{"title":"A Review on Tomato Disease and Artificially Intelligent Cure","authors":"Sachin Sharma, V. Mishra, Ashendra K. Saxena","doi":"10.1109/SMART55829.2022.10046724","DOIUrl":null,"url":null,"abstract":"Formers are the initial pillar of any country's economy. In this era, the cleanshaven occurred red in the plants as it has been affected by a lot of diseases. Due to that the loss of money, time, manpower, and hard work of farmers. The vegetables that are affected by the disease can even harm human life. As we all know, how plants are important in our life. Plants are the only source of income for farmers. They play a big role in the economic growth of any country Nowadays leaf disease detection is the main concern issue all over the world. Manual identification of the disease is a big challenge. Thus, numerous research has been initiated to identify the disease automatically in this context, and new emerging technology such as machine learning (ML) has been used. It will help to improve the usage of time and enhance Accuracy. This will help to enhance the economy of any country. The disease can harm any plant's quality and production, which will lead the economic loss. Detection of disease in its early stages can reduce the loss of farmers and will help to enhance production. Most of the diseases in plants have the same symptoms, and we can notice them with our naked eye. But early detection of disease and proper ways of remedy more essential, and it will help to reduce the global food problem. This article targets to develop a ML approach for early discovery of disease as well as suggest the appropriate solutions.","PeriodicalId":431639,"journal":{"name":"2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SMART55829.2022.10046724","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
Formers are the initial pillar of any country's economy. In this era, the cleanshaven occurred red in the plants as it has been affected by a lot of diseases. Due to that the loss of money, time, manpower, and hard work of farmers. The vegetables that are affected by the disease can even harm human life. As we all know, how plants are important in our life. Plants are the only source of income for farmers. They play a big role in the economic growth of any country Nowadays leaf disease detection is the main concern issue all over the world. Manual identification of the disease is a big challenge. Thus, numerous research has been initiated to identify the disease automatically in this context, and new emerging technology such as machine learning (ML) has been used. It will help to improve the usage of time and enhance Accuracy. This will help to enhance the economy of any country. The disease can harm any plant's quality and production, which will lead the economic loss. Detection of disease in its early stages can reduce the loss of farmers and will help to enhance production. Most of the diseases in plants have the same symptoms, and we can notice them with our naked eye. But early detection of disease and proper ways of remedy more essential, and it will help to reduce the global food problem. This article targets to develop a ML approach for early discovery of disease as well as suggest the appropriate solutions.