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

Research output: Contribution to journalConference articlepeer-review

Abstract

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.

Original languageEnglish
Article number03008
JournalE3S Web of Conferences
Volume232
DOIs
Publication statusPublished - 2021 Jan 25
Event2020 International Conference on Agribusiness and Rural Development, IConARD 2020 - Yogyakarta, Indonesia
Duration: 2020 Oct 132020 Oct 14

ASJC Scopus subject areas

  • Environmental Science(all)
  • Energy(all)
  • Earth and Planetary Sciences(all)

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