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Detection of Rice Panicle Blast with Multispectral Radiometer and the Potential of Using Airborne Multispectral Scanners

March 2001 , Volume 91 , Number  3
Pages  316 - 323

T. Kobayashi , E. Kanda , K. Kitada , K. Ishiguro , and Y. Torigoe

First, second, fourth, and fifth authors: Department of Integrated Research for Agriculture, Tohoku National Agricultural Experiment Station, Morioka 020-0198, Japan; and third author: Nakanihon Air Service Co., Ltd., Tokyo 104-0061, Japan


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Accepted for publication 10 November 2000.
ABSTRACT

Rice reflectance was measured to determine the spectral regions most sensitive to panicle blast infection. Reflectance increased in the 430- to 530-, 580- to 680-, and 1,480- to 2,000-nm regions at the dough stage both in the laboratory and the field as the percentage of diseased spikelets increased. The wavebands of the greatest sensitivity were in the visible region, located near 485 and 675 nm. After the yellow-ripe growth stage, near-infrared rather than visible reflectance responded to panicle blast infections. Ratios of rice reflectance were evaluated as indicators of panicle blast. R470/R570 (reflectance at 470 nm divided by reflectance at 570 nm), R520/R675, and R570/R675 decreased significantly as the incidence of panicle blast increased at the dough stage. At the yellow-ripe stage, R550/R970 and R725/R900 were used to estimate panicle blast severity as measured in terms of the percentage of diseased spikelets. According to the simulation that uses ground-based sensor data, airborne multispectral scanners may be effective in detecting the occurrence of panicle blast using a band combination of 530- to 570- and 650- to 700-nm regions at the dough stage.


Additional keywords: Magnaporthe grisea , measurement condition , remote sensing .

© 2001 The American Phytopathological Society