Identification Method of Citrus Aurantium Diseases and Pests Based on Deep Convolutional Neural Network

The traditional identification methods of Citrus aurantium diseases and pests are prone to convergence during the running process, resulting in low accuracy of identification. To this end, this study reviews the newest methods for the identification of Citrus aurantium diseases and pests based on a...

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Detalles Bibliográficos
Autores principales: Lin, Yuke, Xu, Jin, Zhang, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9166991/
https://www.ncbi.nlm.nih.gov/pubmed/35669669
http://dx.doi.org/10.1155/2022/7012399

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9166991/
https://www.ncbi.nlm.nih.gov/pubmed/35669669
http://dx.doi.org/10.1155/2022/7012399

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