Etude et modélisation du comportement des gouttelettes de produits phytosanitaires sur les feuilles de vignes par imagerie ultra-rapide et analyse de texture

In the domain of vineyard precision spraying research, one of the most important objectives is to minimize the volume of phytosanitary products ejected by a sprayer in order to be more environmentally respectful with more effective vine leaf treatments. Unfortunaltely, even if lot of works have been carried out at a parcel scale, mainly on losses caused by drift, less works have been carried out at the leaf scale in order to understand which parameters influence the spray quality. Since few years, recent improvements in image processing, sensitivity of imaging systems and cost reduction have increased the interest of high-speed imaging techniques. Analyzing the behavior of droplets after impact with the leaf thanks to high speed imaging technology is a relevant solution. By this way, we propose a droplets behavior analyzing process in vineyard spraying context based on high-speed acquision system combined with image processing techniques. This process allows us to extract droplets parameters. Therefore, a statistical study is processed in order to determine the effects of droplets parameters on leaf impact or to predict behavior of a single droplet. Since this behavior is strongly related to leaf surface, we also propose to validate a natural leaf roughness characterization method based on texture analysis.