Dataset of chlorophyll content estimation of Coffea Canephora using Red and Near-Infrared consumer-grade camera

Bayu Taruna Widjaja Putra; Peeyush Soni

doi:10.1016/j.dib.2018.10.035

Dataset of chlorophyll content estimation of Coffea Canephora using Red and Near-Infrared consumer-grade camera

Data Brief. 2018 Oct 16:21:736-741. doi: 10.1016/j.dib.2018.10.035. eCollection 2018 Dec.

Authors

Bayu Taruna Widjaja Putra¹, Peeyush Soni²

Affiliations

¹ Faculty of Agricultural Technology, Jember University, Jember 68121, Indonesia.
² Department of Agricultural and Food Engineering, Indian Institute of Technology Kharagpur, Kharagpur 721302, India.

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.