Research project Smart Farm and Agri-environmental Big Data Space (AgriDataValue)

In progress AGRIDATAVALUE 01/02/2023 → 31/01/2029

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Nico Peiren

ILVO researcher

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General introduction

The solution to the triangle of a) global food needs, b) competitiveness/farmers’ fair income and c) sustainable farming/protection of the environment lies in knowledge. Modern farms create a huge amount of data based on IoT sensors and drones, while vast EO data become available via Copernicus Hubs. AgriDataValue aims to establish itself as the “Game Changer” in Smart Farming and agri-environmental monitoring. It aims at strengthening smart-farming capabilities and improving competitiveness and fair income for the primary producer. We are introducing an innovative, intelligent, multi-technology and fully distributed platform of platforms. This will detect and improve sub-optimal performance: such as over-irrigation, excessive use of fertilizers and pesticides (which increase production costs, contaminate groundwater and weaken biodiversity), or greenhouse gas emissions from livestock production (which contribute to global warming).

Research approach

AgriDataValue adopts and adapts a multidimensional approach. We combine state-of-the-art big data and data-space technologies (BDVA/IDSA/GAIA-X) with agricultural knowledge, new business models and agri-environment policies. We leverage existing platforms and edge computing. We introduce novel concepts, methods, tools, pilots and engagement campaigns to go beyond today’s state of the art. Importantly, we perform breakthrough research and create sustainable innovation in upscaling (real-time) sensor data, already evident within the project duration.

Relevance/Valorization

Technological maturity and massive acceptance and implementation are the goals of the AgriDataValue project. Validation will be achieved via 24 use cases in 23 pilots in 9 countries, representing more than 181,000ha with 25 types of crops that span from southwest to northeast Europe, outdoor and greenhouse crops, organic and non-organic production, and more than 2,000 animals of 5 types. More than 4,200 farmers will provide insights and more than 89,000 will be directly informed. More than 1,600 sensors will be utilized and more than 4,500 additional sensors will be installed to measure (real-time) data, including more than 2,500 RFID tags.