A Real-Time Aerial Image Processing form Multispectral Camera for Agriculture
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Abstract
This research is part of the unmanned aerial vehicle for precision agriculture. The objective is to develop an unmanned aerial system that is equipped with a multispectral imaging camera and develop software to analyze the Normalized Difference Vegetable Index (NDVI) in real time and locate the location of the stress plant. The NDVI calculated using live stream video input from the flying UAV and located the plant stress coordinate. The coordinates are input into the flight planning software for control the UAV to that coordinates for further fertilizer spraying. The flight test location are 2 rai of the lime field and can be located the 3 interested coordinates from geolocation real-time NDVI software. The flight test results show that the UAV reduced altitude for home position, 100 meters, and continue flying to the 3 coordinates using speed 6 m/s with the speed error ±1 m/s. The flight position error between 0-6 meters and the altitude error between 0-2 meters and can be reduced by using the high performance sensor for further development.
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จีรศักดิ์ หมวดโพธิ์กลาง, 2559. การควบคุมตำแหน่งอากาศยาน 4 ใบพัดโดยใช้ระบบการเห็นภาพ. วารสารนายเรืออากาศวิชาการ, ปีที่ 12, ฉบับที่ 12 หน้า 17-21.