Recognition of Wheat Leaf Diseases Using Lightweight Convolutional Neural Networks against Complex Backgrounds

Wheat leaf diseases are considered to be the foremost threat to wheat yield. In the realm of crop disease detection, convolutional neural networks (CNNs) have emerged as important tools. The training strategy and the initial learning rate are key factors that impact the performance and training spee...

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Detalles Bibliográficos
Autores principales: Wen, Xiaojie, Zeng, Minghao, Chen, Jing, Maimaiti, Muzaipaer, Liu, Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10672231/
https://www.ncbi.nlm.nih.gov/pubmed/38004265
http://dx.doi.org/10.3390/life13112125

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10672231/
https://www.ncbi.nlm.nih.gov/pubmed/38004265
http://dx.doi.org/10.3390/life13112125

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