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Drought Damage Assessment for Crop Insurance Based on Vegetation Index by Unmanned Aerial Vehicle (UAV) Multispectral Images of Paddy Fields in Indonesia

Authors :
Yu Iwahashi
Gunardi Sigit
Budi Utoyo
Iskandar Lubis
Ahmad Junaedi
Bambang Hendro Trisasongko
I Made Anom Sutrisna Wijaya
Masayasu Maki
Chiharu Hongo
Koki Homma
Source :
Agriculture, Vol 13, Iss 1, p 113 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

Drought is increasingly threatening smallholder farmers in Southeast Asia. The crop insurance system is one of the promising countermeasures that was implemented in Indonesia in 2015. Because the damage assessment in the present system is conducted through direct investigations based on appearance, it is not objective and needs a long time to cover large areas. In this study, we investigated a rapid assessment method for paddy fields using a vegetation index (VI) taken by an unmanned aerial vehicle (UAV) with a multispectral camera in 2019 and 2021. Then, two ways of assessment for drought damage were tested: linear regression (LR) based on a visually assessed drought level (DL), and k-means clustering without an assessed DL. As a result, EVI2 could represent the damage level, showing the tendency of the decrease in the value along with the increasing DL. The estimated DL by both methods mostly coincided with the assessed DL, but the concordance rates varied depending on the locations and the number of assessed fields. Differences in the growth stage and rice cultivars also affected the results. This study revealed the feasibility of the UAV-based rapid and objective assessment method. Further data collection and analysis would be required for implementation in the future.

Details

Language :
English
ISSN :
20770472
Volume :
13
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Agriculture
Publication Type :
Academic Journal
Accession number :
edsdoj.f9d3d63065984972bf75a10756c1e64a
Document Type :
article
Full Text :
https://doi.org/10.3390/agriculture13010113