Smart Agricultural Pest Detection Using I-YOLOv10-SC: An Improved Object Detection Framework

Smart Agricultural Pest Detection Using I-YOLOv10-SC: An Improved Object Detection Framework

Aiming at the problems of insufficient detection accuracy and high false detection rates of traditional pest detection models in the face of small targets and incomplete targets, this study proposes an improved target detection network, I-YOLOv10-SC. The network leverages Space-to-Depth Convolution...

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Bibliographic Details
Main Authors: Wenxia Yuan, Lingfang Lan, Jiayi Xu, Tingting Sun, Xinghua Wang, Qiaomei Wang, Jingnan Hu, Baijuan Wang
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Agronomy
Subjects:
Space-to-Depth Convolution
shape weights
Scale Adjustment Factors
intelligent pest monitoring
Online Access:https://www.mdpi.com/2073-4395/15/1/221
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