Ms. Fida Afdhalia Profile

Fida Afdhalia

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Proceedings Article | 24 December 2019 Paper

Detection of rice varieties based on spectral value data using UAV-based images

Fida Afdhalia, S. Supriatna, Iqbal Putut Ash Shidiq, Masita Dwi Mandini Manessa, Yoanna Ristya

Proceedings Volume 11372, 1137222 (2019) https://doi.org/10.1117/12.2541473

KEYWORDS: Vegetation, RGB color model, Remote sensing, Unmanned aerial vehicles, Agriculture

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Paddy is a strategic commodity in Indonesia. Paddy crop divided into hundreds of varieties with diverse characteristics. Therefore, information about the characteristics of each rice variety is needed. Also, several studies on the spectral characteristics of rice varieties have been carried out. These studies applied the vegetation indices approach to plant canopies. The aim of this study is detecting the spectral characteristics of rice varieties based on vegetation indices. Several vegetation indices, derived from Red, Green, Blue (RGB) bands, namely Excess Green Vegetation Index (ExG), Normalized Green Red Difference Index (NGRDI), and Visible Atmospherically Resistant Index (VARI). Paddy field image derived from Unmanned Aerial Vehicle (UAV) was carried out to analyzed three rice varieties namely Ciherang, IR 64, and IR 42. The result showed that three rice varieties in Bekasi Regency have diverse spectral characteristics. It evident from the spectral minimum-maximum value of each variety, especially using the NGRDI. Ciherang has the highest spectral value (at the beginning of growth) and IR 42 has the highest spectral value (at the middle and end of growth).

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