CIE Lab 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

• Published in: Ilmu pertanian Vol. 4; no. 1; pp. 46 - 51
• Main Authors: Wahono, Wahono, Indradewa, Didik, Sunarminto, Bambang Hendro, Haryono, Eko, Prajitno, Djoko
• Format: Journal Article
• Language: English
• Published: Universitas Gadjah Mada 29.05.2019
• Subjects: Nitrogen fertilizing; unmanned aerial vehicle; visible light spectrum
• ISSN: 0126-4214; 2527-7162
• DOI: 10.22146/ipas.40693

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.