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In this paper, we investigate the use of neural networks (NN) to detect weed plants in rice fields based on aerial images. For this purpose, images are taken at 50 meters high with 16.1 megapixels CMOS digital camera mount-ted on an autonomous electrical fixed wind plane. Then, an ortho-mosaic map of the field is created by stitching 250 pictures, as the image is ortho-corrected, the pixel information...
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