* Corresponding Author
CIE L*a*b* Color Space Based Vegetation Indices Derived from Unmanned Aerial Vehicle Captured Images for Chlorophyll and Nitrogen Content Estimation of Tea (Camellia sinensis L. Kuntze) Leaves
https://doi.org/10.22146/ipas.40693 Wahono Wahono(1*), Didik Indradewa(2), Bambang Hendro Sunarminto(3), Eko Haryono(4), Djoko Prajitno(5)
(1) Faculty of Agriculture Universitas Gadjah Mada, Yogyakarta
(2) Faculty of Agriculture Universitas Gadjah Mada, Yogyakarta
(3) Faculty of Agriculture Universitas Gadjah Mada, Yogyakarta
(4) Faculty of Geography University of Gadjah Mada, Yogyakarta
(5) Faculty of Agriculture Universitas Gadjah Mada, Yogyakarta
(*) Corresponding Author
Abstract
A lot of digital image techniques to assess crop agronomic character have been developed. Most of those techniques are based on non-visible light equiped cameras, such as infared wavelengths. This research was aimed to examine the use of commercial digital camera with sensor range in visible light spectrum using CIE L*a*b* color space to estimate chlorophyll and nitrogen content of tea leaf. Data was collected from an experiment of nitrogen dossage levels on 3 years after prunning tea crops. The result shows that Lb* Difference Simple Index (LI), a*b* Difference Simple Index (AI), and a* Vegetation Index (VIA) can be used to estimate tea leaf chlorophyll and nitrogen content. The relationship between VIA and tea leaf nitrogen content was defined on linear equation y = 1.8382x2 - 0.3099x + 3.0658 with determinant coefficient R² = 0.71.
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Ilmu Pertanian (Agricultural Science) ISSN 0126-4214 (print), ISSN 2527-7162 (online) is published by Faculty of Agriculture Universitas Gadjah Mada collaboration with Perhimpunan Sarjana Pertanian Indonesia (PISPI) and licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.