GBiDC-PEST: A novel lightweight model for real-time multiclass tiny pest detection and mobile platform deployment

Deep learning-based intelligent recognition algorithms are increasingly recognized for their potential to address the labor-intensive challenge of manual pest detection. However, their deployment on mobile devices has been constrained by high computational demands. Here, we developed GBiDC-PEST, a m...

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Bibliographic Details

Published in:	Journal of Integrative Agriculture
Main Authors:	Weiyue Xu, Ruxue Yang, Raghupathy Karthikeyan, Yinhao Shi, Qiong Su
Format:	Article
Language:	English
Published:	KeAi Communications Co., Ltd. 2025-07-01
Subjects:	mobile counting real-time processing pest detection tiny object identification algorithm deployment
Online Access:	http://www.sciencedirect.com/science/article/pii/S209531192400426X