An Intelligent Spraying System with Deep Learning-based Semantic Segmentation of Fruit Trees in Orchards
Jeongeun Kim,Jeahwi Seol,Sukwoo Lee,Se-Woon Hong,Hyoung Il Son,Jeongeun Kim,Jeahwi Seol,Sukwoo Lee,Se-Woon Hong,Hyoung Il Son
This study proposes an intelligent spraying system with semantic segmentation of fruit trees in a pear orchard. A fruit tree detection system was developed using the SegNet model, a semantic segmentation structure. The system is trained with images categorized into five distinct classes. The learned deep learning model performed with an accuracy of 83.79%. Further, we fusion depth data from an RGB...
