Unmanned Aerial Vehicle (UAV) in Precision Agriculture to Identify the Crop Water Shortage by Using Multi-Spectral Sensor

Abstract

Accurate diagnosis of crop water shortage and scientific irrigation decisions are crucial. A new method of multi-spectral imaging remote sensing image extraction of tea canopy temperature is proposed, and an automatic processing system of remote sensing thermal imaging images is established. In this short communication, A UAV (Unmanned Aerial Vehicle) with multi-spectral sensors used to capture the images. The research results show that the system can efficiently mosaic images without image gap, and ensure that the soil background is wholly eliminated. This research gives us new methods to set an intelligent method for precision agriculture, which greatly improves the level of agricultural intelligence.