How can the Internet of Things (IoT) secure sufficient, safe and healthy food and strengthen competitiveness of farming and food chains in Europe? It is expected that the project, funded by the European Community, will pave the way for data-driven farming, autonomous operations, virtual food chains and personalized nutrition for European citizens.
The IoF2020 (Internet of Food Farm 2020) project, funded by the European Community H2020-program is dedicated to accelerate the adoption of the Internet of Things (IoT) for securing sufficient, safe and healthy food and to strengthen competitiveness of farming and food chains in Europe. It focuses on advancing knowledge concerning the application, use and benefits of the IoT in the agriculture sector, and aims to consolidate Europe’s leading position in the global IoT industry by fostering a symbiotic ecosystem of farmers, food industry, technology providers and research institutes. Improvements in crop yields, reduction in adverse impacts of fertilizer, pesticide and water use based on IoT sensor usage will be studied in this project. End-to-end provenance information, as well as enhanced consumer focused information delivery concepts will also be examined. Anticipating vast technological developments and emerging challenges for farming and food, a mid-term open call will allow for testing intermediate results of the four-year project will extend it with technical solutions and test sites. A coherent dissemination strategy for use case products and project learnings supported by leading user organizations will ensure a high market visibility and an increased learning curve. The core of the project lies within the 5 trials. These cover 5 sectors (arable, dairy, fruits, vegetables and meat), while involving end-users (e.g. farmers) and IoT developers, demonstrating innovative IoT solutions and their application in farming and food sector. To showcase each of the trials, the project is organized around 19 use cases.
Digital Transformation, Food Logistics, Environment, Sustainability
Wageningen University & Research, Kühne Logistics University