Assessment of Aphid Infestation in Mustard by Hyperspectral Remote Sensing
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RESEARCH ARTICLE
Assessment of Aphid Infestation in Mustard by Hyperspectral Remote Sensing Jitendra Kumar & Ananta Vashisth & V. K. Sehgal & V. K. Gupta
Received: 24 February 2011 / Accepted: 20 February 2012 / Published online: 20 March 2012 # Indian Society of Remote Sensing 2012
Abstract Field experiment was conducted during 2009–10 and 2010–11 rabi season at research farm of IARI, New Delhi for assessing the aphid infestation in mustard. In aphid infested plant the LAI was 67 to 94% lower than healthy plant. Chlorophyll concentration decreased to 50% in infested plant as compared to healthy plant. Infestation was more severe in late sown crop and due to aphid infestation the percentage oil content and yield was reduced significantly. The spectral reflectance of aphid infested canopy and healthy canopy taken in the laboratory had significant difference in NIR region. In the visible region, the reflectance peak occurred in healthy canopy at around 550– 560 nm while this peak was lower by 31% in the aphid infested canopy. The reflectance for healthy crop was found to be more in visible as well as NIR region as compared to aphid infested canopy. The most significant spectral bands for the aphid infestation in mustard are in visible (550–560 nm) and near infrared regions (700–1250 nm and 1950–2450 nm). The different level of aphid infestation can be identified in 1950– 2450 nm spectral regions. Spectral indices viz NDVI, RVI, AI and SIPI had significant correlation with J. Kumar : A. Vashisth (*) : V. K. Sehgal : V. K. Gupta Division of Agricultural Physics, Indian Agricultural Research Institute, New Delhi 110012, India e-mail: [email protected]
aphid infestation. Hence these indices could be used for identifying aphid infestation in mustard. Keywords Mustard . Aphid . Hyperspectral remote sensing Vegetation index . AI . NDVI . SIPI . RVI
Introduction Mustard is a major oilseed crop grown during rabi season. Though India occupies a major position in the acreage and production of mustard in the world, the average yield per hectare is low as compared to other mustard growing countries. One major reason for this low yield is aphid infestation which causes reduction in yield. This harmful organism reduces the quality and quantity of seeds. It is difficult to predict the onset, spread and development of aphid infestation. Hence, more systematic study on aphid infestation is necessary to quantify the relationship of the aphid infestation and crop growth. Hyperspectral remote-sensing approach, using remotely sensed reflectance for many continuous narrow wavelength bands, has been proposed for various aspects of crop management such as the identification and classification of plant species, yield estimation, as well as estimation of different crop bio-physical and bio-chemical parameters. Affect of pests and disease status on the spectral properties of the crop can be used
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to control site-specific application of insecticide (Pinter et al. 2003). The structure and physiological status of a crop controls incide
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