{"title":"Leaf Classification of Costus Plant Species Using Convolutional Neural Network","authors":"R. Cruz, Simon Guevarra, J. Villaverde","doi":"10.1109/ICCAE56788.2023.10111389","DOIUrl":null,"url":null,"abstract":"There are a lot of different types of Costus plants, however not all of them are to be considered as Insulin plants. This study focused on the Insulin leaf identification using convolutional neural network. The Keras deep learning API is running on top of the machine learning platform. TensorFlow is the library of deep learning sequential models which provided systematic arrangement of layers from transferring the input data to a new sequential layer. As for the convolutional neural network, it takes the input costus leaf image, assigns importance and inspects the difference between the sample leaf. The accuracy of the system was 86.67%.","PeriodicalId":406112,"journal":{"name":"2023 15th International Conference on Computer and Automation Engineering (ICCAE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 15th International Conference on Computer and Automation Engineering (ICCAE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAE56788.2023.10111389","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
There are a lot of different types of Costus plants, however not all of them are to be considered as Insulin plants. This study focused on the Insulin leaf identification using convolutional neural network. The Keras deep learning API is running on top of the machine learning platform. TensorFlow is the library of deep learning sequential models which provided systematic arrangement of layers from transferring the input data to a new sequential layer. As for the convolutional neural network, it takes the input costus leaf image, assigns importance and inspects the difference between the sample leaf. The accuracy of the system was 86.67%.