Biological characters identification for hard clam larva based on the improved YOLOX-s

doi:10.1016/j.compag.2023.108103

IOCAS-IR

	Biological characters identification for hard clam larva based on the improved YOLOX-s
	Wang, Yaxin 1; Wu, Haiyun 1; Hua, Xiuping 1; Ren, Dongyue 1; Li, Yang 1; Mu, Zhimin 1; Xu, Wei 1; Wei, Yong 1; Zhang, Tao2 ; Jiang, Yongcheng 1
	2023-09-01
发表期刊	COMPUTERS AND ELECTRONICS IN AGRICULTURE
ISSN	0168-1699
卷号	212 页码:8
通讯作者	Jiang, Yongcheng(jiangyongcheng@tjau.edu.cn)
摘要	This study presents a real-time identification method for improving the accuracy and efficiency of counting hard clam larvae, overcoming the limitations of traditional manual methods. The proposed approach enhances the YOLOX-S network by incorporating attention mechanism modules into feature layers and up-sampling processes. The proposed model is subjected to comparative evaluations with YOLOv3, YOLOv4, YOLOv5, and Faster R-CNN networks, demonstrating its superior performance. After 150 epochs, the model achieves a training loss of approximately 1.42 and a mean average precision of 96.50%, outperforming models without attention mechanisms. It accurately identifies the quantity, survival rate, length, and width of hard clam larvae, providing valuable insights for quality prediction in the aquaculture industry. These findings contribute to the advancement of shellfish farming practices, offering a precise and efficient tool for larval assessment and promoting sustainable aquaculture development.
关键词	Hard clam larva YOLOX-s Biological characters Convolutional block attention mechanism Deep learning
DOI	10.1016/j.compag.2023.108103
收录类别	SCI
语种	英语
资助项目	Tianjin Enterprise Science and Technology Commissioner[20YDTPJC01340] ; 2023 Key Ramp;D Plan of Shandong Province (major scientific and technological innovation project) -Shellfish Mechanized Harvesting Technology and Equipment
WOS研究方向	Agriculture ; Computer Science
WOS类目	Agriculture, Multidisciplinary ; Computer Science, Interdisciplinary Applications
WOS记录号	WOS:001052234300001
出版者	ELSEVIER SCI LTD
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.qdio.ac.cn/handle/337002/182787
专题	中国科学院海洋研究所
通讯作者	Jiang, Yongcheng
作者单位	1.Tianjin Agr Univ, Coll Engn & Technol, Key Lab Smart Breeding Coconstruct Minist & Prov, Minist Agr & Rural Affairs TJAU, Tianjin 300392, Peoples R China 2.Chinese Acad Sci, Inst Oceanol, Qingdao City 266000, Shandong Provin, Peoples R China
推荐引用方式 GB/T 7714	Wang, Yaxin,Wu, Haiyun,Hua, Xiuping,et al. Biological characters identification for hard clam larva based on the improved YOLOX-s[J]. COMPUTERS AND ELECTRONICS IN AGRICULTURE,2023,212:8.
APA	Wang, Yaxin.,Wu, Haiyun.,Hua, Xiuping.,Ren, Dongyue.,Li, Yang.,...&Jiang, Yongcheng.(2023).Biological characters identification for hard clam larva based on the improved YOLOX-s.COMPUTERS AND ELECTRONICS IN AGRICULTURE,212,8.
MLA	Wang, Yaxin,et al."Biological characters identification for hard clam larva based on the improved YOLOX-s".COMPUTERS AND ELECTRONICS IN AGRICULTURE 212(2023):8.