Learned features of leaf phenotype to monitor maize water status in the fields

Computers and Electronics in Agriculture(2020)

引用 27|浏览23
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摘要
•A maize water stress recognition dataset is constructed to do deep learning.•Local features and global context information are extracted from the CNN.•Dimensionality reduction improves recognition performance and efficiency.•Maize water stress in early stage is detected and quantified.
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关键词
Maize water stress,Convolutional neural network,Explainable deep learning,Feature representation,Dimensionality reduction
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