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

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 rain...

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Bibliographic Details
Published in:E3S web of conferences 2021-01, Vol.232, p.3008
Main Authors: Giamerti, Yuti, Hongo, Chiharu, Saito, Daiki, Caasi, Oliver, Nur Susilawati, Pepi, Shishido, Masahiro, Sudiarta, I Putu, Sutrisna Wijaya, I Made Anom, Homma, Koki
Format: Article
Language:English
Subjects:
Blight
Damage assessment
Dry season
Insurance
Leaf blight
Leaves
Rainy season
Vegetation
Vegetation index
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Summary: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 VARI red-edge ) was analyzed using QGIS 2.18 from multispectral images. Some vegetation index shows positive correlation with SPAD and negative correlation with DSI (%). VARI red-edge has a higher relationship with DSI (R 2 : 0.8443) than NDVI (R 2 : 0.8291) and GNDVI (R 2 : 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.
ISSN:2267-1242
2555-0403
2267-1242
DOI:10.1051/e3sconf/202123203008