BigDataEurope - Food &amp; Agriculture Pilot (SC2) in Brief

Large ICT-projects in Agri-Food in Europe

Open Data in the agrifood sector

Stoitsis Giannis

IoF2020 project overview for BDE/eRosa/GODAN

The digitization of society makes data more important. This is enhanced by the Internet of Things (IoT) in which a variety of devices, sensors and the like are connected via the Internet together and deliver real-time data. Many companies see data as the way to generate new business, also in the agri-food sector. However, the added value is only created when multiple data sources are combined, aggregated and analyzed. The sharing of data between companies in the chain is therefore a critical success factor. Although several initiatives to share data have been initiated, this development seems to be stagnating. Now the agribusinesses are mainly developing their own proprietary platforms, resulting in a maze of platforms which makes it technically difficult to exchange data between different systems and devices. This causes rather more administrative burdens than they reduce. Exchange of data between platforms and applications is currently inhibited because of discussions about ownership of data, privacy, fear of concentration of power in the chain and the lack of clear business models where added value of data sharing is distributed among the various stakeholders. Now it seems that the benefit to the primary producers - the farmers - is minimal and the agri-business seems to benefit most. This creates resistance to sharing data that inhibits innovations that ultimately serve the interests of the farmer and the competitiveness of the whole agri-food sector. DATA-FAIR breaks this deadlock and will accelerate innovation by hosting several large-scale trials with companies and Wageningen Research in which applications are developed where data between various platforms is shared and value is created. In these trials, the farmer plays a central role as a main supplier and manager of data. He or she determines who may use which data and under what conditions. Digital permissions will play an important role enabled by a central register (e.g. AgriTrust). Also, special attention is paid to the development of attractive and transparent business models and good organizational embedding (governance) so that the results will continue to exist after the project. DATA-FAIR doesn’t create a new platform itself, but uses existing building blocks and will help improving these if necessary. Here one can think of open application interfaces (APIs) and standards to link platforms and databases. DATA-FAIR builds on experiences with existing data hubs such as EDI-Circle and AgriPlace.

DATA-FAIR - value creation by data sharing in agri-food business

Digital innovation for sustainable food systems

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.

APPLICATION OF BIG DATA IN ENHANCING EFFECTIVE DECISION MAKING IN AGRICULTURA...

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

IoT and Big Data in Agri-Food Business

Bridging the skills gap: How industrial/academic partnerships can benefit your IoT business. Several of the large IoT players have recently partnered with universities and colleges worldwide to ensure that the next generation of recruits have the high level technical skills and understanding of the IoT ecosystem need to add value to their businesses. How should you take advantage of such collaboration opportunities, and how can they translate into increasing innovation and getting that competitive edge within your organisation? The EU-funded IoT Large Scale Pilot 'The Internet of Food and Farm 2020 (IoF2020)' will be used as a showcase. New opportunities for collaboration will be mentioned.

Bridging the skills gap IoT Tech Expo Berlin 1 Jun 2017

New technologies such as the Internet of Things and Cloud Computing are expected to leverage the current trend of Smart Farming, introducing more sensors, robots and artificial intelligence, encompassed by the phenomenon of Big Data. This presentation will give a quick insight into the state-of-the-art of Big Data applications in Smart Farming and identify the related challenges that have to be addressed. It shows that the scope of Big Data applications in Smart Farming goes beyond the farm; it is influencing the entire food supply chain. Big data are being used to provide predictive insights in farming operations, drive real-time operational decisions, and redesign business processes for game-changing business models. It is expected that Big Data will cause major shifts in roles and power relations among different players in current food supply chain networks. The landscape of stakeholders exhibits an interesting game between powerful tech companies, venture capitalists and often small startups and new entrants. At the same time there are several public institutions that publish open data, under the condition that the privacy of persons must be guaranteed. The future of Smart Farming may unravel in a continuum of two extreme scenarios: 1) closed, proprietary systems or 2) open, collaborative systems. The development of data and application infrastructures (platforms and standards) and their institutional embedment will play a crucial role in the battle between these scenarios. A major challenge is therefore to cope with governance issues and define suitable business models for data sharing in different supply chain scenarios.

Towards data-driven agri-food business

Big Data is becoming a new asset in the agri-food sector including enterprise data from operational systems, sensor data, farm equipment data, etc. Recently, Big Data applications are being implemented, aiming at improving farm and chain performance. Many companies are refraining from sharing data because of the fear of governance issues such as data security, privacy and liability. Moreover, they are often in a deadlock or afraid to take the first step even though they expect to develop new business with data. To accelerate the development of Big Data applications, this paper analyses governance issues and introduces a set of guidelines for governance of data sharing in agri-food networks. A framework for analysis was derived from literature and used to identify lessons learned from recent projects or initiatives. From these results, a set of draft guidelines was developed. The framework and guidelines were evaluated in a workshop. The framework consists of factors that are related to governance on data sharing in networks. Internal factors are: efficiency, effectiveness, inclusiveness, legitimacy & accountability, credibility and transparency. External factors are: political, economic, social, technological, legal and environmental factors. For each of these factors, guidelines are provided in terms of: issues to be addressed, best practices and lessons learned from other projects and initiatives. It is concluded that the framework is complete in covering all relevant issues on governance in data sharing but the guidelines must be considered as a first set, which can be further improved and extended in the future. A wiki-type-of-website could help to upscale the guidelines at a global level. The guidelines could also be further refined accounting for different maturity levels of agri-food networks. The guidelines in this paper are considered to be a valuable step into the direction of solving governance issues in data sharing, which is expected to accelerate Big Data applications in the agri-food domain.

Governance of Data Sharing in Agri-Food - towards common guidelines

Beyond typical research experimentation scenarios, there is a need for companies that wish to enhance their online data and analytics solutions to incorporate ways in which they can select, experiment, benchmark, parameterize and choose the version of a machine learning algorithm that seems to be most appropriate for their specific application context. BigDataGrapes was present at ISESS 2020 - 13th International Symposium on Environmental Software Systems held in Wageningen, NL. showcasing the capabilities of the project's big data experimentation platform

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Today the use of data is having a very revolutionized effect with cultivatable land in decline demand for food increasing from developing countries farmers. Farmers who use data are capable of turning ordinary harvests into bumper crops and profits behind.This is the precision agriculture hub connecting the world’s biggest agricultural businesses farmers and suppliers using integrated software solutions.

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Big Data Grapes, as part of the European Big Data Value community was on the 16th of May in Sofia, Bulgaria, in an event organised by the Big Data Value PPP, with the twofold objective of strengthening collaborations among community members and increasing the visibility and awareness about the PPP in East Europe in general and Bulgaria in particular. Ontotext, our Bulgarian project partner presented the potential of Big Data Streams in grape and wine production. #bdvmeetupsofia18

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The Rural Household Multiple Indicator Survey – RHoMIS A standardised and fle...

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Thomas Bartzanas talks about the importance of open data in the agri-food sector | OSFair2017 Workshop Workshop title: The roadmap to better food: using ICT an open data to overcome barriers in the agriculture value chain Workshop overview: The session will discuss infrastructures for open science in the agri-food domain. It will also discuss the issue and the importance of open data for agricultural and agri-food communities and science. Presentation abstract: Half of the European Union's land is farmed. This fact alone highlights the importance of farming for the EU's economy, employment, energy use and environment. The globalization of markets has increased the competitiveness whereas the consumers’ needs for healthy, safe and locally produced products highlighting the need for high quality production. According to Food Agriculture Organization (FAO) in the next 20 years world food production must increase by 50%, while 80% of that increase must come from intensification. However this vital and crucial sector for the European agriculture economy is a sector under pressure due to several challenges (world population, water shortage, climate change, use of pesticides and fertilizers, energy use, food safety). Agricultural production systems, and the policies and institutions that underpin global food security, are increasingly inadequate. Modern IT and data analysis tools are powerful and can really help meet the challenge of feeding a growing population in more resource-efficient and sustainable ways. Smart farming presents a viable solution to such problems. However, as smart machines, automation systems, robots and sensors crop up on farms and farm data grow in quantity and scope, farming processes will become increasingly data driven and data-enabled. Currently there are a lot of stakeholders involved in the data collection and management in agriculture (companies, organizations, public authorities, farmers). However the accessible on all these data is still questionable. In this context open data has become and should more widely used within the agricultural data environment. The context under which open data should be used and analyzed in agro-food sector is presented together with some so far success stories. When: DAY 1 - PARALLEL SESSION 1

OSFair2017 Workshop | The importance of open data in the Agro-Food sector

Open Science Fair

Was ist angesagt? (19)

Big data and smart farming

Large ICT-projects in Agri-Food in Europe

Open Data in the agrifood sector

IoF2020 project overview for BDE/eRosa/GODAN

DATA-FAIR - value creation by data sharing in agri-food business

Digital innovation for sustainable food systems

APPLICATION OF BIG DATA IN ENHANCING EFFECTIVE DECISION MAKING IN AGRICULTURA...

IoT and Big Data in Agri-Food Business

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Big Data For Rice Systems in Latin America

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OSFair2017 Workshop | The importance of open data in the Agro-Food sector

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Presentation for a group of employees of Centric, a large software consultancy company. It provides an illustration of how IoT is currently being developed in farming, agri-logistics and food consumption. It also addresses the technical and organizational challenges that have to be overcome to make IoT application in agri-food a success. Open platforms and software development and above all appropriate business models are key issues that have to be addressed. The new EU-project "Internet of Food and Farm 2020" will address these issues by fostering a collaborative IoT ecosystem to upscale the use of IoT in agri-food.

IoT in agri-food

Smart Farming involves many sensing and monitoring devices, intelligent software for analysis & planning and mechatronics/robots closing the cyber-physical farm management cycle. Big Data on prices, markets, consumer behavior, etc. increasingly affect the whole agribusiness providing predictive insights in farming operations, drive real-time operational decisions and redesign business processes for game-changing business models. Major shifts in roles and power relations among different players in food supply chain networks can be expected. This presentation will briefly describe the IoT developments in agri-food business and present the changing business landscape with special attention to the role of software ecosystems in this development.

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