Automated Phenotyping of Epicuticular Waxes of Grapevine Berries Using Light Separation and Convolutional Neural Networks.
Computers and Electronics in Agriculture(2019)
摘要
•Convolution Neural Networks are used to phenotype epicuticular waxes.•Light separation methods are used which increase the accuracy of wax detection.•Monitoring of berry bloom with a fast, objective and sensor-based approach.
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关键词
Convolutional Neural Networks (CNN),Direct and global illumination,Vitis vinifera,Berry bloom,Botrytis cinerea
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