and use cases form the core, in which we jointly develop as research and business organisations, knowledge and application through a lean multi-actor approach
This means that we quickly develop minimum viable products with involvement of all relevant stakeholders and upscale these through several cycles of development
In parallel we create synergy by
Technical integration: open architectures, standard that can be used as generic building blocks in the trials and use cases
Governance and business modelling: solve issues that arise from the trials and use cases regarding ownership, privacy, trust, etc. and support the businesses in developing sustainable business plans for the apps, services and organization structures that are being developed
Ecosystem Development – support the trials and use cases in embedding their solutions in global ecosystems and upgrading them to a large scale
Project coordination and management is trivial, but we have shown that Wageningen University and Research is very capable to fulfil this role in large public-private projects
This integrated approach will guarantee long-term, sustainable results from these projects.