Integration of Spectral Measurement and UAV for Paddy Leaves Chlorophyll Content Estimation
Ghazali M.F.a,b,c, Wikantika K.b,c, Aryantha I.N.P.b, Maulani R.R.b, Yayusman L.F.b, Sumantri D.I.b
a Lampung University, Faculty of Engineering, Department of Geodesy and Geomatics Engineering, Bandar Lampung, Indonesia
b Bandung Institute of Technology, Center for Remote Sensing, Bandung, Indonesia
c ForMIND Institute, Bandung, Indonesia
Abstract
© 2020 M. F. Ghazali et al., published by Sciendo 2020.In the agriculture sector, proper crop management can enhance yield production. Determination of the chlorophyll content in crop contributes to this significant topic. In this study, the leaves chlorophyll content of local paddy cultivars Inpari 32 and Inpari 33 was estimated and the difference at various days after planting (DAP) was determined. The procedure involved the combination of spectral reflectance data, aerial photographs taken by unmanned aerial vehicle (UAV), and chlorophyll laboratory analysis data. The chlorophyll content in the cultivars leaves was estimated using the models MCARIspectroradiometer and UAV chlorophyll regression (UCR). The results showed a variation in the chlorophyll content not only between the two cultivars on various DAP, but randomly also in the same cultivar of the same DAP. The MCARIspectroradiometer model indicated a lower chlorophyll content for Inpari 32 than for Inpari 33 while the UCR model gave opposite results. The chlorophyll content raises with increasing DAP, but it gradually decreases through the grain filling period until harvest.
Author keywords
Indexed keywords
aerial photo,Inpari 32,Inpari 33,leaves spectra,paddy cultivars,spectral indices