Effect of temperature on brown planthopper infestation in rice using hyperspectral remote sensing

被引:0
|
作者
Sivaranjani, S. [1 ]
Geethalakshmi, V. [1 ]
Kennedy, J. S. [1 ]
Ramanathan, S. P. [1 ]
Gowtham, R. [2 ]
Pugazenthi, K. [1 ]
机构
[1] Tamil Nadu Agr Univ, Coimbatore 641003, India
[2] Indian Farmers Fertilizers Cooperat Ltd, Coimbatore 641003, India
来源
CURRENT SCIENCE | 2023年 / 124卷 / 10期
关键词
Brown planthopper; hyperspectral sensor; plant stress; rice; vegetation indices; NILAPARVATA-LUGENS STAL; LEAF;
D O I
10.18520/cs/v124/i10/1194-1200
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Hyperspectral remote sensing captures images in multi-ple wavelengths and is widely used to detect plant stress in agriculture. A study was conducted on brown plant -hopper (BPH) infestation in rice at various temperature regimes (15 degrees C, 20 degrees C, 25 degrees C, 30 degrees C and 35 degrees C). The experi-mentation was done in the Environmental Control Chamber, Tamil Nadu Agricultural University, Coimba-tore, India. The field spectroradiometer and vegetation indices were used to study the early and late infesta-tions of BPH in rice. The results reveal that reflectance at certain wavelengths (550, 670 and 700 nm) indicates plant stress. Among the vegetation indices, MCARI performed better than NDVI, PRI, NDRE and SR for the detection of early and late infestation of BPH. Hence, hyperspectral reflectance from rice has been used to detect pest damage and improve management policies.
引用
收藏
页码:1194 / 1200
页数:7
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