Frontiers and advances of deep learning-based fruit and vegetable image analysis

doi:10.1016/j.compag.2025.111256

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	Frontiers and advances of deep learning-based fruit and vegetable image analysis
	Ma, Jinlin 1,2; Wan, Yuetong 1; Min, Weiqing 3,4; Ma, Ziping 1; Tan, Lidao 1; Jiang, Shuqiang 3,4
	2026-02-01
发表期刊	COMPUTERS AND ELECTRONICS IN AGRICULTURE
ISSN	0168-1699
卷号	241 页码:22
摘要	Deep learning has achieved promising performance for fruit and vegetable image analysis, by possessing strong representation power, and providing resilient generalization and broad transferability on large-scale data for classification, detection, and segmentation tasks, which is indispensable role in optimizing agricultural practices. This comprehensive survey reviews over 270 recent studies, offering a deep exploration of the key techniques and strategies, fundamental properties, and advancements and future directions according to different categories of deep learning methods for fruit and vegetable image analysis. Furthermore, this paper outlines the novelty and concept of fruit and vegetable image analysis, summarizes publicly available datasets, evaluation metrics, and discusses successful applications in disease detection, quality grading, yield estimation, localization, and multiple application integration. The survey emphasizes the need for processing large-scale datasets and exploring the potential of efficient deep learning for enhancing real-time applications and specific tasks. By comprehensively comparing and analyzing the fundamental attributes of the fruit and vegetable image analysis methods from a fresh perspective, this survey reveals the commonalities and disparities of divert techniques and guides researchers and practitioners toward developing more efficient and accurate solutions.
关键词	Deep learning Fruit and vegetable image analysis Quality grading Yield estimation
DOI	10.1016/j.compag.2025.111256
收录类别	SCI
语种	英语
WOS研究方向	Agriculture ; Computer Science
WOS类目	Agriculture, Multidisciplinary ; Computer Science, Interdisciplinary Applications
WOS记录号	WOS:001629707500001
出版者	ELSEVIER SCI LTD
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/42968
专题	中国科学院计算技术研究所
通讯作者	Ma, Jinlin
作者单位	1.North Minzu Univ, Sch Comp Sci & Engn, Yinchuan 750021, Peoples R China 2.State Ethn Affairs Commiss, Key Lab Intelligent Informat Proc Image & Graph, Yinchuan, Peoples R China 3.Chinese Acad Sci, Key Lab Intelligent Informat Proc, Inst Comp Technol, Beijing 100190, Peoples R China 4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Ma, Jinlin,Wan, Yuetong,Min, Weiqing,et al. Frontiers and advances of deep learning-based fruit and vegetable image analysis[J]. COMPUTERS AND ELECTRONICS IN AGRICULTURE,2026,241:22.
APA	Ma, Jinlin,Wan, Yuetong,Min, Weiqing,Ma, Ziping,Tan, Lidao,&Jiang, Shuqiang.(2026).Frontiers and advances of deep learning-based fruit and vegetable image analysis.COMPUTERS AND ELECTRONICS IN AGRICULTURE,241,22.
MLA	Ma, Jinlin,et al."Frontiers and advances of deep learning-based fruit and vegetable image analysis".COMPUTERS AND ELECTRONICS IN AGRICULTURE 241(2026):22.