EResNet‐SVM: an overfitting‐relieved deep learning model for recognition of plant diseases and pests

BACKGROUND The accurate recognition and early warning for plant diseases and pests are a prerequisite of intelligent prevention and control for plant diseases and pests. As a result of the phenotype similarity of the hazarded plant after plant diseases and pests occur, as well as the interference of...

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Veröffentlicht in:	Journal of the science of food and agriculture 2024-08, Vol.104 (10), p.6018-6034
Hauptverfasser:	Xiong, Haitao, Li, Juan, Wang, Tiewei, Zhang, Fan, Wang, Ziyang
Format:	Artikel
Sprache:	eng
Schlagworte:	Ablation Accuracy artificial intelligence Artificial neural networks Classification Deep learning Feature extraction Insects Machine learning Neural networks object classification object recognition overfitting Pests Phenotypes Plant diseases plant diseases and pests Support vector machines
Online-Zugang:	Volltext
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