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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

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).

Original languageEnglish
Title of host publicationSixth International Symposium on LAPAN-IPB Satellite, LISAT 2019
EditorsYudi Setiawan, Lilik Budi Prasetyo, Yuji Murayama, Kasturi Devi Kanniah, Gay Jane Perez, Pham Tien Dat
PublisherSPIE
ISBN (Electronic)9781510635159
DOIs
Publication statusPublished - 1 Jan 2019
Event6th International Symposium on LAPAN-IPB Satellite, LISAT 2019 - Bogor, Indonesia
Duration: 17 Sep 201918 Sep 2019

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11372
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference6th International Symposium on LAPAN-IPB Satellite, LISAT 2019
CountryIndonesia
CityBogor
Period17/09/1918/09/19

Keywords

  • Rice Varieties
  • Spectral Characteristics
  • UAV
  • Vegetation Indices

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