Detecting Botrytis Cinerea Control Efficacy via Deep Learning

Detecting Botrytis Cinerea Control Efficacy via Deep Learning

This study proposes a deep learning-based method for monitoring the growth of Botrytis cinerea and evaluating the effectiveness of control measures. It aims to address the limitations of traditional statistical analysis methods in capturing non-linear relationships and multi-factor synergistic effec...

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Bibliographic Details
Main Authors: Wenlong Yi, Xunsheng Zhang, Shiming Dai, Sergey Kuzmin, Igor Gerasimov, Xiangping Cheng
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Agriculture
Subjects:
Botrytis cinerea
deep learning
attention mechanism
multi-scale features
Shapley
Online Access:https://www.mdpi.com/2077-0472/14/11/2054
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