{"title":"印度作物病害预测系统的比较研究与开发","authors":"B. Gorad, D. S. Kotrappa","doi":"10.2139/ssrn.3350329","DOIUrl":null,"url":null,"abstract":"Current Agriculture faces many challenges such as climate change, environmental pollution, Infection of various diseases on plants, water shortages and increased societal demand of food production and many more. Many farmers in India commit suicide because of these challenges. Disease Prediction System for Brinjal crop using machine learning is the promising solution, which is based on predicting and responding to disease symptoms variations on Indian Brinjal plant.","PeriodicalId":110628,"journal":{"name":"EngRN: Environmental Chemical Engineering (Topic)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Comparative Study and Development of Disease Prediction System for Indian Crops\",\"authors\":\"B. Gorad, D. S. Kotrappa\",\"doi\":\"10.2139/ssrn.3350329\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Current Agriculture faces many challenges such as climate change, environmental pollution, Infection of various diseases on plants, water shortages and increased societal demand of food production and many more. Many farmers in India commit suicide because of these challenges. Disease Prediction System for Brinjal crop using machine learning is the promising solution, which is based on predicting and responding to disease symptoms variations on Indian Brinjal plant.\",\"PeriodicalId\":110628,\"journal\":{\"name\":\"EngRN: Environmental Chemical Engineering (Topic)\",\"volume\":\"84 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-03-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"EngRN: Environmental Chemical Engineering (Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3350329\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"EngRN: Environmental Chemical Engineering (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3350329","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparative Study and Development of Disease Prediction System for Indian Crops
Current Agriculture faces many challenges such as climate change, environmental pollution, Infection of various diseases on plants, water shortages and increased societal demand of food production and many more. Many farmers in India commit suicide because of these challenges. Disease Prediction System for Brinjal crop using machine learning is the promising solution, which is based on predicting and responding to disease symptoms variations on Indian Brinjal plant.