Agrobit: Computer vision and AI for farmers
Agrobit is an agtech startup that develops digital agriculture solutions and decision support systems (DSS) using crop images collected by optical tools (smartphones, tractor-mounted cameras, drones).
Agrobit's mission is to help farmers and technicians optimizing the use of agro-inputs, reducing costs and the social and environmental impacts of agricultural activities up to 50%, in line with the EU Green Deal and the UN’s SDGs.
Flagship product
The flagship product is iAgro, an innovative mobile app that transforms the smartphone into a low-cost and scalable precision farming tool by leveraging AI, AR, computer vision, 3D modeling (digital twin) and cloud computing. The app allows to get biometric and biophysical data of tree crops, export reports, maps and the history of the health status of the field. Using common smartphones, the user performs a 3D scan on the target tree which is then analyzed by computer vision and AI algorithms, creating its 3D model and automatically calculating biometric parameters (thickness, height, canopy volume), vigor parameters (LAI, LWA, TRV) and optimal doses of agrochemicals and water to be distributed in the field.
By repeating the scans in multiple points of the field, the app allows to generate vigor maps (useful for optimizing fertilization and harvest) and prescription maps for optimized variable-rate pesticide treatments. With respect to other technologies like satellites or fixed field sensors, iAgro is much more precise (especially for tree crops), scalable and cheaper, giving the possibility to the majority of farms (i.e., farms with less than 10 hectares that are the 70% in Europe) to enter and exploit the digital agriculture transformation. The app is sold in affordable annual subscriptions with increasing prices with respect to farm dimensions.
The iAgro app has undergone regional and EU research projects in 2022-2024 to validate the algorithms in real field conditions (especially in vineyards, fruit orchards, olive groves). During these experimentations, the variable-rate pesticide treatments recommended by the app allowed to reduce the use of agrochemicals and water up to 62% in early phenological phases and up to 33% as mean value during the season, with nearly the same treatment efficacy and disease presence of the fixed rate treatments. The app also demonstrated to be able to lower the economic costs of the pesticide treatments up to 80€/ha/treatment.
Along with iAgro, we offer also tree crop yield forecasting with tractor-mounted cameras (iTractor service) and drone image analysis for assessing stress and diseases (iDrone service.
Participate in Fruit Attraction at stand 5A12C