{"title":"Estimation of Arecanut Yield in Various Climatic Zones of Karnataka using Data Mining Technique: A Survey","authors":"M. Manjunatha, A. Parkavi","doi":"10.1109/ICCTCT.2018.8551083","DOIUrl":null,"url":null,"abstract":"Agriculture is the widely practiced job in India which has the major share in the country's Gross Domestic Profit (GDP). Agriculture in India is being practiced as traditional job because of which agriculture is not being practiced as the technology-driven or technology-oriented job. As a result, the farming practice in India is not producing good economic outcome. Data mining in agriculture is one such emerging trend which aims at improving the farming practice by considering the crop yield data. This crop yield data can be subjected to weather data and soil data in order to analyze the individual or combined effect of weather parameters and soil type on crop yield. This paper highlights some of the data analytical techniques used to analyze the crop yield based on which the current experiment is inspired.","PeriodicalId":344188,"journal":{"name":"2018 International Conference on Current Trends towards Converging Technologies (ICCTCT)","volume":"254 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Current Trends towards Converging Technologies (ICCTCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCTCT.2018.8551083","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
Agriculture is the widely practiced job in India which has the major share in the country's Gross Domestic Profit (GDP). Agriculture in India is being practiced as traditional job because of which agriculture is not being practiced as the technology-driven or technology-oriented job. As a result, the farming practice in India is not producing good economic outcome. Data mining in agriculture is one such emerging trend which aims at improving the farming practice by considering the crop yield data. This crop yield data can be subjected to weather data and soil data in order to analyze the individual or combined effect of weather parameters and soil type on crop yield. This paper highlights some of the data analytical techniques used to analyze the crop yield based on which the current experiment is inspired.