Chlorophyll A and B Content Measurement System of Velvet Apple Leaf in Hyperspectral Imaging

被引:2
|
作者
Mayranti, Femilia Putri [1 ]
Saputro, Adhi Harmoko [1 ]
Handayani, Windri [2 ]
机构
[1] Univ Indonesia, Dept Phys, Fac Math & Nat Sci, Depok, Indonesia
[2] Univ Indonesia, Dept Biol, Fac Math & Nat Sci, Depok, Indonesia
来源
2019 3RD INTERNATIONAL CONFERENCE ON INFORMATICS AND COMPUTATIONAL SCIENCES (ICICOS 2019) | 2019年
关键词
chlorophyll; hyperspectral; velvet apple; decision tree;
D O I
10.1109/icicos48119.2019.8982485
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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 R-2; 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 R-2; 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 R-2; also 12.00 and 13.09 for RPD.
引用
收藏
页数:5
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