GDnet-IP: Grouped Dropout-Based Convolutional Neural Network for Insect Pest Recognition

GDnet-IP: Grouped Dropout-Based Convolutional Neural Network for Insect Pest Recognition

Lightweight convolutional neural network (CNN) models have proven effective in recognizing common pest species, yet challenges remain in enhancing their nonlinear learning capacity and reducing overfitting. This study introduces a grouped dropout strategy and modifies the CNN architecture to improve...

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Bibliographic Details
Main Authors: Dongcheng Li, Yongqi Xu, Zheming Yuan, Zhijun Dai
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Agriculture
Subjects:
common pests
lightweight CNN
insect image recognition
grouped dropout
activation function
batch normalization
Online Access:https://www.mdpi.com/2077-0472/14/11/1915
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