Cotton Plant Disease Prediction and Remedy Recommendation System

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.
棉花植物病害预测和补救建议系统
在印度举足轻重的棉花产业的动态背景下,我们开始了一项开创性的研究工作,利用农业、最先进的人工智能和尖端计算机视觉技术的强大协同作用。我们的工作试图实现两个目标:首先,我们将建立一个灵活、智能的人工智能模型,该模型经过微调,能够从图像集合中快速、正确地检测常见的棉花植物病害;其次,我们将建立一个平易近人、用户友好的平台,使农民能够上传患病棉花作物的图像,以便进行快速分析。我们的研究旨在为农业界提供及时、数据驱动的见解和定制化建议,从而提升病害管理水平,促进可持续发展实践,增强印度宝贵的棉花产业的复原力和繁荣。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信