Imagine a smart system that acts like a health tracker for farms, using satellites and sensors to spot problems before they happen. It also turns insect waste into high-quality plant food and uses bugs as a cheap, healthy replacement for soy in animal feed. It's basically a circular loop where nothing goes to waste and food grows faster and healthier.
Food producers face rising costs for soy-based feed and crop losses due to pests and unpredictable weather. There is a lack of affordable, real-time monitoring tools to optimize yield in diverse environments.
A digital monitoring platform using GANs and deep learning for weather/environmental analysis, a suite of 30+ low-cost IoT sensors, and 25+ insect-protein based feed recipes.
If you are a feed mill operator dealing with high soybean costs — this project developed over 25 feed recipes using Black Soldier Fly protein that can increase egg production by more than 85%. This allows you to lower raw material costs while improving livestock yield.
If you are a tech provider dealing with poor crop monitoring in remote areas — this project developed the SynField sensor family supporting over 30 low-cost sensors for air, leaf, and soil. You can deploy these to provide real-time environmental analytics to farmers.
If you are a fertilizer company dealing with chemical runoff and soil depletion — this project developed techniques to use insect frass fertilizer for crop immunity. This provides a regenerative input that improves nitrogen fixation in the soil.
Based on available project data, specific pricing is not mentioned, but the project emphasizes the use of 'low-cost sensors' for its monitoring tools.
The project has validated over 25 feed recipes under farmer field conditions and installed sensors in 6 African countries, suggesting a transition toward scaling.
Based on available project data, the licensing terms are not specified, though the project is coordinated by an SME (Synelixis) with a high industry partner ratio.
The system uses software interfaces to ingest satellite data, UAV video streams, and IoT device data, processing them via deep-learning algorithms.
The project period runs from 2022-10-01 to 2026-03-31, with current reports showing active field installations and recipe validation.
The consortium is heavily weighted toward commercial application, with a 56% industry ratio (9 industry partners, 7 of which are SMEs). This strong private-sector presence, combined with partners from 14 countries, suggests the project is designed for market entry rather than pure academic research.
Contact Synelixis Lyseis Pliroforikis Automatismou & Tilepikoinonionion Anonimi Etairia in Greece
Contact us to explore licensing the SynField sensor suite or BSF feed recipes.
