Femilia Putri Mayranti, A. H. Saputro, W. Handayani
{"title":"Chlorophyll A and B Content Measurement System of Velvet Apple Leaf in Hyperspectral Imaging","authors":"Femilia Putri Mayranti, A. H. Saputro, W. Handayani","doi":"10.1109/ICICoS48119.2019.8982485","DOIUrl":null,"url":null,"abstract":"Pigments are a vital role in plants. Pigments can consist of several chemical structures, such as chlorophyll. Chlorophyll is a green pigment of plants can help to process photosynthetic. Chlorophyll divided into chlorophyll a and b. In this study, the authors were measured chlorophyll a and b content using hyperspectral imaging. Hyperspectral imaging had 224 full wavelengths in range 400 until 1000 nm. To measure that content, not all of 224 bands had important information of chlorophyll a and b. So that using DT method for wavelength selection had increased the performance system. The number of optimal wavelengths for chlorophyll a and b is 28 and 40 wavelengths. Comparing with several algorithms, i.e. PLSR and DT, PLSR model for full bands has the performance each chlorophyll a and b of 0.90 both for R2; also 3.25 and 3.46 for RPD. DT model for full bands has the performance each chlorophyll a and b of 0.94 and 0.96 for R2; also 4.57 and 5.02 for RPD. Then, DT with wavelength selection has improved the performance system each chlorophyll a and b of 0.99 and 0.99 for R2; also 12.00 and 13.09 for RPD.","PeriodicalId":105407,"journal":{"name":"2019 3rd International Conference on Informatics and Computational Sciences (ICICoS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 3rd International Conference on Informatics and Computational Sciences (ICICoS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICoS48119.2019.8982485","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Pigments are a vital role in plants. Pigments can consist of several chemical structures, such as chlorophyll. Chlorophyll is a green pigment of plants can help to process photosynthetic. Chlorophyll divided into chlorophyll a and b. In this study, the authors were measured chlorophyll a and b content using hyperspectral imaging. Hyperspectral imaging had 224 full wavelengths in range 400 until 1000 nm. To measure that content, not all of 224 bands had important information of chlorophyll a and b. So that using DT method for wavelength selection had increased the performance system. The number of optimal wavelengths for chlorophyll a and b is 28 and 40 wavelengths. Comparing with several algorithms, i.e. PLSR and DT, PLSR model for full bands has the performance each chlorophyll a and b of 0.90 both for R2; also 3.25 and 3.46 for RPD. DT model for full bands has the performance each chlorophyll a and b of 0.94 and 0.96 for R2; also 4.57 and 5.02 for RPD. Then, DT with wavelength selection has improved the performance system each chlorophyll a and b of 0.99 and 0.99 for R2; also 12.00 and 13.09 for RPD.