Imagine buying a fancy new gadget for your garden but not knowing if it actually grows more vegetables or just wastes electricity. This work acts like a giant, independent review system for farm tech. It compares farms using digital tools against similar farms that don't, to see if the tech actually pays off in real life.
Farmers are slow to adopt digital tools because they lack hard data on actual costs and benefits. There is a gap between the promised efficiency of 'smart farming' and the real-world economic results.
An assessment system to measure tech impact, a Toolkit for farmers and advisors, and a Digital Intelligence Academy (DIA) for capacity building.
If you are a software developer dealing with slow customer adoption—this project developed an assessment system that provides hard data on costs and benefits. It helps you prove to skeptical farmers that your tool increases competitiveness across 7 agricultural sectors.
If you are an advisor dealing with a lack of clear evidence to guide farmers—this project developed a Toolkit and a Digital Intelligence Academy (DIA). These tools help you give precise, data-backed recommendations to farmers in 20 different countries.
If you are a policymaker dealing with inefficient subsidy distribution for tech—this project developed policy recommendations based on 30 real-life test cases. This ensures funding goes toward tools that actually improve environmental and economic performance.
Based on available project data, specific pricing for the Toolkit or DIA is not mentioned; the project focuses on establishing the assessment method and providing recommendations.
Yes, the project has already tested the approach across 115 commercial farms in 20 countries, covering 10 biogeographical regions.
Based on available project data, the specific licensing terms are not listed, but the project includes a dedicated work package for exploitation and knowledge transfer.
The project focuses on assessing various Digital Agriculture Technologies (DATS) in real production settings to determine their effectiveness and impact.
The project runs from July 2022 to March 2026, with testing occurring over 3 growing seasons.
The project is heavily industry-driven, with 19 industry partners (54% of the total) and 14 SMEs. This high commercial ratio, combined with 35 partners across 20 countries, suggests the results are designed for immediate market application rather than purely academic study.
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Contact us to access the DATS Assessment Framework and Toolkit for your agri-tech product.
