An overview of DEMETER and some of the pilot activities delivered at the European Regions Summit for Smart Communities organised by H2020 project, Auroral.
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.
EFRA is an EU-funded project that will develop the first analytics-enabled, green data space for AI-enabled food risk prevention. It will explore how extreme data mining, aggregation and analytics may address major scientific, economic and societal challenges associated with the safety and quality of the food that European consumers eat.
EFRA is an EU-funded project that will develop the first analytics-enabled, green data space for AI-enabled food risk prevention. It will explore how extreme data mining, aggregation and analytics may address major scientific, economic and societal challenges associated with the safety and quality of the food that European consumers eat.
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.
The world of agriculture is undergoing a digital revolution, and eFarming has emerged as a transformative approach to sustainable food production. eFarming involves the use of technology and data-driven techniques to revolutionize agricultural practices. It brings together the power of advanced sensors, automation, and analytics to optimize farming processes and achieve better outcomes. By leveraging innovations such as Internet of Things (IoT), data analytics, and automation, eFarming offers a promising pathway for farmers to enhance their operations and make informed decisions.
The advantages of eFarming are numerous. It can help farmers optimize efficiency, reduce resource consumption, and improve overall productivity in the agricultural sector. For instance, eFarming can help farmers monitor soil moisture, temperature, and nutrient levels in real-time, which can help them make informed decisions about irrigation, fertilization, and pest control. This can lead to significant savings in water and fertilizer usage, as well as reduced pesticide application. eFarming can also help farmers reduce labor costs by automating tasks such as planting, harvesting, and monitoring crop health. This can free up time for farmers to focus on other aspects of their operations, such as marketing and sales.
The implementation of eFarming relies on several key technologies. One of the most important is the Internet of Things (IoT), which involves the use of sensors and other devices to collect data from the environment. This data can then be analyzed to provide insights into soil health, crop growth, and other factors that affect agricultural productivity. Other key technologies include data analytics, which can help farmers make sense of the vast amounts of data generated by IoT devices, and automation, which can help farmers reduce labor costs and improve efficiency.
Despite its many advantages, eFarming also faces several challenges. One of the biggest is the cost of implementing new technologies. Many farmers operate on tight budgets, and the cost of purchasing and installing new equipment can be prohibitive. Another challenge is the lack of technical expertise among farmers. Many farmers are not familiar with the latest technologies and may not know how to use them effectively. Finally, eFarming also faces regulatory challenges, such as data privacy concerns and the need to comply with environmental regulations.
To address these challenges, several solutions have been proposed. One is to provide farmers with access to affordable financing to help them purchase new equipment. Another is to provide training and education to farmers to help them understand how to use new technologies effectively. Finally, policymakers can help by creating a supportive regulatory environment that encourages the adoption of eFarming technologies.
Several successful case studies demonstrate the potential of eFarming to revolutionize agriculture.
BRINGING INNOVATION AND SUSTAINABILITY ALONG THE WHOLE VALUE CHAIN IN THE MED...ICARDA
Tunis, 6-7 November 2019. Training workshop PRIMA – Partnership for Research and Innovation in the Mediterranean Area is the most ambitious joint programme to be undertaken in the frame of Euro-Mediterranean cooperation.
Presentation by Prof. M. Hachicha National Research Institute in Rural Engineering, Water and Forestry, University of Carthage | UCAR
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.
EFRA is an EU-funded project that will develop the first analytics-enabled, green data space for AI-enabled food risk prevention. It will explore how extreme data mining, aggregation and analytics may address major scientific, economic and societal challenges associated with the safety and quality of the food that European consumers eat.
EFRA is an EU-funded project that will develop the first analytics-enabled, green data space for AI-enabled food risk prevention. It will explore how extreme data mining, aggregation and analytics may address major scientific, economic and societal challenges associated with the safety and quality of the food that European consumers eat.
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.
The world of agriculture is undergoing a digital revolution, and eFarming has emerged as a transformative approach to sustainable food production. eFarming involves the use of technology and data-driven techniques to revolutionize agricultural practices. It brings together the power of advanced sensors, automation, and analytics to optimize farming processes and achieve better outcomes. By leveraging innovations such as Internet of Things (IoT), data analytics, and automation, eFarming offers a promising pathway for farmers to enhance their operations and make informed decisions.
The advantages of eFarming are numerous. It can help farmers optimize efficiency, reduce resource consumption, and improve overall productivity in the agricultural sector. For instance, eFarming can help farmers monitor soil moisture, temperature, and nutrient levels in real-time, which can help them make informed decisions about irrigation, fertilization, and pest control. This can lead to significant savings in water and fertilizer usage, as well as reduced pesticide application. eFarming can also help farmers reduce labor costs by automating tasks such as planting, harvesting, and monitoring crop health. This can free up time for farmers to focus on other aspects of their operations, such as marketing and sales.
The implementation of eFarming relies on several key technologies. One of the most important is the Internet of Things (IoT), which involves the use of sensors and other devices to collect data from the environment. This data can then be analyzed to provide insights into soil health, crop growth, and other factors that affect agricultural productivity. Other key technologies include data analytics, which can help farmers make sense of the vast amounts of data generated by IoT devices, and automation, which can help farmers reduce labor costs and improve efficiency.
Despite its many advantages, eFarming also faces several challenges. One of the biggest is the cost of implementing new technologies. Many farmers operate on tight budgets, and the cost of purchasing and installing new equipment can be prohibitive. Another challenge is the lack of technical expertise among farmers. Many farmers are not familiar with the latest technologies and may not know how to use them effectively. Finally, eFarming also faces regulatory challenges, such as data privacy concerns and the need to comply with environmental regulations.
To address these challenges, several solutions have been proposed. One is to provide farmers with access to affordable financing to help them purchase new equipment. Another is to provide training and education to farmers to help them understand how to use new technologies effectively. Finally, policymakers can help by creating a supportive regulatory environment that encourages the adoption of eFarming technologies.
Several successful case studies demonstrate the potential of eFarming to revolutionize agriculture.
BRINGING INNOVATION AND SUSTAINABILITY ALONG THE WHOLE VALUE CHAIN IN THE MED...ICARDA
Tunis, 6-7 November 2019. Training workshop PRIMA – Partnership for Research and Innovation in the Mediterranean Area is the most ambitious joint programme to be undertaken in the frame of Euro-Mediterranean cooperation.
Presentation by Prof. M. Hachicha National Research Institute in Rural Engineering, Water and Forestry, University of Carthage | UCAR
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
Farmer-oriented innovation: outcomes from a first bootcampDavide Rizzo
Suggested citation: Dantan J, Rizzo D, Fourati F, Dubois M, Jaber M (2018) Farmer-oriented innovation: outcomes from a first bootcamp. 3rd Abbé Grégoire Innovation Days, April 3rd Paris.
+ + + + + + + We have explored the construction of solutions around farmers' questions about the culture of knowledge sharing (Open Source & Open Hardware Initiatives). To tackle such challenges, UniLaSalle has almost finished building the AgriLab® platform. AgriLab® is a “new generation” laboratory which is, among others, a rapid prototyping platform in digital technologies (robotics, collaboration platforms, big data processing and decision support tools) and in agro-equipment. Dedicated to open innovation, this platform promotes the culture of knowledge sharing. It is part of the worldwide movement of free knowledge exchange for a more sustainable agriculture.
Following, we will present and discuss the major outcomes from a first Bootcamp, as an example of a farmer-oriented event designed upon the open-source IoT in smart farming.
An overview of the DEMETER H2020 project which aims to lead the digital transformation of Europe’s agri-food sector through the rapid adoption of advanced IoT technologies, data science and smart farming, ensuring its long-term viability and sustainability.
DEMETER is a large-scale deployment of farmer centric, interoperable smart farming-IoT based platforms delivered through a series of 20 pilots across 18 countries (14 States in the EU).
This presentation gives an overview of the DEMETER objectives and the pilot projects involved. Involving 60 partners, DEMETER adopts a multi-actor approach across the value chain (demand and supply), with 25 deployment sites, 6,000 farmers and over 38,000 devices and sensors being deployed and participants involved come from different production sectors (dairy, meat, vegetables, fruit and arable crops), production systems (conventional and organic) and different farm sizes and types, optimising the data analysis obtained across multiple farms.
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
Today, majority of the farmers are dependent on agriculture for their survival. But
majority of the agricultural tools and practices are outdated and it yields less crop
products, because everything is depends on environment and Government support. The
world population is becoming more comparatively cultivation land and crop yield. It is
essential for the world to increase the yielding of the crop by adopting information
technology and communication plays a vital role in smart farming. The objective of this
research paper to present tools and best practices for understanding the role of
information and communication technologies in agriculture sector, motivate and make
the illiterate farmers to understand the best insights given by the big data analytics using
machine learning
Modern farming has gone through a massive upgrade due to the evolution of the latest technologies. The tech innovations have given a complete overhaul to the agriculture industry.
This post highlights the most recent innovation in Agriculture that are likely to dominate in the future.
Read here for more details!
With the advent of new technologies and digital tools, pest control has evolved to become more efficient, effective, and sustainable. From drones and sensors to artificial intelligence and mobile apps,
Best practices for digital tool inclusiveness & farmer co-creation of practicesSadie W Shelton
Introduction presented by Lini Wollenberg, Alliance of Bioversity & CIAT and the University of Vermont, at the "Best practices for digital tool inclusiveness and farmer co-creation of practices with local stakeholders" workshop on 30 November 2022. The event was hosted by the Transformative Partnership Platform and the Alliance of Bioversity & CIAT.
In this informal expert workshop, the TRANSITIONS Inclusive Digital Tools (ATDT) project reviewed and received feedback from stakeholders and experts on proposed guidance for smallholder farmer’s inclusion and co-creation of farm practices for agroecology and climate change action. Invited participants included digital resource specialists, farmer-support organizations, and agroecology and climate change experts. In 2023, we will apply the principles with our action partners in Brazil and Vietnam to guide digital innovations. In the workshop we sought input to the relevance, coherence and usability of the proposed principles to guide future work.
More on the ATDT Project: https://bit.ly/InclusiveDTs
From Semantic Interoperability towards Data SpacesH2020 DEMETER
In this presentation, DEMETER representative, Dr Raul Palma discusses the practicalities of realizing data spaces - purpose, challenges and opportunities. This presentation was delivered at the SmartAgriHubs final event in September 2022.
DEMETER is developing the Agriculture Information Model (AIM) which is a data model and ontology that describes all data needed by DEMETER applications and the usage of which ensures semantic interoperability between data and various components.
At the IEEE International Conference on Omni-layer Intelligent Systems (COINS), DEMETER researchers at Tecnalia presented "A practical approach to cross-agri-domain interoperability and integration”. In the paper and presentation, we describe the process for making sensors and IoT devices interoperable with existing agri-solutions, and to federate data and services between two agricultural smart platforms, more precisely the AFarCloud and DEMETER solutions. This approach is in line with EU data-driven strategy and GAIA-X’s federation strategy. Finally, we present the use case where this process has been tested and validated, i.e. Kotipelto farm, a dairy farm located in Ylivieska (Finland).
More Related Content
Similar to DEMETER – European Regions Summit for Smart Communities
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
Farmer-oriented innovation: outcomes from a first bootcampDavide Rizzo
Suggested citation: Dantan J, Rizzo D, Fourati F, Dubois M, Jaber M (2018) Farmer-oriented innovation: outcomes from a first bootcamp. 3rd Abbé Grégoire Innovation Days, April 3rd Paris.
+ + + + + + + We have explored the construction of solutions around farmers' questions about the culture of knowledge sharing (Open Source & Open Hardware Initiatives). To tackle such challenges, UniLaSalle has almost finished building the AgriLab® platform. AgriLab® is a “new generation” laboratory which is, among others, a rapid prototyping platform in digital technologies (robotics, collaboration platforms, big data processing and decision support tools) and in agro-equipment. Dedicated to open innovation, this platform promotes the culture of knowledge sharing. It is part of the worldwide movement of free knowledge exchange for a more sustainable agriculture.
Following, we will present and discuss the major outcomes from a first Bootcamp, as an example of a farmer-oriented event designed upon the open-source IoT in smart farming.
An overview of the DEMETER H2020 project which aims to lead the digital transformation of Europe’s agri-food sector through the rapid adoption of advanced IoT technologies, data science and smart farming, ensuring its long-term viability and sustainability.
DEMETER is a large-scale deployment of farmer centric, interoperable smart farming-IoT based platforms delivered through a series of 20 pilots across 18 countries (14 States in the EU).
This presentation gives an overview of the DEMETER objectives and the pilot projects involved. Involving 60 partners, DEMETER adopts a multi-actor approach across the value chain (demand and supply), with 25 deployment sites, 6,000 farmers and over 38,000 devices and sensors being deployed and participants involved come from different production sectors (dairy, meat, vegetables, fruit and arable crops), production systems (conventional and organic) and different farm sizes and types, optimising the data analysis obtained across multiple farms.
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
Today, majority of the farmers are dependent on agriculture for their survival. But
majority of the agricultural tools and practices are outdated and it yields less crop
products, because everything is depends on environment and Government support. The
world population is becoming more comparatively cultivation land and crop yield. It is
essential for the world to increase the yielding of the crop by adopting information
technology and communication plays a vital role in smart farming. The objective of this
research paper to present tools and best practices for understanding the role of
information and communication technologies in agriculture sector, motivate and make
the illiterate farmers to understand the best insights given by the big data analytics using
machine learning
Modern farming has gone through a massive upgrade due to the evolution of the latest technologies. The tech innovations have given a complete overhaul to the agriculture industry.
This post highlights the most recent innovation in Agriculture that are likely to dominate in the future.
Read here for more details!
With the advent of new technologies and digital tools, pest control has evolved to become more efficient, effective, and sustainable. From drones and sensors to artificial intelligence and mobile apps,
Best practices for digital tool inclusiveness & farmer co-creation of practicesSadie W Shelton
Introduction presented by Lini Wollenberg, Alliance of Bioversity & CIAT and the University of Vermont, at the "Best practices for digital tool inclusiveness and farmer co-creation of practices with local stakeholders" workshop on 30 November 2022. The event was hosted by the Transformative Partnership Platform and the Alliance of Bioversity & CIAT.
In this informal expert workshop, the TRANSITIONS Inclusive Digital Tools (ATDT) project reviewed and received feedback from stakeholders and experts on proposed guidance for smallholder farmer’s inclusion and co-creation of farm practices for agroecology and climate change action. Invited participants included digital resource specialists, farmer-support organizations, and agroecology and climate change experts. In 2023, we will apply the principles with our action partners in Brazil and Vietnam to guide digital innovations. In the workshop we sought input to the relevance, coherence and usability of the proposed principles to guide future work.
More on the ATDT Project: https://bit.ly/InclusiveDTs
From Semantic Interoperability towards Data SpacesH2020 DEMETER
In this presentation, DEMETER representative, Dr Raul Palma discusses the practicalities of realizing data spaces - purpose, challenges and opportunities. This presentation was delivered at the SmartAgriHubs final event in September 2022.
DEMETER is developing the Agriculture Information Model (AIM) which is a data model and ontology that describes all data needed by DEMETER applications and the usage of which ensures semantic interoperability between data and various components.
At the IEEE International Conference on Omni-layer Intelligent Systems (COINS), DEMETER researchers at Tecnalia presented "A practical approach to cross-agri-domain interoperability and integration”. In the paper and presentation, we describe the process for making sensors and IoT devices interoperable with existing agri-solutions, and to federate data and services between two agricultural smart platforms, more precisely the AFarCloud and DEMETER solutions. This approach is in line with EU data-driven strategy and GAIA-X’s federation strategy. Finally, we present the use case where this process has been tested and validated, i.e. Kotipelto farm, a dairy farm located in Ylivieska (Finland).
DEMETER - The Farmers Voice - March 2022.pdfH2020 DEMETER
H2020 project, DEMETER, organised a webinar called 'The Farmer's Voice' to share the results of their survey which examined the drivers and barriers to farmers using Smart Farming Technologies. The webinar was organized in association with SVG Ventures | THRIVE and the World Farmer's Organisation (WFO). The results of the survey are shared, as are presentations from Ambra Raggi, Policy Officer (WFO) and Danny O'Brien, Managing Director of EMEA at THRIVE.
The key issues uncovered from the survey were discussed with farmers, technology providers and experts in the domain.
https://h2020-demeter.eu/the-farmers-voice-speakers-confirmed/
The DEMETER Open Call #2, DEPLOY, seeks to fund the deployment of new, high value pilots in the agrifood sector. This document represents the presentations given at the Open Call webinar explaining DEMETER, the Open Call and the DEMETER technical offering.
DEMETER - Data Driven Innovation in the Agrifood sectorH2020 DEMETER
In this presentation, Dr Ioanna Roussaki and Dr Raul Palma present the DEMETER concept, objectives and pilots and gives an over of the DEMETER Agricultural Information Model. This was presented at the European Evaluation Helpdesk for Rural Development, Good Practice Workshop in October 2021.
At the IEEE 5G& Blockchain Summit in 2021, Srdjan Krco from DunavNET and Brana Rakic from Origin Trail discuss how blockchain technology and decentralized knowledge graphs are being implemented in DEMETER from farm to fork, across the supply chain.
This presentation gives an overiew of the objectives & activites of Horizon 2020 project, DEMETER, which aims to drive the digitisation of the EU agrifood sector. The presentation was given at the IEEE World Forum.
Demeter - AIOTI Webinar Presentation - June 2020H2020 DEMETER
Project Coordinator, Kevin Doolin of TSSG, talks about data sharing in agriculture in the frame of the H2020 DEMETER project. Kevin explains the DEMETER reference architecture which is focused around a series of enabling technologies.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
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Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
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In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
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But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
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Charlie Greenberg, Host
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Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
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Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
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Learn about:
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• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
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Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
5. Place
Pilot
icon 6 Objectives
1. Real World Impact
2. Benchmarking
3. Data Ownership
4. User Orientated Solutions
5. Information Modelling
6. Knowledge Exchange Mechanisms
9. Pilot 1.1&1.2 - Water and Energy Savings in
Irrigated Crops
Soil sensors, meteorological stations, satellite imagery,
remote control systems.
10. Pilot 3.3 - Pest Management Control on Fruit Fly
Automatic traps, sensors and machine learning to optimise the release
strategy of sterile male fruit flies reducing use of pesticides.
11. Pilot 5.2 - Farm of Things in Extensive Cattle
Holdings
New technologies (sensor and surveillance systems) aim to
improve animals’ wellbeing and health in dairy farms, and
how this can affect the quality and information of processed
products.
12. Place
Pilot
icon Collaborative Development
* DEMETER follows a multi-actor
approach (MAA)
* Understanding stakeholders’
needs, interests and concerns
• E.g. Recent Farmer Survey
conducted
* Two Open Call funding rounds to
engage technology providers
* Work closely with other H2020
projects such as SmartAgriHubs,
NIVA, ATLAS, OPEN DEI etc
13. For more information visit:
www.h2020-demeter.eu
or Email us at :
info@h2020-demeter.eu