Automated Phenotyping of Epicuticular Waxes of Grapevine Berries Using Light Separation and Convolutional Neural Networks.

Computers and Electronics in Agriculture(2019)

引用 10|浏览52
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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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