Identification of Soybean Foliar Diseases Using Unmanned Aerial Vehicle Images.

IEEE Geoscience and Remote Sensing Letters(2017)

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摘要
Soybean has been the main Brazilian agricultural commodity, contributing substantially to the country's trade balance. However, foliar diseases are the key factor that can undermine the soy production, usually caused by fungi, bacteria, viruses, and nematodes. This letter proposes a computer vision system to track soybean foliar diseases in the field using images captured by the low-cost unmanned ...
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关键词
Diseases,Image segmentation,Agriculture,Image color analysis,Shape,Unmanned aerial vehicles,Computer vision
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