{"title":"A Review : Classification and Detection Of Plants Diseases Using Machine Learning And Soft Computing Techniques","authors":"Astha Sharma, Ashwini Kumar","doi":"10.1109/AIST55798.2022.10065280","DOIUrl":null,"url":null,"abstract":"This work contains an overview of leaf diseases discovery with numerous image dispensation techniques. Digital image handing out is a reckless, consistent and accurate technique for different algorithms can likewise be used aimed at disease detection, identifications and classifications of foliar diseases of plants. This the article boons the systems used through various authors for identification diseases such as clustering methods, basic colour imaging investigation methods, classifiers and artificial neural network designed for classifications of ailments. The foremost motivation of our work is on investigation of dissimilar foliar disease discovery techniques and as well offers an outline of various image handing out methods.","PeriodicalId":360351,"journal":{"name":"2022 4th International Conference on Artificial Intelligence and Speech Technology (AIST)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 4th International Conference on Artificial Intelligence and Speech Technology (AIST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIST55798.2022.10065280","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
This work contains an overview of leaf diseases discovery with numerous image dispensation techniques. Digital image handing out is a reckless, consistent and accurate technique for different algorithms can likewise be used aimed at disease detection, identifications and classifications of foliar diseases of plants. This the article boons the systems used through various authors for identification diseases such as clustering methods, basic colour imaging investigation methods, classifiers and artificial neural network designed for classifications of ailments. The foremost motivation of our work is on investigation of dissimilar foliar disease discovery techniques and as well offers an outline of various image handing out methods.