Vaidehi Manurkar, Sumedh Kulkarni, Suyash Rokade, Riddhi R. Mirajkar
{"title":"Cotton Plant Disease Prediction and Remedy Recommendation System","authors":"Vaidehi Manurkar, Sumedh Kulkarni, Suyash Rokade, Riddhi R. Mirajkar","doi":"10.1109/ICETSIS61505.2024.10459606","DOIUrl":null,"url":null,"abstract":"In the dynamic context of India's pivotal cotton industry, we embark on a pioneering research endeavor that harnesses the formidable synergy of agriculture, state-of-the-art artificial intelligence, and cutting-edge computer vision technologies. Our work attempts to accomplish two goals: first, we will build a flexible and intelligent AI model that has been fine-tuned to quickly and correctly detect common cotton plant diseases from a collection of images; second, we will build an approachable and user-friendly platform that enables farmers to upload images of their sick cotton crops for quick analysis. Our research aspires to endow the agricultural community with timely, data-driven insights and customized recommendations, thereby elevating disease management and fostering sustainable practices that augment the resilience and prosperity of India's cherished cotton industry.","PeriodicalId":518932,"journal":{"name":"2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)","volume":"5 4","pages":"1616-1620"},"PeriodicalIF":0.0000,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICETSIS61505.2024.10459606","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In the dynamic context of India's pivotal cotton industry, we embark on a pioneering research endeavor that harnesses the formidable synergy of agriculture, state-of-the-art artificial intelligence, and cutting-edge computer vision technologies. Our work attempts to accomplish two goals: first, we will build a flexible and intelligent AI model that has been fine-tuned to quickly and correctly detect common cotton plant diseases from a collection of images; second, we will build an approachable and user-friendly platform that enables farmers to upload images of their sick cotton crops for quick analysis. Our research aspires to endow the agricultural community with timely, data-driven insights and customized recommendations, thereby elevating disease management and fostering sustainable practices that augment the resilience and prosperity of India's cherished cotton industry.