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Data Management Platform, AI-based Digital Twin system, process-based models, AI & Machine Vision, field localization and mapping system, robotic systems (retrofit tractor and Direct Injection Spraying (DIS) system).
End-users (farmers, farmers’ associations & cooperatives), agronomists & advisors, agri-food technology manufacturers, AI/Data/Robotics providers, AI, Data and Robotics DIHs, Policy Makers & Standardisation Bodies.
Yield increase by 15-20% per annum, chemical use decrease, operational costs decrease.
After achieving a functional autonomous navigation state during initial testing, the retrofitted tractor was shipped to the Lithuanian pilot site.
The first season of herbicide and biostimulant/adjuvant applications was performed for weed control and crop support during the autumn season.
The inaugural Open Day was held at the AFL-led pilot site in Agrokoncernas. The event successfully demonstrated the autonomous navigation and spraying capabilities to an audience of over 100 farmers.
The "Integration Week" for the Lithuanian pilot was successfully completed.
Following the integration campaign, full autonomous spraying missions were executed, and local technicians were fully trained to operate the system. Additionally, scientific outputs directly tied to this pilot's data were published, including a peer-reviewed paper by Wageningen University (Baja et al.) on constrained reinforcement learning for optimizing nitrogen use efficiency at the Lithuanian site.
