Design, implementation and validation of a sensor-based precise airblast sprayer to improve pesticide applications in orchards

An orchard sprayer prototype running a variable-rate algorithm to adapt the spray volume to the canopy characteristics (dimensions, shape and leaf density) in real-time was designed and implemented. The developed machine was able to modify the application rate by using an algorithm based on the tree row volume (TRV), in combination with a newly coefficient defined as Density Factor (Df). Variations in the canopy characteristics along the row crop were electronically measured using six ultrasonic sensors (three per sprayer side)
This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 773718 (OPTimised Integrated pest Management for precise detection and control of plant diseases in perennial crops and open- field vegetables, www.optima-h2020.eu). Bernat Salas received funding for his Ph.D. development from Agència de Gestió D'Ajuts Universitaris I de Recerca (AGAUR) (file N° FI_B 01193)
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