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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

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


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.


Nitrogen fertilizing; unmanned aerial vehicle; visible light spectrum

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