Precise Crop Pest Detection Based on Co-Ordinate-Attention-Based Feature Pyramid Module

Precise Crop Pest Detection Based on Co-Ordinate-Attention-Based Feature Pyramid Module

Insect pests strongly affect crop growth and value globally. Fast and precise pest detection and counting are crucial measures in the management and mitigation of pest infestations. In this area, deep learning technologies have come to represent the method with the most potential. However, for small...

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Bibliographic Details
Main Authors: Chenrui Kang, Lin Jiao, Kang Liu, Zhigui Liu, Rujing Wang
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Insects
Subjects:
crop pest
object detection
small pest
feature pyramid network
co-ordinate attention
sample selection
Online Access:https://www.mdpi.com/2075-4450/16/1/103
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