Pilot Case 1 encompasses AI-powered robotics for precise weed detection and spot spraying to reduce chemical plant protection products (CPPs). Advanced algorithms distinguish crops from weeds in complex conditions, supported by augmented reality (AR) for real-time, data-rich decision-making.
The pilot begins with farmer engagement and data collection, followed by algorithm development and lab testing in the second year; in the third year, the technology is deployed in the field with robotic applicators, leading to large-scale demonstrations and commercialization efforts in the final year.
Field trials will assess accuracy, efficiency, and CPP reduction compared to conventional methods. Farmer feedback ensures alignment with real-world practices and sustainability targets.
AR tools support operators with live weed identification overlays and train users through simulations for safe, effective robot-assisted spraying.
Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or Research Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.
Gregory Mygdakos
AGRICULTURAL APPLICATIONS IKE
(AgroApps)
34 KORITSAS STR.,
THESSALONIKI 551 33, Greece
Milica Velimirovic
INOSENS DOO (INOSENS)
SONJE MARINKOVIC 18/1/3,
NOVI SAD 21000, Serbia
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