Crop conditional Convolutional Neural Networks for massive multi-crop plant disease classification over cell phone acquired images taken on real field conditions
Computers and Electronics in Agriculture(2019)
摘要
•Convolutional Neural Networks (CNN) for disease detection on plants.•Multi-crop CNN that achieves 0.98 balanced accuracy on real field conditions.•Validated in 5 crops, 17 diseases and 121955 images dataset over field conditions.•Proposed CNN integrates both image and categorical data.
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关键词
Convolutional neural network,Deep learning,Contextual meta-data,Contextual meta-data conditional neural network,Crop protection,Multi-label classification,Multi-crop classification,Image processing,Plant disease,Early pest,Disease identification,Precision agriculture,Phyto-pathology
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