Testing of spraying performance

The service focuses on the testing, calibration and validation of AI- and sensor-based variable-rate spraying technologies in real field conditions. The objective is to assess how machine vision and automated canopy detection systems can optimise the deposition of plant protection products (PPP) on different plant organs. The workflow includes (i) canopy and plant organ recognition for automated spray on/off decisions, (ii) quantification of target surfaces, (iii) evaluation of the deposition pattern using different sensor configurations and sprayer settings, and (iv) correlation of operational data with field parameters and crop-specific indices (e.g., LWA and TRV). The core of the service is a benchmarking comparison between AI-enabled variable-rate spraying and conventional uniform application. Biological efficacy against target diseases or pests is assessed to demonstrate how smarter, data-driven spraying can maintain the same level of protection while reducing input use and minimising drift.