Article

Deep learning architectures for semantic segmentation and automatic estimation of severity of foliar symptoms caused by diseases or pests

2021-10-01

Abstract excerpt

Colour-thresholding digital imaging methods are generally accurate for measuring the percentage of foliar area affected by disease or pests (severity), but they perform poorly when scene illumination and background are not uniform. In this study, six convolutional neural network (CNN) architectures were trained for semantic segmentation in images of individual leaves exhibiting necrotic lesions and/or yellowing, c...

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Literature Corpus work: a54a9349-6a47-55b0-8e11-6c942ce65e04
DOI: 10.1016/j.biosystemseng.2021.08.011

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