Quchao Cheng, Jiaojie Li, Guochao Shen, Qingmin Du
{"title":"基于机器学习的数字图像土壤分析","authors":"Quchao Cheng, Jiaojie Li, Guochao Shen, Qingmin Du","doi":"10.1109/ICNISC54316.2021.00127","DOIUrl":null,"url":null,"abstract":"In this paper, a digital image soil analysis model based on machine learning is established.According to the mean value of HSV and image foreground, two algorithms, MLP and SVM, were used to predict the drug content in the same soil, which proved the accuracy of image analysis by MLP network and support vector machine. Drug content detection by image can be applied to land management, which provides a new idea and effective reference for comprehensive soil analysis in many aspects.","PeriodicalId":396802,"journal":{"name":"2021 7th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Digital Image Soil Analysis based on Machine Learning\",\"authors\":\"Quchao Cheng, Jiaojie Li, Guochao Shen, Qingmin Du\",\"doi\":\"10.1109/ICNISC54316.2021.00127\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a digital image soil analysis model based on machine learning is established.According to the mean value of HSV and image foreground, two algorithms, MLP and SVM, were used to predict the drug content in the same soil, which proved the accuracy of image analysis by MLP network and support vector machine. Drug content detection by image can be applied to land management, which provides a new idea and effective reference for comprehensive soil analysis in many aspects.\",\"PeriodicalId\":396802,\"journal\":{\"name\":\"2021 7th Annual International Conference on Network and Information Systems for Computers (ICNISC)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 7th Annual International Conference on Network and Information Systems for Computers (ICNISC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNISC54316.2021.00127\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 7th Annual International Conference on Network and Information Systems for Computers (ICNISC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNISC54316.2021.00127","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Digital Image Soil Analysis based on Machine Learning
In this paper, a digital image soil analysis model based on machine learning is established.According to the mean value of HSV and image foreground, two algorithms, MLP and SVM, were used to predict the drug content in the same soil, which proved the accuracy of image analysis by MLP network and support vector machine. Drug content detection by image can be applied to land management, which provides a new idea and effective reference for comprehensive soil analysis in many aspects.
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