TY - GEN
T1 - Detection of rice varieties based on spectral value data using UAV-based images
AU - Afdhalia, Fida
AU - Supriatna, S.
AU - Shidiq, Iqbal Putut Ash
AU - Manessa, Masita Dwi Mandini
AU - Ristya, Yoanna
N1 - Publisher Copyright:
© 2019 SPIE.
PY - 2019/1/1
Y1 - 2019/1/1
N2 - 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).
AB - 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).
KW - Rice Varieties
KW - Spectral Characteristics
KW - UAV
KW - Vegetation Indices
UR - http://www.scopus.com/inward/record.url?scp=85079209860&partnerID=8YFLogxK
U2 - 10.1117/12.2541473
DO - 10.1117/12.2541473
M3 - Conference contribution
AN - SCOPUS:85079209860
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Sixth International Symposium on LAPAN-IPB Satellite, LISAT 2019
A2 - Setiawan, Yudi
A2 - Prasetyo, Lilik Budi
A2 - Murayama, Yuji
A2 - Kanniah, Kasturi Devi
A2 - Perez, Gay Jane
A2 - Dat, Pham Tien
PB - SPIE
T2 - 6th International Symposium on LAPAN-IPB Satellite, LISAT 2019
Y2 - 17 September 2019 through 18 September 2019
ER -