Estimation of BLB (Bacterial leaf blight) Disease Attack Intensity on Rice Plant through Multispectral Image Approach

Authors

  • Gusti Bagus Eka Chandra Program Studi Teknik Pertanian, Fakultas Teknologi Pertanian Universitas Udayana
  • I Made Anom S. Wijaya Program Studi Teknik Pertanian, Fakultas Teknologi Pertanian Universitas Udayana
  • Yohanes Setiyo Program Studi Teknik Pertanian, Fakultas Teknologi Pertanian Universitas Udayana

DOI:

https://doi.org/10.24843/JBETA.2020.v08.i02.p18

Keywords:

Intensity of attack, Multispectral, Estimation,, BLB disease.

Abstract

Bacterial Leaf Blight (BLB) is a disease that is dangerous for rice plants. This disease can attack in every phase of growth. Calculation of BLB disease attack intensity is currently still used manually method. Technology development is needed in estimating the intensity of BLB disease through multispectral imagery. This study aims (1) to get the best correlation value between the intensity of BLB disease attack with multispectral image parameters (2) to get the equation for estimating the intensity of BLB based on multispectral images parameter. Drone DJI Inspire 1 with a multispectral camera is used to captured the paddy field. The captured images was processed using Agisoft Photoscan and QGIS 3.8 software. Based on the results of the acquisition, multispectral images produce red, NIR, green, red edge, RGB band images which were then transformed into NDVI, EVI, and NDRE images. Of the three
multispectral image parameters, NDVI values have a stronger correlation level with a determination coefficient of 97.5% and produce the following linear equation y = -419.6 + 169.3. In calculating the NDVI parameter error value has the lowest error value compared to the EVI and NDRE parameters which is 4.64% with an accuracy estimate of 95.36%. Multispectral imagery can be used in estimating the intensity of BLB disease attacks in rice plants because it produces a very strong correlation value, and high estimation accuracy with a low error value does not exceed 10%.

References

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Published

2026-02-03

How to Cite

Chandra, G. B. E., Wijaya, I. M. A. S., & Setiyo, Y. (2026). Estimation of BLB (Bacterial leaf blight) Disease Attack Intensity on Rice Plant through Multispectral Image Approach. Jurnal BETA (Biosistem Dan Teknik Pertanian), 8(2), 338–345. https://doi.org/10.24843/JBETA.2020.v08.i02.p18

Issue

Vol. 8 No. 2 (2020): September

Section

Articles

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