3rd Open Call
PARCEVAL will develop FIESTA, a comprehensive and scalable product for monitoring the growth and predicting the quality of agricultural produce. Advanced machine learning (ML) models will be trained for predicting the level of protein, humidity and other parameters based on the data provided by Grupo AN. The solution is globally relevant as it uses images from Sentinel 1 and 2 satellites, C3S historical meteorological data and SoilGrids, all of which are global databases. Resulting services: 1) Yield and nutrient prediction maps and 2) Maps for selective harvesting, overcome issues of the lack of planning, sub-optimal animal feed formulation and ad-hoc sales.
The company was founded as a spin-off from BioSense Institute in 2019 with the aim of providing decision-support services for the farmers, based on the AgTech knowledge gained through successful implementation of the Institute’s research projects. Current focus is on the development of data driven solutions for farmland value estimation, yield prediction, and zone management, technological components that will constitute the core of the FIESTA product. FIESTA will also harness the knowledge from the H2020 CYBELE project where team members contribute to the implementation of automatic inference of the nutritional content in soya fields for selective harvesting and subsequent sales at the appropriate prices.