{"title":"黄龙冰柑橘人工智能鉴定的现状与展望","authors":"Yichuan Bu, Haifeng Gan, Yujian Gan","doi":"10.1145/3438872.3439077","DOIUrl":null,"url":null,"abstract":"Over the past decade, several studies have been published exploring AI-based identification of Huanglongbing. However, there is a shortage of studies that integrate the existing knowledge related to AI technical identification. The main objective of this paper is to review the published papers in a time series to summarize the accuracy of HLB recognition-related AI algorithms in practical use. It also compares the different algorithms used in different studies using the identification accuracy as a benchmark, and finds that more sophisticated AI algorithms such as deep learning have higher accuracy rates. In addition, the article also makes suggestions for the future development direction of this field.","PeriodicalId":199307,"journal":{"name":"Proceedings of the 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Current Status and Perspectives of the Artificial Intelligence-Based Identification of Citrus Huanglongbing\",\"authors\":\"Yichuan Bu, Haifeng Gan, Yujian Gan\",\"doi\":\"10.1145/3438872.3439077\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Over the past decade, several studies have been published exploring AI-based identification of Huanglongbing. However, there is a shortage of studies that integrate the existing knowledge related to AI technical identification. The main objective of this paper is to review the published papers in a time series to summarize the accuracy of HLB recognition-related AI algorithms in practical use. It also compares the different algorithms used in different studies using the identification accuracy as a benchmark, and finds that more sophisticated AI algorithms such as deep learning have higher accuracy rates. In addition, the article also makes suggestions for the future development direction of this field.\",\"PeriodicalId\":199307,\"journal\":{\"name\":\"Proceedings of the 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3438872.3439077\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3438872.3439077","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Current Status and Perspectives of the Artificial Intelligence-Based Identification of Citrus Huanglongbing
Over the past decade, several studies have been published exploring AI-based identification of Huanglongbing. However, there is a shortage of studies that integrate the existing knowledge related to AI technical identification. The main objective of this paper is to review the published papers in a time series to summarize the accuracy of HLB recognition-related AI algorithms in practical use. It also compares the different algorithms used in different studies using the identification accuracy as a benchmark, and finds that more sophisticated AI algorithms such as deep learning have higher accuracy rates. In addition, the article also makes suggestions for the future development direction of this field.