Please use this identifier to cite or link to this item:
https://repository.unej.ac.id/xmlui/handle/123456789/105089
Title: | Dataset of Chlorophyll Content Estimation of Coffea Canephora Using Red and Near-Infrared Consumer-Grade Camera |
Authors: | PUTRA, Bayu Taruna Widjaja SONI, Peeyush |
Keywords: | Dataset of Chlorophyll Content Estimation of Coffea Canephora Using Red and Near-Infrared Consumer-Grade Camera |
Issue Date: | 2-Dec-2018 |
Publisher: | Data in Brief |
Abstract: | This dataset presents a series of broad Red and Near-Infrared (NIR) bands obtained from consumer-grade camera in estimating chlorophyll contents in Robusta coffee (Coffea Canephora) plants at the leaf level. A total of 600 leaves were measured using direct-leaf tools namely SPAD-502 chlorophyll meter, Spectrometer, and modified consumer-grade camera using a 665 nm long-pass external filter. |
URI: | http://repository.unej.ac.id/handle/123456789/105089 |
Appears in Collections: | LSP-Jurnal Ilmiah Dosen |
Files in This Item:
File | Description | Size | Format | |
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FTP_JURNAL_Dataset of chlorophyll content estimation of_BAYU TW.pdf | 756.46 kB | Adobe PDF | View/Open |
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