{"title":"基于人工智能技术的果蔬保鲜:研究进展与应用前景","authors":"","doi":"10.1016/j.compag.2024.109382","DOIUrl":null,"url":null,"abstract":"<div><p>Fresh fruits and vegetables are characterized by high water content, perishability and strong seasonality. In the process of supply chain, it is easy to lead to the decrease of freshness. Artificial intelligence (AI) technology is considered as an effective new means to assist the preservation of fruits and vegetables. It is used in the post-harvest, storage and cold chain transport stages of the fruits and vegetables supply chain. This paper reviews several advanced AI technologies and systematically introduces the application of these technologies in fruits and vegetables preservation. AI can achieve quality assessment, cold chain environment monitoring, and shelf-life prediction for fruits and vegetables, optimize supply chain management, and improve product traceability. The new fruits and vegetables preservation strategy based on AI has greatly maintained the product quality of fruits and vegetables. In addition, the current limitations and future development trends of AI technology in fruit and vegetable preservation are also discussed. This paper aims to provide guidelines for applying AI technology in fruit and vegetable preservation and provide new ideas for the future fruit and vegetable preservation process to make it more efficient and intelligent.</p></div>","PeriodicalId":50627,"journal":{"name":"Computers and Electronics in Agriculture","volume":null,"pages":null},"PeriodicalIF":7.7000,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fruits and vegetables preservation based on AI technology: Research progress and application prospects\",\"authors\":\"\",\"doi\":\"10.1016/j.compag.2024.109382\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Fresh fruits and vegetables are characterized by high water content, perishability and strong seasonality. In the process of supply chain, it is easy to lead to the decrease of freshness. Artificial intelligence (AI) technology is considered as an effective new means to assist the preservation of fruits and vegetables. It is used in the post-harvest, storage and cold chain transport stages of the fruits and vegetables supply chain. This paper reviews several advanced AI technologies and systematically introduces the application of these technologies in fruits and vegetables preservation. AI can achieve quality assessment, cold chain environment monitoring, and shelf-life prediction for fruits and vegetables, optimize supply chain management, and improve product traceability. The new fruits and vegetables preservation strategy based on AI has greatly maintained the product quality of fruits and vegetables. In addition, the current limitations and future development trends of AI technology in fruit and vegetable preservation are also discussed. This paper aims to provide guidelines for applying AI technology in fruit and vegetable preservation and provide new ideas for the future fruit and vegetable preservation process to make it more efficient and intelligent.</p></div>\",\"PeriodicalId\":50627,\"journal\":{\"name\":\"Computers and Electronics in Agriculture\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":7.7000,\"publicationDate\":\"2024-08-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers and Electronics in Agriculture\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0168169924007737\",\"RegionNum\":1,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AGRICULTURE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers and Electronics in Agriculture","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0168169924007737","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
Fruits and vegetables preservation based on AI technology: Research progress and application prospects
Fresh fruits and vegetables are characterized by high water content, perishability and strong seasonality. In the process of supply chain, it is easy to lead to the decrease of freshness. Artificial intelligence (AI) technology is considered as an effective new means to assist the preservation of fruits and vegetables. It is used in the post-harvest, storage and cold chain transport stages of the fruits and vegetables supply chain. This paper reviews several advanced AI technologies and systematically introduces the application of these technologies in fruits and vegetables preservation. AI can achieve quality assessment, cold chain environment monitoring, and shelf-life prediction for fruits and vegetables, optimize supply chain management, and improve product traceability. The new fruits and vegetables preservation strategy based on AI has greatly maintained the product quality of fruits and vegetables. In addition, the current limitations and future development trends of AI technology in fruit and vegetable preservation are also discussed. This paper aims to provide guidelines for applying AI technology in fruit and vegetable preservation and provide new ideas for the future fruit and vegetable preservation process to make it more efficient and intelligent.
期刊介绍:
Computers and Electronics in Agriculture provides international coverage of advancements in computer hardware, software, electronic instrumentation, and control systems applied to agricultural challenges. Encompassing agronomy, horticulture, forestry, aquaculture, and animal farming, the journal publishes original papers, reviews, and applications notes. It explores the use of computers and electronics in plant or animal agricultural production, covering topics like agricultural soils, water, pests, controlled environments, and waste. The scope extends to on-farm post-harvest operations and relevant technologies, including artificial intelligence, sensors, machine vision, robotics, networking, and simulation modeling. Its companion journal, Smart Agricultural Technology, continues the focus on smart applications in production agriculture.