FOODIE project has just entered in the last 6 months of its lifetime. This issue intends to keep you updated about the
progress in pilot sites and technical activities. Scroll down and find out important dates to be saved in your agenda! Do
not miss the last occasions to meet project partners!
FOODIE project has entered in the last year of its schedule. This seventh issue covers the period from March 2016 to
June 2016 and gives evidence of the more mature technical results and progress in pilot sites. In addition, you are
provided with an overview of the upcoming events and a brief summary of the past events where the FOODIE Team
presented the project. We hope you find the information interesting!
A robot from the scratch in 5 months. How agronomy students could master agri...Davide Rizzo
Education and training are identified as key elements to support precision agriculture in Europe and operationalize the transition towards sustainable production systems. In particular, the French agricultural machinery sector is aware that leveraging precision agriculture requires a closer consideration of the farmers’ needs. Hence, educational programs are expected to bridge the gap between agriculture and machinery design and innovation. In this paper we will discuss the learning process that led a group of students in agronomy at mastering robotics and how this could help improving educational programs on agricultural equipment. The context was a competition organized by a French applied agricultural research organization that challenged students to build a robot for the mechanical weeding of sugar beet. The teachers adopted a design thinking approach, supporting the students only if needed, rather promoting the students’ appropriation of the subject. The farming experience of the students allowed them to choose the simplest sensor, which used the plants as physical boundaries of the robot navigation corridor. This simple and robust solution exploited the agronomic characteristics of the sugar beet that is sown on straight lines and it is not damaged by physical contact. Furthermore, this choice was suited for working in field conditions and easily understandable by the practitioners. In conclusion, we discuss the lessons learned about the environmental and educational conditions that allowed this experience and that could help agricultural students and farmers at mastering new technologies and equipment innovation.
This document introduces the second prototypes related to the Advanced Rich Interfaces. It includes both a description of the interfaces specifically developed for the dashboard, the widgets, and a section including guidelines
and recommendations on how to develop further widgets. A final section deals with the mobile application implemented for the project, a native android application.
This deliverable, D4.3.2 Event based notification services, is the result of task T4.4 Reporting and alerts,
which aims at defining a set of components that enable FOODIE platform to generate - in an automatic
manner - diverse notifications and reports for its users (principally for the farmers) based on the data
collected and stored in its various repositories of information.
D5.1.2 pilots description and requirements elicitation reportFOODIE_Project
The document describes the pilots that are going to be executed throughout the project and presents all the information gathered in this phase.
The analysis has been done in a formal way in order to be able to help as an input for the platform description,
so the use of a well-established methodology has been an important point to agree on. This analysis will follow
the RM-ODP methodology which has been successfully applied in many previous EU research projects related to
the geospatial, environmental and agricultural domains. Methodological approach is described in chapter two.
FOODIE concepts and objectives will be demonstrated in three different pilot scenarios across Europe: Spain, Czech Republic and Germany.
Il modello SOSTAC e PRACE di SmartInsights.com, presentato al Master Social media marketing dello IULM. Come impostare una strategia di marketing digitale secondo un modello che considera le 4 fasi del funnel: 1) Reach 2)Act 3)Convert 4) Engage.
The newsletter provides an update on the FOODIE project, which aims to provide an open data platform for agricultural services. It discusses the ongoing pilots in Spain, Czech Republic, and Germany. It also summarizes past and upcoming events where the project has been presented, and outlines activities over the next months, including continuing to develop the pilots and presenting at various agriculture conferences.
Issue 3 (M12), delivered in February 2015. It was dedicated to the activities performed during the first year of the project, along with an overview of the preliminary results achieved, the main information on pilot execution, and details of the events attended. Finally, an outlook to the upcoming conferences was provided as well as direct links to FOODIE news and direct link to the press releases.
FOODIE project has entered in the last year of its schedule. This seventh issue covers the period from March 2016 to
June 2016 and gives evidence of the more mature technical results and progress in pilot sites. In addition, you are
provided with an overview of the upcoming events and a brief summary of the past events where the FOODIE Team
presented the project. We hope you find the information interesting!
A robot from the scratch in 5 months. How agronomy students could master agri...Davide Rizzo
Education and training are identified as key elements to support precision agriculture in Europe and operationalize the transition towards sustainable production systems. In particular, the French agricultural machinery sector is aware that leveraging precision agriculture requires a closer consideration of the farmers’ needs. Hence, educational programs are expected to bridge the gap between agriculture and machinery design and innovation. In this paper we will discuss the learning process that led a group of students in agronomy at mastering robotics and how this could help improving educational programs on agricultural equipment. The context was a competition organized by a French applied agricultural research organization that challenged students to build a robot for the mechanical weeding of sugar beet. The teachers adopted a design thinking approach, supporting the students only if needed, rather promoting the students’ appropriation of the subject. The farming experience of the students allowed them to choose the simplest sensor, which used the plants as physical boundaries of the robot navigation corridor. This simple and robust solution exploited the agronomic characteristics of the sugar beet that is sown on straight lines and it is not damaged by physical contact. Furthermore, this choice was suited for working in field conditions and easily understandable by the practitioners. In conclusion, we discuss the lessons learned about the environmental and educational conditions that allowed this experience and that could help agricultural students and farmers at mastering new technologies and equipment innovation.
This document introduces the second prototypes related to the Advanced Rich Interfaces. It includes both a description of the interfaces specifically developed for the dashboard, the widgets, and a section including guidelines
and recommendations on how to develop further widgets. A final section deals with the mobile application implemented for the project, a native android application.
This deliverable, D4.3.2 Event based notification services, is the result of task T4.4 Reporting and alerts,
which aims at defining a set of components that enable FOODIE platform to generate - in an automatic
manner - diverse notifications and reports for its users (principally for the farmers) based on the data
collected and stored in its various repositories of information.
D5.1.2 pilots description and requirements elicitation reportFOODIE_Project
The document describes the pilots that are going to be executed throughout the project and presents all the information gathered in this phase.
The analysis has been done in a formal way in order to be able to help as an input for the platform description,
so the use of a well-established methodology has been an important point to agree on. This analysis will follow
the RM-ODP methodology which has been successfully applied in many previous EU research projects related to
the geospatial, environmental and agricultural domains. Methodological approach is described in chapter two.
FOODIE concepts and objectives will be demonstrated in three different pilot scenarios across Europe: Spain, Czech Republic and Germany.
Il modello SOSTAC e PRACE di SmartInsights.com, presentato al Master Social media marketing dello IULM. Come impostare una strategia di marketing digitale secondo un modello che considera le 4 fasi del funnel: 1) Reach 2)Act 3)Convert 4) Engage.
The newsletter provides an update on the FOODIE project, which aims to provide an open data platform for agricultural services. It discusses the ongoing pilots in Spain, Czech Republic, and Germany. It also summarizes past and upcoming events where the project has been presented, and outlines activities over the next months, including continuing to develop the pilots and presenting at various agriculture conferences.
Issue 3 (M12), delivered in February 2015. It was dedicated to the activities performed during the first year of the project, along with an overview of the preliminary results achieved, the main information on pilot execution, and details of the events attended. Finally, an outlook to the upcoming conferences was provided as well as direct links to FOODIE news and direct link to the press releases.
The newsletter provides an update on the FOODIE project, which is developing a cloud-based platform to provide agricultural services using open data. It is entering its last year. Updates include: the project is making progress on technical results and pilots; a memorandum of understanding was signed with three other projects around data sharing and management; and upcoming events where FOODIE will be presented are listed.
Issue 2 (M8), was released in October 2014. It was mainly dedicated to the progresses related to pilot scenarios and FOODIE Service Platform Specification, based on the initial elicitation of FOODIE pilots’ descriptions and end-user requirements for the scope of tailoring the services that will fulfil user concrete and daily needs.
The FOODIE Project aims to create an open data platform for the agriculture sector. It will integrate spatial and non-spatial data from various sources to provide applications and services supporting decision making. The platform will allow public and private stakeholders to publish and link their own datasets. Three pilot programs will test the platform for precision viticulture, strategic farm planning, and integrating logistics and farm management. The project seeks to make better use of existing spatial data resources and provide interoperability between heterogeneous agricultural data sources.
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.
Issue 1 (M4), was released in June 2014. It provided information on the project objectives, the three Pilots scenario and FOODIE Consortium. The FOODIE group photograph was embedded in order to make it well-acquainted. Moreover, the details of the events attended and an outlook to the upcoming conferences were provided as well as direct links to FOODIE news and direct link to the press releases.
FIWARE MEXICO WorkShop 2016 - 3. FIWARE: Open APIs for Open CitiesFIWARE Mexico
FIWARE is an open ecosystem of open APIs that enable the development of smart applications and services. It has over 25 business accelerators, 16 cities, and 1000 startups using its technologies. FIWARE aims to support global uptake of its APIs through innovation hubs, business accelerators, and engagement with cities and other regions around the world like Latin America, Canada, Japan, and Africa. The document provides examples of how FIWARE is being used in smart cities for applications like crowds detection, open data platforms, and smart parking.
The AGINFRA PLUS project received funding from the European Union's Horizon 2020 research program to accelerate user-driven innovation in e-infrastructure for food and agriculture. The three year project involves seven partners across Europe led by AGRO-KNOW IKE. It aims to develop innovative applications and workflows powered by open e-infrastructures to strengthen the AGINFRA virtual research environment for the agriculture and food domains. Three initial pilot applications will focus on agro-climatic and economic modeling, food safety risk assessment, and food security issues.
The AGINFRA PLUS project received funding from the European Union's Horizon 2020 research program to accelerate user-driven innovation in e-infrastructure for food and agriculture. The three year project involves seven partners across Europe led by AGRO-KNOW IKE. It aims to develop innovative applications and workflows powered by open e-infrastructures to strengthen the AGINFRA virtual research environment for the agriculture and food domains. Three initial pilot applications will focus on agro-climatic and economic modeling, food safety risk assessment, and food security issues.
An overview of weeding by robots – focus on European solutionsDavide Rizzo
This presentation addressed an overview of the European context, mowing towards data-intensive farming, driven by the agfood sector. It is an invited presentation in the framework of a meeting coordinated by Matthew Cutulle (Clemson University) for a Specialty Crop Research Initiative (SCRI) planning grant about Robotic Weed Control in Specialty Crops. The meeting was organized as a side event during the Southeast Regional Fruit and Vegetable Conference. The presentation provides an overview of European trends on the topic, with a focus on the French institutional perspective aiming at the support and development of agricultural robotics to face the lack of labour and the willingness to phase out glyphosate. In this context, the RobAgri association was presented. The last part lists some sources of information about agricultural robotics, with a list of European sources of information on agricultural robotics and automation. The presentation ends with a list of robot examples that were compared from the agronomic point of view.
The document discusses the Big Data Europe project, which aims to address societal challenges through integrating big data, software, and communities. It outlines 7 societal challenge pilots focusing on domains like health, agriculture, energy, transport, climate, social sciences, and security. Each pilot instantiates the Big Data Europe architecture to address a specific problem, such as replicating an open pharmaceutical data platform, monitoring energy production units, analyzing climate simulation data, and detecting man-made changes from remote sensing images. The document also provides details on the Big Data Europe platform components and compares it to other Hadoop distributions.
A key initiative of Europe is to accelerate the deployment of Data Spaces in different domains. Manufacturing Data Spaces are among the top 9 priorities set by the EC.
Data sharing among manufacturing companies and with (service) providers will be increasing in the near future, demonstrating how sharing industrial data improves company operations. Both the discrete manufacturing and process industry are impacted by such a transformation.
Consequently, the priority for manufacturing stakeholders will be to develop collaborative services based on a trusted and common framework for sharing and exchanging data and models multilaterally to overcome the interoperability challenge and implement next generation autonomous cross-enterprise industrial operations.
Currently approaches to Digital Manufacturing Platforms (DMP) and Industrial Data Platforms (IDP) do lack the ability to consistently share data across organisations at scale. In fact, it is already acknowledged that peer-to-peer data sharing, especially when involving SMEs, will not scale to unveil high-quality data sharing for manufacturing value set above.
The FIWARE Smart Industry Mission Support Committee (SIMSC) is playing a major role in this twin and green transition, facilitating the definition and adoption of common protocol and data models, as well as the spreading of enabling technologies such as Digital Twins and Artificial Intelligence. The session will drive you through the context analysis, the needs and benefits, the technologies adoption in relevant use cases and the offering of Testing and Experimental Facilities in several industrial domains.
The document summarizes initial findings from the FLAMINGO project on using smartphones for GIS data collection. It discusses (1) how the project aims to develop high-accuracy GNSS services for mass market users, (2) a new RINEX app called "rinex ON" that writes raw GNSS data to RINEX files and provides visualization tools, and (3) results from testing rinex ON which show smartphones can track satellites and measure signals accurately enough to enable real-time kinematic positioning within centimeter-level precision.
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.
BDE SC4 Hangout - Simon Scerri, IntroductionBigData_Europe
The document summarizes a transport pilot project within the Big Data Europe initiative. The project aims to utilize real-time probe data from multiple sources to provide accurate transportation information and advanced planning services to address congestion issues in Thessaloniki, Greece. Specifically, the pilot will collect mobility data from various sources to identify mobility patterns and inform citizens about traffic conditions. The data will be integrated and processed in real-time to provide up-to-date information mobility services. The Fraunhofer Society, CERTH, and ERTICO organizations are collaborating on the pilot to demonstrate the societal value of big data in the transport domain.
The document describes the BigDataEurope action, which developed the Big Data Integrator platform and conducted pilots across seven societal challenges. The Big Data Integrator provides a common architecture and tools to integrate heterogeneous data from different sources and formats. Pilots in domains like healthcare, agriculture, energy, and security demonstrated how the platform can ingest and process large amounts of data from multiple sources to enable advanced analytics and applications.
Phidias: Steps forward in detection and identification of anomalous atmospher...Phidias
PHIDIAS is organised a webinar entitled "Steps forward in detection and identification of anomalous atmospheric events" held on 13 October 2020 at 15:00 CEST in collaboration with ESCAPE project. The webinar aimed at showcasing how PHIDIAS is going to improve the usage of HPC and high performance data management services for the development of intelligent screening approaches for the exploitation of large amounts of satellite atmospheric data in an operational context.
The document defines the core business processes of the FOODIE platform based on user requirements. Eleven fundamental processes are described, including vegetation index calculation, land cover classification, machinery tracking, weather data aggregation, and fertilization planning. The processes will be implemented through open and proprietary interfaces and organized into thematic working groups. Further iterations will expand the set of defined processes.
This document describes the Marketplace application as a component of a bigger ecosystem called “FOODIE Cloud Platform”. The document explains architectural as well as implementation issues.
The newsletter provides an update on the FOODIE project, which is developing a cloud-based platform to provide agricultural services using open data. It is entering its last year. Updates include: the project is making progress on technical results and pilots; a memorandum of understanding was signed with three other projects around data sharing and management; and upcoming events where FOODIE will be presented are listed.
Issue 2 (M8), was released in October 2014. It was mainly dedicated to the progresses related to pilot scenarios and FOODIE Service Platform Specification, based on the initial elicitation of FOODIE pilots’ descriptions and end-user requirements for the scope of tailoring the services that will fulfil user concrete and daily needs.
The FOODIE Project aims to create an open data platform for the agriculture sector. It will integrate spatial and non-spatial data from various sources to provide applications and services supporting decision making. The platform will allow public and private stakeholders to publish and link their own datasets. Three pilot programs will test the platform for precision viticulture, strategic farm planning, and integrating logistics and farm management. The project seeks to make better use of existing spatial data resources and provide interoperability between heterogeneous agricultural data sources.
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.
Issue 1 (M4), was released in June 2014. It provided information on the project objectives, the three Pilots scenario and FOODIE Consortium. The FOODIE group photograph was embedded in order to make it well-acquainted. Moreover, the details of the events attended and an outlook to the upcoming conferences were provided as well as direct links to FOODIE news and direct link to the press releases.
FIWARE MEXICO WorkShop 2016 - 3. FIWARE: Open APIs for Open CitiesFIWARE Mexico
FIWARE is an open ecosystem of open APIs that enable the development of smart applications and services. It has over 25 business accelerators, 16 cities, and 1000 startups using its technologies. FIWARE aims to support global uptake of its APIs through innovation hubs, business accelerators, and engagement with cities and other regions around the world like Latin America, Canada, Japan, and Africa. The document provides examples of how FIWARE is being used in smart cities for applications like crowds detection, open data platforms, and smart parking.
The AGINFRA PLUS project received funding from the European Union's Horizon 2020 research program to accelerate user-driven innovation in e-infrastructure for food and agriculture. The three year project involves seven partners across Europe led by AGRO-KNOW IKE. It aims to develop innovative applications and workflows powered by open e-infrastructures to strengthen the AGINFRA virtual research environment for the agriculture and food domains. Three initial pilot applications will focus on agro-climatic and economic modeling, food safety risk assessment, and food security issues.
The AGINFRA PLUS project received funding from the European Union's Horizon 2020 research program to accelerate user-driven innovation in e-infrastructure for food and agriculture. The three year project involves seven partners across Europe led by AGRO-KNOW IKE. It aims to develop innovative applications and workflows powered by open e-infrastructures to strengthen the AGINFRA virtual research environment for the agriculture and food domains. Three initial pilot applications will focus on agro-climatic and economic modeling, food safety risk assessment, and food security issues.
An overview of weeding by robots – focus on European solutionsDavide Rizzo
This presentation addressed an overview of the European context, mowing towards data-intensive farming, driven by the agfood sector. It is an invited presentation in the framework of a meeting coordinated by Matthew Cutulle (Clemson University) for a Specialty Crop Research Initiative (SCRI) planning grant about Robotic Weed Control in Specialty Crops. The meeting was organized as a side event during the Southeast Regional Fruit and Vegetable Conference. The presentation provides an overview of European trends on the topic, with a focus on the French institutional perspective aiming at the support and development of agricultural robotics to face the lack of labour and the willingness to phase out glyphosate. In this context, the RobAgri association was presented. The last part lists some sources of information about agricultural robotics, with a list of European sources of information on agricultural robotics and automation. The presentation ends with a list of robot examples that were compared from the agronomic point of view.
The document discusses the Big Data Europe project, which aims to address societal challenges through integrating big data, software, and communities. It outlines 7 societal challenge pilots focusing on domains like health, agriculture, energy, transport, climate, social sciences, and security. Each pilot instantiates the Big Data Europe architecture to address a specific problem, such as replicating an open pharmaceutical data platform, monitoring energy production units, analyzing climate simulation data, and detecting man-made changes from remote sensing images. The document also provides details on the Big Data Europe platform components and compares it to other Hadoop distributions.
A key initiative of Europe is to accelerate the deployment of Data Spaces in different domains. Manufacturing Data Spaces are among the top 9 priorities set by the EC.
Data sharing among manufacturing companies and with (service) providers will be increasing in the near future, demonstrating how sharing industrial data improves company operations. Both the discrete manufacturing and process industry are impacted by such a transformation.
Consequently, the priority for manufacturing stakeholders will be to develop collaborative services based on a trusted and common framework for sharing and exchanging data and models multilaterally to overcome the interoperability challenge and implement next generation autonomous cross-enterprise industrial operations.
Currently approaches to Digital Manufacturing Platforms (DMP) and Industrial Data Platforms (IDP) do lack the ability to consistently share data across organisations at scale. In fact, it is already acknowledged that peer-to-peer data sharing, especially when involving SMEs, will not scale to unveil high-quality data sharing for manufacturing value set above.
The FIWARE Smart Industry Mission Support Committee (SIMSC) is playing a major role in this twin and green transition, facilitating the definition and adoption of common protocol and data models, as well as the spreading of enabling technologies such as Digital Twins and Artificial Intelligence. The session will drive you through the context analysis, the needs and benefits, the technologies adoption in relevant use cases and the offering of Testing and Experimental Facilities in several industrial domains.
The document summarizes initial findings from the FLAMINGO project on using smartphones for GIS data collection. It discusses (1) how the project aims to develop high-accuracy GNSS services for mass market users, (2) a new RINEX app called "rinex ON" that writes raw GNSS data to RINEX files and provides visualization tools, and (3) results from testing rinex ON which show smartphones can track satellites and measure signals accurately enough to enable real-time kinematic positioning within centimeter-level precision.
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.
BDE SC4 Hangout - Simon Scerri, IntroductionBigData_Europe
The document summarizes a transport pilot project within the Big Data Europe initiative. The project aims to utilize real-time probe data from multiple sources to provide accurate transportation information and advanced planning services to address congestion issues in Thessaloniki, Greece. Specifically, the pilot will collect mobility data from various sources to identify mobility patterns and inform citizens about traffic conditions. The data will be integrated and processed in real-time to provide up-to-date information mobility services. The Fraunhofer Society, CERTH, and ERTICO organizations are collaborating on the pilot to demonstrate the societal value of big data in the transport domain.
The document describes the BigDataEurope action, which developed the Big Data Integrator platform and conducted pilots across seven societal challenges. The Big Data Integrator provides a common architecture and tools to integrate heterogeneous data from different sources and formats. Pilots in domains like healthcare, agriculture, energy, and security demonstrated how the platform can ingest and process large amounts of data from multiple sources to enable advanced analytics and applications.
Phidias: Steps forward in detection and identification of anomalous atmospher...Phidias
PHIDIAS is organised a webinar entitled "Steps forward in detection and identification of anomalous atmospheric events" held on 13 October 2020 at 15:00 CEST in collaboration with ESCAPE project. The webinar aimed at showcasing how PHIDIAS is going to improve the usage of HPC and high performance data management services for the development of intelligent screening approaches for the exploitation of large amounts of satellite atmospheric data in an operational context.
The document defines the core business processes of the FOODIE platform based on user requirements. Eleven fundamental processes are described, including vegetation index calculation, land cover classification, machinery tracking, weather data aggregation, and fertilization planning. The processes will be implemented through open and proprietary interfaces and organized into thematic working groups. Further iterations will expand the set of defined processes.
This document describes the Marketplace application as a component of a bigger ecosystem called “FOODIE Cloud Platform”. The document explains architectural as well as implementation issues.
Data fusion tools combine data from different heterogeneous sources together to provide more efficient representation
of data.
Data fusion tools aim to associate textual and/or spatial data in different structures from different sources in terms of
geometry. Additionally process of data from multiple image sources is achieved by Data fusion services.
D3.3.2 sematic tagging and open data publication toolsFOODIE_Project
Semantic tagging and open data publication tools is a system of services which can be used to extract additional
knowledge from unstructured data such as plain text or text files in different formats, transform (semi-) structured
data into semantic format, and publish the generated data according the Linked Data principles.
This document describes the Training materials, which is currently available on FOODIE Moodle platform.
On the base of Training plan, initial scenarios focused on methods used in sustainable agriculture were
prepared. Special lectures were established in order to stimulate demands of stakeholders for new tools
and methods of using on-line open data for agriculture production, context and sharing data in on line
repositories. There were prepared first set of scenarios, focused on good agriculture practices and also
first material focused on data fusion. The Training Material for FOODIE has following parts:
Introduction – a general four-step process been modified for each pilot. These four steps include:
building the initial scenarios, vision building workshops, testing of initial scenarios, and user requirements collection workshops.
Chapters for training - the first material for methods used in sustainable agriculture was already
prepared by project partners. There are two categories: Methods of Farm Management and Software Components and Tools of Farm Management.
Conclusion defining next steps - initial Training materials have been created. Training related to tools will be organized in later stage. Vision building workshops will be organized during Months 13 – 14.
D5.1.1 Pilots description and requirements elicitation reportFOODIE_Project
In the FOODIE project, it is of crucial importance to have well defined, and detailed, functional and technical specifications of the FOODIE service platform hub. In view of this objective, the task 5.1 Pilots
Specification and Stakeholders Requirements Elicitation, within the Work Package 5, has an important role in serving as primary input for technical work packages. By taking feedback from users as soon as possible and delivering software incrementally, FOODIE will greatly improve results and will be focused on user needs and not on technical needs.
Pilots in three different countries have been established: Czech Republic, Germany and Spain. These pilots
and their stakeholders will be the basis for collecting the requirements to design the FOODIE platform and
provide the services that will fulfil their needs. In addition to the stakeholders involved in the pilots, other end-users partners will provide requirements and participate in the testing of the platform
This document describes prototypes for advanced rich interfaces created as part of the FOODIE project. It introduces a dashboard that allows configurable visualization of data through widgets. Generic widgets have been created for visualizing agricultural treatment, plan, plot and crop data. The dashboard and widgets are built using ExtJS and allow new custom widgets to be integrated. Widgets are configured through input selection and widget-specific settings.
This document introduces the first prototype of data fusion tools being developed as part of the FOODIE project. The tools combine data from different sources to provide a more efficient representation. They associate textual and spatial data from various structures and sources. A Netcad WPS implementation provides data fusion processes that analyze multiple image sources via workflows. The services are accessible online and development is ongoing to include additional fusion capabilities.
D3.3.1 Sematic tagging and open data publication toolsFOODIE_Project
This document introduces a semantic annotation service that enables the automatic tagging of unstructured data with concepts from an agriculture vocabulary. It describes two key components - a semantic repository that stores the tagged data and an annotation service that implements a REST API. The first prototype uses AgroTagger to identify terms in documents and stores the semantic metadata and files in the Virtuoso repository. It also includes a demo client application to test the annotation functionality.
This document is the “State of the art analysis report” deliverable and its main objective is to collect
information about standards, existing technologies, architectures and systems developed in other projects,
as well as initiatives and policies and data sources repositories (specially at local, national and European
level) which are relevant for defining and implementing the different aspects of the FOODIE platform hub
for agricultural services
The Foodie platform hub aims at enabling in an easy manner the (re)use of open data in the agricultural domain in order to create new applications that provide added value to different stakeholder groups.
Towards the development of smart agriculture infrastructure in Wielkopolska r...FOODIE_Project
The Poznan Supercomputing and Networking Center (PSNC) was established in 1993 and is affiliated with the Institute of Bioorganic Chemistry of the Polish Academy of Sciences. PSNC operates Poland's largest high performance computing infrastructure and leads multiple research and development groups across four divisions. PSNC has over 100 staff working on international projects in areas like digital libraries, semantic technologies, research data services, and more. PSNC is working to build a smart agriculture infrastructure in the Wielkopolska region of Poland by identifying stakeholders, establishing collaborations, setting up base infrastructure like cloud and IoT platforms, deploying applications and datasets, and conducting user trials and dissemination activities.
Open Data as an Opportunity for the Commercial SectorFOODIE_Project
A new project Workshop organized by WIRELESSINFO! The Czech version of FOODIE platform will be introduced to stakeholders and participants from dififferent areas of interest.
Further open workshops will be organized in January and February!
Stay tuned to learn more!
Open Data for Local and Regional DevelopmentFOODIE_Project
A new project Workshop organized by WIRELESSINFO! The Czech version of FOODIE platform will be introduced to stakeholders and participants from dififferent areas of interest.
The document discusses the FOODIE project which aims to build an open and interoperable agricultural platform on the cloud to manage spatial and non-spatial agricultural data from different sources. The platform will integrate existing European open datasets, publish and link external agricultural data sources, and provide applications and services to support decision making for stakeholders. It will be demonstrated through three pilots in Spain, Czech Republic, and Germany to test precision viticulture, open data for strategic planning, and integrating logistics and farm management.
The document discusses the FOODIE project which aims to build an open and interoperable agricultural platform on the cloud to manage spatial and non-spatial agricultural data from different sources. The platform will integrate existing European open datasets, publish and link external agricultural data sources, and provide applications and services to support decision making for stakeholders. It will be demonstrated through three pilots in Spain, Czech Republic, and Germany to test precision viticulture, open data for strategic planning, and integrating logistics and farm management.
Project Management: The Role of Project Dashboards.pdfKarya Keeper
Project management is a crucial aspect of any organization, ensuring that projects are completed efficiently and effectively. One of the key tools used in project management is the project dashboard, which provides a comprehensive view of project progress and performance. In this article, we will explore the role of project dashboards in project management, highlighting their key features and benefits.
14 th Edition of International conference on computer visionShulagnaSarkar2
About the event
14th Edition of International conference on computer vision
Computer conferences organized by ScienceFather group. ScienceFather takes the privilege to invite speakers participants students delegates and exhibitors from across the globe to its International Conference on computer conferences to be held in the Various Beautiful cites of the world. computer conferences are a discussion of common Inventions-related issues and additionally trade information share proof thoughts and insight into advanced developments in the science inventions service system. New technology may create many materials and devices with a vast range of applications such as in Science medicine electronics biomaterials energy production and consumer products.
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The Key to Digital Success_ A Comprehensive Guide to Continuous Testing Integ...kalichargn70th171
In today's business landscape, digital integration is ubiquitous, demanding swift innovation as a necessity rather than a luxury. In a fiercely competitive market with heightened customer expectations, the timely launch of flawless digital products is crucial for both acquisition and retention—any delay risks ceding market share to competitors.
A Comprehensive Guide on Implementing Real-World Mobile Testing Strategies fo...kalichargn70th171
In today's fiercely competitive mobile app market, the role of the QA team is pivotal for continuous improvement and sustained success. Effective testing strategies are essential to navigate the challenges confidently and precisely. Ensuring the perfection of mobile apps before they reach end-users requires thoughtful decisions in the testing plan.
DECODING JAVA THREAD DUMPS: MASTER THE ART OF ANALYSISTier1 app
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INTRODUCTION TO AI CLASSICAL THEORY TARGETED EXAMPLESanfaltahir1010
Image: Include an image that represents the concept of precision, such as a AI helix or a futuristic healthcare
setting.
Objective: Provide a foundational understanding of precision medicine and its departure from traditional
approaches
Role of theory: Discuss how genomics, the study of an organism's complete set of AI ,
plays a crucial role in precision medicine.
Customizing treatment plans: Highlight how genetic information is used to customize
treatment plans based on an individual's genetic makeup.
Examples: Provide real-world examples of successful application of AI such as genetic
therapies or targeted treatments.
Importance of molecular diagnostics: Explain the role of molecular diagnostics in identifying
molecular and genetic markers associated with diseases.
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Content:
• Ethical issues: Examine ethical concerns related to precision medicine, such as privacy, consent, and
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• Regulations and guidelines: Present examples of ethical guidelines and regulations in place to safeguard
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• Visuals: Include images or icons representing ethical considerations.
Content:
• Ethical issues: Examine ethical concerns related to precision medicine, such as privacy, consent, and
potential misuse of genetic information.
• Regulations and guidelines: Present examples of ethical guidelines and regulations in place to safeguard
patient rights.
• Visuals: Include images or icons representing ethical considerations.
Content:
• Ethical issues: Examine ethical concerns related to precision medicine, such as privacy, consent, and
potential misuse of genetic information.
• Regulations and guidelines: Present examples of ethical guidelines and regulations in place to safeguard
patient rights.
• Visuals: Include images or icons representing ethical considerations.
Real-world case study: Present a detailed case study showcasing the success of precision
medicine in a specific medical scenario.
Patient's journey: Discuss the patient's journey, treatment plan, and outcomes.
Impact: Emphasize the transformative effect of precision medicine on the individual's
health.
Objective: Ground the presentation in a real-world example, highlighting the practical
application and success of precision medicine.
Data challenges: Address the challenges associated with managing large sets of patient data in precision
medicine.
Technological solutions: Discuss technological innovations and solutions for handling and analyzing vast
datasets.
Visuals: Include graphics representing data management challenges and technological solutions.
Objective: Acknowledge the data-related challenges in precision medicine and highlight innovative solutions.
Data challenges: Address the challenges associated with managing large sets of patient data in precision
medicine.
Technological solutions: Discuss technological innovations and solutions
Odoo releases a new update every year. The latest version, Odoo 17, came out in October 2023. It brought many improvements to the user interface and user experience, along with new features in modules like accounting, marketing, manufacturing, websites, and more.
The Odoo 17 update has been a hot topic among startups, mid-sized businesses, large enterprises, and Odoo developers aiming to grow their businesses. Since it is now already the first quarter of 2024, you must have a clear idea of what Odoo 17 entails and what it can offer your business if you are still not aware of it.
This blog covers the features and functionalities. Explore the entire blog and get in touch with expert Odoo ERP consultants to leverage Odoo 17 and its features for your business too.
An Overview of Odoo ERP
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When you compare Odoo Community and Enterprise, the Enterprise edition offers exclusive features like mobile app access, Odoo Studio customisation, Odoo hosting, and unlimited functional support.
Today, Odoo is a well-known name used by companies of all sizes across various industries, including manufacturing, retail, accounting, marketing, healthcare, IT consulting, and R&D.
The latest version, Odoo 17, has been available since October 2023. Key highlights of this update include:
Enhanced user experience with improvements to the command bar, faster backend page loading, and multiple dashboard views.
Instant report generation, credit limit alerts for sales and invoices, separate OCR settings for invoice creation, and an auto-complete feature for forms in the accounting module.
Improved image handling and global attribute changes for mailing lists in email marketing.
A default auto-signature option and a refuse-to-sign option in HR modules.
Options to divide and merge manufacturing orders, track the status of manufacturing orders, and more in the MRP module.
Dark mode in Odoo 17.
Now that the Odoo 17 announcement is official, let’s look at what’s new in Odoo 17!
What is Odoo ERP 17?
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Odoo 17, released at the Odoo Experience 2023, brought notable improvements to the user interface and added new functionalities with enhancements in performance, accessibility, data analysis, and management, further expanding its reach in the market.
WWDC 2024 Keynote Review: For CocoaCoders AustinPatrick Weigel
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On-device app controlling AI.
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Safelyio automates the delivery and documentation of safety talks, ensuring consistency and accessibility. The microlearning approach breaks down complex safety protocols into manageable, bite-sized pieces, making it easier for employees to absorb and retain information.
This method minimizes disruptions to work schedules, eliminates the hassle of paperwork, and ensures that all safety communications are tracked and recorded accurately. Ultimately, using a digital platform like Safelyio enhances engagement, compliance, and overall safety performance on site. https://safelyio.com/
Top Benefits of Using Salesforce Healthcare CRM for Patient Management.pdfVALiNTRY360
Salesforce Healthcare CRM, implemented by VALiNTRY360, revolutionizes patient management by enhancing patient engagement, streamlining administrative processes, and improving care coordination. Its advanced analytics, robust security, and seamless integration with telehealth services ensure that healthcare providers can deliver personalized, efficient, and secure patient care. By automating routine tasks and providing actionable insights, Salesforce Healthcare CRM enables healthcare providers to focus on delivering high-quality care, leading to better patient outcomes and higher satisfaction. VALiNTRY360's expertise ensures a tailored solution that meets the unique needs of any healthcare practice, from small clinics to large hospital systems.
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Baha Majid WCA4Z IBM Z Customer Council Boston June 2024.pdfBaha Majid
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FOODIE newsletters issue #8
1. contact@foodie-project.eu
Issue 8 (October 2016)
FOODIE Newsletter
FOODIE Team'scorner
Nice to see you again!
FOODIE project has just entered in the last 6 months of its lifetime. This issue intends to keep you updated about the
progress in pilot sites and technical activities. Scroll down and find out important dates to be saved in your agenda! Do
not miss the last occasions to meet project partners!
PILOT EXECUTION PROGRESS
Spanish Pilot
After ending the Proof-of-Concept and the Test stages, the Spanish Pilot is facing the Production stage which includes
significant improvements on the FOODIE dashboard. Now it is highly customizable for each agricultural exploitation and
it will count with a new bunch of widgets, pieces of advance visualization software for planning agricultural
interventions and for supporting the decision making processes. Both CTIC and SERESCO have been currently working
on the development of the new widgets and SERESCO has been also implementing the new services required by the
new features of the dashboard.
The most important new features incorporated are:
Registration and Validation of Management Zones.
A Visual Interface for Yield Forecasting and
Recommendation of Dates for Harvesting.
Registration of Treatments and Treatment Plans.
Regarding the on-field
activities in the TERRAS
GAUDA vineyards, the
harvesting has just
finished and, although
the yield is not very high,
there are excellent
prospects in quality. The workers
gather with extreme care the grapes, in order not to damage the product.
We will soon have data about the yield production, which will be used for
validating the grape yield forecasting model based on our machine learning
algorithms.
It will be very interesting for tuning the model and improve next predictions.
2. Czech pilot
Year 2016 is the last vegetation period of the Czech pilot farm in Trsice covered by FOODIE project. For this reason, the
validation of satellite periodic monitoring and telematics of farm machinery has been started. A main effort of
WIRELESSINFO team in Scenario C is focused on the evaluation of Yield potential zones within the field crops, which
define the field variability from time-series satellite data. The evaluation is based on the comparison with the crop
growth status identified during the vegetation period by Sentinel 2A and Landsat 8 imagery and available yield data
recorded by agronomist. The results of evaluation will be presented in the final period of the project.
Yield potential zones delineated from time-series Landsat data Actual field variability defined by Sentinel 2A NDVI image valid for
25th June 2016
In Telematics of Farm Machinery scenario Wirelessinfo continued with integration of Management Zones (Yield
Potential Zones) and data from machinery monitoring.
As more farms have been added, which consequently resulted in increasing amount of data, it is necessary to focus on
optimizing performance.
German Pilot
35 machine cooperatives worked with WinGIS and more than 100 with mobGIS firstly on laptops and then using tablet-
PCs on machines like harvesters and pickup. After the upgrade they also received training for two new tools that PROGIS
will offer after the project end, in addition to the existing machine cooperatives. Moreover, the model for Precision
Farming has been improved by:
• Upgrading WinGIS as Windows 10 compatible version.
• Launching Mobile GIS app on WinPhone (Windows mobile).
• Open Transport Map (ATM) on OSM (Open Street Map) for a rural road network.
• Sentinell II NDVI + SDK (Software Development Kit) for software-houses.
• Developing a pattern recognition tool “IDIMA” (= IDentification of IMAges) ready by January 2017.
• Gathering first test-results with Phablets (Tablets+smart phones+Windows 10) that will be available in the next
weeks.
Let’s focus on Open Transport Map, Sentinel II and NDVI and IDIMA – IDentification of IMAges description.
Open Transport Map: the basic module has been done during the FOODIE project by WRLS as an upgrade to OSM, linked
to WinGIS and enabled the possibility to setup a rural road map with precise attribute definition. It has to be maintained
by an organization – e.g. Machine Cooperatives - that on a bottom up level also maintains the datasets, e.g. heavy rain
and not to use today, or work on this road until a special date etc. Besides agriculture the same tool will be tested for
further use in forestry.
Sentinel II and NDVI: Further Sentinel 2 tool including NDVI index (worldwide use) is ready for use during November
2016 – February 2017 at all cooperatives interested to take part. They will use WinGIS, BING maps (JRC-certified) and
Sentinel tools including NDVI for a period also after the end of FOODIE project. During the project lifetime PROGIS will
get feedback about usability of the tools
3. NDVI map of the south of VILLACH/A, July 2016 Orthoimage 25cm + LPIS polygons (either via Ministry or
digitized or GPS-Import)
NDVI Index from 0,4 – 1,0 in one field
New all 5-10 days, mail info if new
IDIMA – IDentification of IMAges: Cooperatives will also get end of the year an IDIMA WinGIS enhancement for pattern
recognition. The three modules are: (1) «RASTER» - carries out the processing and preparation of remote sensing data
for calculations and creation of the classifier; (2) «IDIMA» – creates automatic structure (classification) of digital image
and raster thematic layers of vegetation, with the direct participation of the Adjuster; (3) «VECTOR» - makes the
vectorization of thematic layers and exporting to shape files.
Out of three sensors – R, G, B – (1) a new image is created with better “resolution” for interpretation. Then (2) the
different structures are searched automatically and (3) put into different WinGIS layers and automatically digitized.
Left: the original orthoimages (25cm), digitized with “failures” in hours
Right: an automatically digitized image with precise m² meadow, bushes, stones, rocks, and roads etc., done in 2 seconds.
4. FOODIE OUTREACH
ISPRS 2016 Conference
12 - 19 July 2016, Prague, Czech Republic
WIRELESSINFO presented the yield potential zones
through a paper entitled “Monitoring of in-field
variability for site specific crop management through
open geospatial information” available on the FOODIE
repository “Download”. WRLS also participated in the
poster session.
MEDHackathon
13 - 15 July 2016, Patras, Greece
This hack event was focused on developing innovative
ideas on top of Open Data and technologies made
available by several projects. This event was also
supported by the CAPSELLA project. Did you miss it?
Here is the session on video. Watch & enjoy!
FOODIE at the 13th ICPA conference
31 July 2016 - 03 August 2016, St. Louis, Missouri, USA
Tomas Reznik from WIRELESSINFO introduced two oral
presentations entitled “Demonstration of FOODIE data
model for precision agriculture” and “Quo Vadis
Precision Farming?” Here the available papers:
https://ispag.org/proceedings/?action=author_abstract
s
FOODIE at the INSPIRE Conference
26 - 30 September 2016, Barcelona, Spain
WIRELESSINFO introduced the presentation VGI profile
for Precision Farming: unified data model and
applications. Volunteered Geographic Information
(VGI) is commonly defined as the harnessing of tools to
create, assemble, and disseminate geo-graphic data
provided voluntarily by individuals.
FOODIE participation in “VGI & Citizens’ Observatories Hackathon” part of the INSPIRE 2016 conference
26 - 27 September 2016, Barcelona, Spain
The VGI and Citizens Observatories INSPIRE Hack was the first hackathon combined with a INSPIRE
conference with the aim to create the space, where those with the interest in the potential of VGI and
Citizens Observatories could meet, present their tools and components from existing projects and discuss
and explore how results, ideas and knowledge could be combined in possible ways for new projects and
for new project ideas. Here the basic details!
http://inspire.ec.europa.eu/events/conferences/inspire_2016/schedule/submissions/365.html
5. FOODIE at the ISAF 2016
03 - 06 October 2016, Pilsen, Czech Republic
FOODIE representatives demonstrated Farm Telemetry
as a system to support farmers in the management
aspects of farming activities as well as the FOODIE Data
model.
Meeting at the Joint Research Centre (JRC) of the EC,
Ispra Italy
25-26 October 2016, Ispra, Italy
WIRELESSINFO demonstrated INSPIRE achievements
from FOODIE project at the European Commission, DG
Joint Research Centre trough the presentation entitled
“INSPIRE, COPERNICUS AND GEOSS in Precision
Farming: Economical and Ecological Synergies”. All the
details are available at the following link: https://ies-
svn.jrc.ec.europa.eu/projects/mig-inspire/wiki/MIG-
T_meeting_34
FOODIE at the 18th
edition of the International Agricultural Exhibition AGRO SHOW
PSNC disseminated FOODIE project results in the 18th
edition of the International Agricultural Exhibition AGRO SHOW
organized by the Polish Chamber of Commerce for Machinery and Equipment. During this event PSNC imparted a
seminar jointly with the Industrial Institute of Agricultural Engineering (PIMR) and the Wielkopolska Agricultural
Advisory Center (WODR) about savings and improvements in the farm using modern solutions in agriculture, where
results of FOODIE and Agro-IT projects where presented. In particular, the seminar talks included presentations about:
(i) effective management of the farm through AgroIT platform tools, (ii) pest management control with the decision
support system (DSS) of FOODIE Polish pilot, (iii) machinery tracking and monitoring with the farm telemetry
application of FOODIE Czech pilot. Additionally, PSNC had a stand in the exhibition area, where information about
FOODIE project, information about the DSS (co-developed by PSNC and WODR) and the FOODIE marketplace
(developed by PSNC) were provided.
AGRO SHOW for years is seen as the venue for presenting the latest and most modern machines and equipment. It is
also a comprehensive exhibition of the current offer regarding manufacture of fertilizers, seeds, pesticides, financial
firms and other industries related to agriculture. This year, AGRO SHOW statistics include: nearly 830 companies’
exhibitions, including 106 foreign exhibitors from 20 countries (Lithuania, Spain, Great Britain, Turkey, India, and
China); more than 140,000 visitors during the 4 days exhibition; 148 thousand m2 of exhibition space.
Meet members of the FOODIE consortium at the following events:
ISESS 2017, the International
Symposium on Environmental Software
Systems, 10 – 12 May 2017, Zadar,
Croatia
ICC 2017,the International Cartographic
Conference, 2 – 7 July 2017,
Washington, USA
6. PUBLIC DELIVERABLES
Check the FOODIE repository out which gathers all the project public deliverables. To learn more, please click the
following link: http://www.foodie-project.eu/downloads.php?idc=5
Join FOODIE on Twitter, Facebook, slideshare and LinkedIn and share your comments and opinions with us!
Learn about the project’s goal, its background and its strategy and download the FOODIE Flyer in:
English Spanish German Italian Polish Czech Turkish Latvian Portuguese French Greek
Please disseminate this newsletter amongst your potentially interested colleagues and networks.
This project is partially funded under the ICT Policy Support Programme (ICT PSP) as part of the Competitiveness and Innovation Framework
Programme by the European Commission under grant agreement no. 621074
If you do not want to receive this newsletter from FOODIE project in the future, please unsubscribe writing to contact@foodie-project.eu
7. Miguel Ángel Esbrí (Συντονιστής του έργου)
Atos Spain, S.A.
C/ Albarracín, 25 - 28037 Madrid (Spain)
Email: miguel.esbri@atos.net
contact@foodie-project.eu
«Το περιεχόμενο του φυλλαδίου αντανακλά
μόνο τις απόψεις του συγγραφέα
και η Ευρωπαϊκή Ένωση δεν είναι υπεύθυνη
για οποιαδήποτε χρήση
της πληροφορίας που περιέχεται σε αυτήν. »
www.foodie-project.eu
www.man.poznan.pl
www.tdf.lv
www.consorziobimpiave.bl.itwww.enco-consulting.it
www.mjm.cz www.progis.com
www.netcad.com
www.wirelessinfo.cz
www.atos.net
www.terrasgauda.com
ΤΟ ΚΊΝΗΤΡΟ
Ο τομέας της γεωργίας αποτελεί στρατηγικά μοναδικό
τομέα που θα πρέπει ιδανικά να αποτελείται από ένα
δίκτυο αλληλοεπιδρώντων οργανισμών. Κατά την εκτέλεση
των γεωργικών δραστηριοτήτων, οι ενδιαφερόμενοι πρέπει
να διαχειρίζονται πολλές διαφορετικές και ετερογενείς
πηγές πληροφοριών, όπως:
• ορισμός πολιτικών,
• αποτίμηση των οικολογικών επιδόσεων,
• ανάπτυξη της γεωργίας, καλλιεργειών, ορισμός του
χρόνου και τιμολόγηση,
• ανίχνευση μάστιγας
Στο πλαίσιο αυτό, το μέλλον των συστήματα διαχείρισης
γνώσης της γεωργίας θα πρέπει όχι μόνο να υποστηρίζει
την άμεση κερδοφορία της ή την προστασία του
περιβάλλοντος, αλλά πρέπει επίσης νασυνδυάσει και να
συντονίσει τις προσπάθειες και τις συμπεριφορές της
βιομηχανίας γεωργικών τροφίμων, τους καταναλωτές,
δημόσιων διοικήσεων και των ευρύτερων ενδιαφερόμενων
κοινοτήτων.
Το έργο αυτό συγχρηματοδοτείται από το πλαίσιο του προγράμματος
στήριξης της πολιτικής για τις ΤΠΕ (ICT PSP), ως μέρος του
προγράμματος πλαισίου ανταγωνιστικότητας και καινοτομίας από
την Ευρωπαϊκή Επιτροπή στο πλαίσιο της συμφωνίας επιχορήγησης
Νο. 621074
8. ΣΤΟΧΟΙ ΚΑΙΝΟΤΟΜΕΣ ΠΤΥΧΕΣ ΠΕΡΙΓΡΑΦΗ ΤΩΝ ΠΙΛΟΤΙΚΩΝ
Το έργο FOODIE στοχεύει:
• στην δημιουργία μιας ανοικτής και διαλειτουργικής
cloud πλατφόρμας, εξιδεικευμένη στη γεωργία για την
διαχείριση των χωρικών και μη χωρικών
δεδομένων που προέρχονται από ετερογενείς πηγές
• ενσωμάτωση των υφιστάμενων ανοιχτών
δεδομένων που σχετίζονται με τη γεωργία, πολύτιμη
πληροφορία για την Ευρώπη
• σύνδεση των δημοσιευμένων δεδομένων
με δεδομένα από εξωτερικές πηγές γεωργίας, μέσω
ηλεκτρονικών εφαρμογών (API)
• παροχή συγκεκριμένων και υψηλής αξίας
εφαρμογών και υπηρεσιών για την υποστήριξη και τον
προγραμματισμό των διαδικασιών και των λήψεων
αποφάσεων, των εμπλεκόμενων ομάδων
• παροχή μια ηλεκτρονικής αγοράς εταιρείες
μπορούν να ανακαλύψουν και να ανταλλάσσουν δεδομένα,
και να δημοσιεύουν τις δικές τους γεωργικές αίτησης με
βάση τα στοιχεία, τις υπηρεσίες και τις εφαρμογές που
παρέχονται από τους το FOODIE.
Το έργο FOODIE παρουσιάζει μια σειρά από καινοτόμες
πτυχές:
• Ανάπτυξη των βασικών και τυποποιημένων υπηρεσιών
σε Cloud εφαρμογές, μειώνοντας όχι μόνο το κόστους
ανάπτυξης αλλά και το κόστος παραγωγής και
συντήρησης
• Εύκολη δυνατότητα εντοπισμού των υπηρεσιών
• Μοντέλο “Pay as you go”
• Μηχανισμοί ανταμοιβής για την ανταλλαγή δεδομένων
• Οικονομικό όφελος για τον τελικό χρήστη
• Πολυ-συσκευή / πολλαπλών χρήσεων.
Το σενάριο του FOODIE και οι στόχοι θα υλοποιηθούν μέσα
από την πλατφόρμα υπηρεσιών, η οποία θα εφαρμοστεί σε
τρεις διαφορετικές πιλοτικές εφαρμογές στην Ευρώπη, τα
οποία θα έχουν ένα σύνολο από κοινές και ειδικές απαιτήσεις:
• Πιλοτικό 1: Ακρίβεια Αμπελουργίας (Ισπανία)
επικεντρώνονται στην κατάλληλη διαχείριση και εγγενή
μεταβλητότητα των καλλιεργειών,
• Πιλοτικό 2: Στρατηγικές και Τακτικές Σχεδιασμού
ανοιχτών δεδομένων (Τσεχία) θα επικεντρωθεί στη βελτίωση
της μελλοντικής διαχείρισης των γεωργικών επιχειρήσεων
(αγροκτήματα) εισάγοντας νέα εργαλεία και μεθόδους
διαχείρισης
• Πιλοτικό 3: Η τεχνολογία επιτρέπει την ενσωμάτωση
των logistics μέσω υπηρεσιών και των γεωργικών
εκμεταλλεύσεων διαχείρισης, συμπεριλαμβανομένης της
ιχνηλασιμότητας(Γερμανία).Τοπιλοτικόαυτόθαεπικεντρωθεί
στην ενσωμάτωση των γερμανικών συνεταιρισμών
μηχανήματων στα υπάρχουσα συστήματα διαχείρισης των
γεωργικών εκμεταλλεύσεων και εφοδιασμού, καθώς και στην
ανάπτυξη και διεύρυνση της υφιστάμενης συνεργασίας και
επιχειρηματικών μοντέλων με διαφορετική αλυσίδα εταίρων.