{"title":"Approaches for Plant Leaf Classification: A Review","authors":"Sweety Kunjachan, Kala S","doi":"10.1109/ICITIIT57246.2023.10068650","DOIUrl":null,"url":null,"abstract":"Classification of leaves play a vital role in agriculture and Ayurveda. Majority of the research in this field depends upon plant morphology. Among the different parts of the plant, leaves are easy to locate, abundant and occur throughout their lifetime. Plant disease detection, weed management and plant deficiency detection are a few research areas that focus on leaf classification. The size, color and shape may vary depending on geographical conditions and seasonal changes. Hence, classification of leaves is a tedious task. Different approaches have been derived in the last few years. In this paper, various state-of-the-art techniques and their challenges are studied in detail. Comparisons of different approaches in terms of accuracy have also been discussed.","PeriodicalId":170485,"journal":{"name":"2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITIIT57246.2023.10068650","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
Classification of leaves play a vital role in agriculture and Ayurveda. Majority of the research in this field depends upon plant morphology. Among the different parts of the plant, leaves are easy to locate, abundant and occur throughout their lifetime. Plant disease detection, weed management and plant deficiency detection are a few research areas that focus on leaf classification. The size, color and shape may vary depending on geographical conditions and seasonal changes. Hence, classification of leaves is a tedious task. Different approaches have been derived in the last few years. In this paper, various state-of-the-art techniques and their challenges are studied in detail. Comparisons of different approaches in terms of accuracy have also been discussed.