Autor: CHING-JU CHEN YING-CHENG CHEN TING-LI LIU CANDERA WIJAYA XI-WEI LIN
Company: National Yunlin University of Science and Technology (Department of Electrical Engineering) Chang Gung University of Science and Technology (Department of Nursing) National Yunlin University of Science and Technology (Department of Industrial Design)
“Precision Agriculture with Drone Spraying Paths Planned by AI Automatic Identification of Tree Species on the Slope” uses drones equipped with high-resolution lenses to take orthophoto images of planting areas and analyze the types of mixed fruit trees planted on slopes, locate the range of target fruit trees, cut and obtain agricultural spraying coordinate through grids, plan agricultural spraying paths with the shortest distance and avoid obstacles, and automatically perform precise agricultural spraying for spraying drones.
The downward pressure wind force caused by the propeller during agricultural spraying through the drone can evenly spray pesticides or liquid fertilizers on the target fruit trees, saving 95% of water and achieving precise agricultural spraying. The high-resolution lens can accurately locate the coordinates of obstacles to ensure that the plant protection machine can avoid obstacles safely, perform more efficient precision agricultural spraying operations, reduce the damage to the environment caused by excessive use of workforce and pesticides, and improve farmers’ work efficiency and fruit tree production to achieve a high-tech intelligent agricultural management system.
This technology aims to integrate artificial intelligence and Internet of Things technology to prevent and control Tessaratoma papillosa (Drury) epidemic areas by using spraying drones to avoid non-infested regions and reduce the damage caused by excessive pesticide use to the environment. It addresses the challenge of pest control in areas where the workforce is aging and pesticide application is difficult.