Abstract

ABSTRACTPotted experiments of rice (Oryza sativa L.) plants were conducted to produce various scales of brown planthopper [Nilaparvata lugens (Stål), Homoptera:Delphacidae] and leaffolder [Cnaphalocrosis medinalis Guenee (Lep., Pyralidae)] infestations, respectively, for canopy hyperspectral reflectance measurements, and then to identify spectral characteristics (SCs) associated with insect infestations leading to the establishment of spectral models for severity assessment. By linear correlation intensity analysis, correlation coefficients (r) along the spectral domain of 350 to 2400 nm were determined and narrow bands related to infestation severity were selected as SCs. The reflectance at green light (490–560 nm) maximum (RGREEN), red light (640–740 nm) minimum (RRED), and near‐infrared (740–1300 nm) peak (RNIR) were also considered. For canopies infested with brown planthopper, r value at 426 nm was the highest (r = 0.878**). Among the calculated spectral indices using two SCs, the determination coefficient of RNIR/RRED ratio was the highest (R2 = 0.922, P < 0.001). For leaffolder infested canopies, the most negative r value located at 757 nm (r = −0.613*) in active tillering stage but shifted to 445 nm (r = −0.928**) in heading stage. The index RNIR − RRED in the active tillering increased R2 value to 0.422 (P < 0.001), while no increase in R2 was found in the examined SIs in heading stage. Models with more than two SCs yielded from multiple linear regression analysis exhibited a further improvement for discriminating infestation severity.

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