Advances in Deep Learning Applications for Plant Disease and Pest Detection: A Review

Advances in Deep Learning Applications for Plant Disease and Pest Detection: A Review

Traditional methods for detecting plant diseases and pests are time-consuming, labor-intensive, and require specialized skills and resources, making them insufficient to meet the demands of modern agricultural development. To address these challenges, deep learning technologies have emerged as a pro...

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Bibliographic Details
Main Authors: Shaohua Wang, Dachuan Xu, Haojian Liang, Yongqing Bai, Xiao Li, Junyuan Zhou, Cheng Su, Wenyu Wei
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Remote Sensing
Subjects:
deep learning
disease detection
plant diseases and pests
image classification
object detection
convolutional neural network
Online Access:https://www.mdpi.com/2072-4292/17/4/698
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