Cargando…
A lightweight model for efficient identification of plant diseases and pests based on deep learning
Plant diseases and pests have always been major contributors to losses that occur in agriculture. Currently, the use of deep learning-based convolutional neural network models allows for the accurate identification of different types of plant diseases and pests. To enable more efficient identificati...
Autores principales: | Guan, Hongliang, Fu, Chen, Zhang, Guangyuan, Li, Kefeng, Wang, Peng, Zhu, Zhenfang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10382237/ https://www.ncbi.nlm.nih.gov/pubmed/37521914 http://dx.doi.org/10.3389/fpls.2023.1227011 |
Ejemplares similares
-
Editorial: Deep learning in crop diseases and insect pests
por: Chen, Peng, et al.
Publicado: (2023) -
Automatic pest identification system in the greenhouse based on deep learning and machine vision
por: Zhang, Xiaolei, et al.
Publicado: (2023) -
MS-Net: a novel lightweight and precise model for plant disease identification
por: Quan, Siyu, et al.
Publicado: (2023) -
ASFL-YOLOX: an adaptive spatial feature fusion and lightweight detection method for insect pests of the Papilionidae family
por: Xu, Lijia, et al.
Publicado: (2023) -
DIANA: A deep learning-based paprika plant disease and pest phenotyping system with disease severity analysis
por: Ilyas, Talha, et al.
Publicado: (2022)