{"title":"预训练卷积神经网络技术在番茄叶病检测中的比较分析","authors":"Gaurikaa Kathpalia, Revika Anand, Arunima Jaiswal, Bhawna Narwal","doi":"10.1109/AIST55798.2022.10064924","DOIUrl":null,"url":null,"abstract":"Tomato Crop is one of the most abundant and important crops found worldwide. Tomatoes can be found in every kitchen, irrespective of cuisine. Tomato crop production can be significantly affected due to plant diseases and inappropriate treatment. Therefore, it’s extremely important to detect plant diseases early and treat them appropriately. This paper compares the pre-trained deep learning models, specifically Convolutional Neural Networks. Approximately ten models have been used, out of which four have been analyzed that gave the most accuracy.","PeriodicalId":360351,"journal":{"name":"2022 4th International Conference on Artificial Intelligence and Speech Technology (AIST)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparative analysis of pre-trained Convolution Neural Network Techniques for tomato leaf disease detection\",\"authors\":\"Gaurikaa Kathpalia, Revika Anand, Arunima Jaiswal, Bhawna Narwal\",\"doi\":\"10.1109/AIST55798.2022.10064924\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Tomato Crop is one of the most abundant and important crops found worldwide. Tomatoes can be found in every kitchen, irrespective of cuisine. Tomato crop production can be significantly affected due to plant diseases and inappropriate treatment. Therefore, it’s extremely important to detect plant diseases early and treat them appropriately. This paper compares the pre-trained deep learning models, specifically Convolutional Neural Networks. Approximately ten models have been used, out of which four have been analyzed that gave the most accuracy.\",\"PeriodicalId\":360351,\"journal\":{\"name\":\"2022 4th International Conference on Artificial Intelligence and Speech Technology (AIST)\",\"volume\":\"19 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/AIST55798.2022.10064924\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 4th International Conference on Artificial Intelligence and Speech Technology (AIST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIST55798.2022.10064924","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparative analysis of pre-trained Convolution Neural Network Techniques for tomato leaf disease detection
Tomato Crop is one of the most abundant and important crops found worldwide. Tomatoes can be found in every kitchen, irrespective of cuisine. Tomato crop production can be significantly affected due to plant diseases and inappropriate treatment. Therefore, it’s extremely important to detect plant diseases early and treat them appropriately. This paper compares the pre-trained deep learning models, specifically Convolutional Neural Networks. Approximately ten models have been used, out of which four have been analyzed that gave the most accuracy.