{"title":"Usability improvement with crop disease management as a service","authors":"Komal Raikar, Sushopti Gawade, V. Turkar","doi":"10.1109/RISE.2017.8378221","DOIUrl":null,"url":null,"abstract":"Agriculture has been the backbone of every developing country like India. In India, it can be seen that maximum dependency of industries is on farming related activities. Need of technological support and advanced intelligent systems are much in demand. The proposed system represents a digital tool in the form of website as well as a mobile application — “e-farm with C.R.O.P” which will help farmers intelligently. It would include crop disease detection, crop yield prediction and recommendation of best crop as the prime focus. Other features would include multi-lingual support to user, discussion forum and weather updates. Hence the tool will be designed and implemented which can reduce digital divide, usability issues in agriculture domain, linguistic problem in geographical diversity of India and provide better solution that can act as an expert, providing intelligent and smart decisions. The prime focus is on improving the usability of agricultural services by providing a better tool.","PeriodicalId":166244,"journal":{"name":"2017 International Conference on Recent Innovations in Signal processing and Embedded Systems (RISE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Recent Innovations in Signal processing and Embedded Systems (RISE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RISE.2017.8378221","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Agriculture has been the backbone of every developing country like India. In India, it can be seen that maximum dependency of industries is on farming related activities. Need of technological support and advanced intelligent systems are much in demand. The proposed system represents a digital tool in the form of website as well as a mobile application — “e-farm with C.R.O.P” which will help farmers intelligently. It would include crop disease detection, crop yield prediction and recommendation of best crop as the prime focus. Other features would include multi-lingual support to user, discussion forum and weather updates. Hence the tool will be designed and implemented which can reduce digital divide, usability issues in agriculture domain, linguistic problem in geographical diversity of India and provide better solution that can act as an expert, providing intelligent and smart decisions. The prime focus is on improving the usability of agricultural services by providing a better tool.