Evaluating Multispectral Imaging for Assessing Bacterial Leaf Blight Damage in Indonesian Agricultural Insurance

Yuti Giamerti, Chiharu Hongo, Daiki Saito, Oliver Caasi, Pepi Nur Susilawati, Masahiro Shishido, I. Putu Sudiarta, I. Made Anom Sutrisna Wijaya, Koki Homma

研究成果: Conference article査読

抄録

Bacterial Leaf Blight (BLB) is one of the main diseases in Indonesia that causes a 90% reduction in grain weight. Multispectral imaging may be used as a quick and effective method for damage assessment and is expected to utilize on agricultural insurance in Indonesia. Data were collected at the rainy season and dry season 2018 in Farmers rice field at Bali Province. Vegetation indices (NDVI, GNDVI, and VARIred-edge) was analyzed using QGIS 2.18 from multispectral images. Some vegetation index shows positive correlation with SPAD and negative correlation with DSI (%). VARIred-edge has a higher relationship with DSI (R2: 0.8443) than NDVI (R2: 0.8291) and GNDVI (R2: 0.5463) at the average value on each location, but the relation seems to be affected by that relation between SPAD and LAI. Further data and analysis are required.

本文言語English
論文番号03008
ジャーナルE3S Web of Conferences
232
DOI
出版ステータスPublished - 2021 1 25
イベント2020 International Conference on Agribusiness and Rural Development, IConARD 2020 - Yogyakarta, Indonesia
継続期間: 2020 10 132020 10 14

ASJC Scopus subject areas

  • 環境科学(全般)
  • エネルギー(全般)
  • 地球惑星科学(全般)

フィンガープリント

「Evaluating Multispectral Imaging for Assessing Bacterial Leaf Blight Damage in Indonesian Agricultural Insurance」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル