Abstract: The invention discloses an unmanned aerial vehicle having multifunctional leg assembly and charging system, including unmanned aerial vehicle and charging station. The UAV includes obstacle avoidance sensors, flight control module, first signal processing module, electric undercarriage and power charge/storage module. The charging station includes power charge/supply module. The obstacle avoidance sensors sense obstacles near the UAV to generate obstacle sensing signals. The first signal processing module interprets and processes the obstacle sensing signals to determine whether there is an obstacle near the UAV, and when the judgment result is yes, an avoidance instruction is transmitted to the flight control module, so that the flight control module drives the UAV to avoid the obstacle. The electric undercarriage includes first leg frame, second leg frame and electric driving mechanism. The electric driving mechanism drives the first leg frame and the second leg frame to fold and unfold alternately.

Abstract: A precision agriculture implementation method by UAV systems and artificial intelligence image processing technologies provides an unmanned aerial vehicle (UAV), a wireless communication device, a central control unit, and a spray device and a multispectral camera installed to the UAV. The farming area is divided into an array of blocks. The central control unit controls the UAV to fly over the blocks according to navigation parameters and the multispectral camera to capture a multispectral image of each block. A projected leaf area index (PLAI) and a normalized difference vegetation index (NDVI) of each block are calculated by the multispectral image, and a spray control mode of the spray device of the corresponding block is set according to the PLAI and NDVI. The spray device is controlled to spray a water solution, salt solution, fertilizer solution, and/or pesticide solution to the corresponding block according to the spray control mode.

Abstract: A precision agriculture implementation method by UAV systems and artificial intelligence image processing technologies provides an unmanned aerial vehicle (UAV), a wireless communication device, a central control unit, and a spray device and a multispectral camera installed to the UAV. The farming area is divided into an array of blocks. The central control unit controls the UAV to fly over the blocks according to navigation parameters and the multispectral camera to capture a multispectral image of each block. A projected leaf area index (PLAI) and a normalized difference vegetation index (NDVI) of each block are calculated by the multispectral image, and a spray control mode of the spray device of the corresponding block is set according to the PLAI and NDVI. The spray device is controlled to spray a water solution, salt solution, fertilizer solution, and/or pesticide solution to the corresponding block according to the spray control mode.