机器视觉在马铃薯生产中的应用综述：从种植到储存

IF 2.7 3区农林科学 Q3 ENGINEERING, CHEMICAL

Journal of Food Process Engineering Pub Date : 2025-06-07 DOI:10.1111/jfpe.70142

Xiaoke Li, Wenbo Xing, Jun Ma, Wenbin He, Yang Cao, Ansheng Li, Yapeng Xu, Wuyi Ming

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引用次数: 0

摘要

本文就机器视觉在马铃薯种植、收获和贮藏中的应用进行了综述。总结了马铃薯栽培过程中常见的杂草和病害，比较了各种检测方法的优缺点。此外，综述了采收过程中土块分离和块茎损伤检测的方法，并对其优缺点进行了比较分析。并对贮藏过程中的缺陷分级和发芽检测方法进行了讨论。虽然机器视觉技术在马铃薯种植、收获和储存方面显示出良好的检测能力，但仍需进一步研究以提高这些方法的准确性和适应性，最终促进马铃薯产业的发展。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A Critical Review on Machine Vision in Potato Production: From Cultivation to Storage

In this paper, a comprehensive overview was conducted on machine vision in potato cultivation, harvesting, and storage. Common weeds and diseases encountered during potato cultivation were summarized, and the advantages and disadvantages of various detection methods were compared. Additionally, methods for soil clod separation and tuber damage detection during harvesting were reviewed, along with a comparative analysis of their strengths and weaknesses. Furthermore, the defect grading and sprouting detection methods during storage were discussed. While machine vision technology shows good detection ability in potato cultivation, harvesting, and storage, further research is still needed to enhance the accuracy and adaptability of these methods, ultimately promoting the development of the potato industry.

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来源期刊

Journal of Food Process Engineering 工程技术-工程：化工

CiteScore

5.70

自引率

10.00%

发文量

259

审稿时长

2 months

期刊介绍： This international research journal focuses on the engineering aspects of post-production handling, storage, processing, packaging, and distribution of food. Read by researchers, food and chemical engineers, and industry experts, this is the only international journal specifically devoted to the engineering aspects of food processing. Co-Editors M. Elena Castell-Perez and Rosana Moreira, both of Texas A&M University, welcome papers covering the best original research on applications of engineering principles and concepts to food and food processes.