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Hyperspectral Remote Sensing Detection of Root-Knot Nematode Infestation in Mungbean under Various Management Strategies

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Title Hyperspectral Remote Sensing Detection of Root-Knot Nematode Infestation in Mungbean under Various Management Strategies
 
Creator Waghmare, Chandramani D
 
Subject Inoculum level
Nematode
Spectral reflectance
Spectroradiometer
Wavelength
 
Description 309-314
In response to the pervasive threat of Meloidogyne incognita infestation in mungbean crops, this study explores the
application of hyperspectral remote sensing methodology to detect and assess root-knot nematode presence, while
investigating the efficacy of diverse management strategies. Spectral remote sensing was used to record the reflectance
pattern of the Root-knot nematode (RKN), M. incognita infestation on mungbean plants under various management methods
under glasshouse pot conditions. Leaf reflectance was measured on plant canopies of mungbean which revealed that
reflectance varies with different inoculum levels of root-knot nematode. The spectral reflectance pattern was maximum at
the highest inoculum level of 6000 J2/ pot with respect to the wavelength of 250–750 nm and minimum at 0 inoculum level
or 100 J2/ pot corresponding to a wavelength of 800–1600 nm. In response to nematode management, mungbean plant
canopy reflectance showed that at a lower wavelength of 350–750 nm, spectral reflectance were mixed and can be
determined easily for low or high pattern. However, at wavelengths >800–1600 nm, the lowest and median reflectance was
found with carbofuran 3G @ 1 kg a.i/ha and 2 kg a.i/ha, respectively. Similarly, high and low reflectance pattern for
Trichoderma harzianum was observed at the concentration of 2 and 1% (w/w) respectively but the reflectance pattern was
similar for neem seed oil at two different concentrations of 1 and 2% (v/w). The highest reflectance was observed with
untreated un-inoculated control. The valuable information on the use of hyperspectral data gathered from the hand-held
spectrometer and small unmanned aerial systems for large-scale mapping of the root-knot nematode infestation could be
possible. Hence, the effect of M. incognita on the root system of mungbean can be non-invasively diagnosed by using
hyperspectral data at the early growth stage of aerial plant canopy.
 
Date 2024-03-06T11:29:53Z
2024-03-06T11:29:53Z
2024-03
 
Type Article
 
Identifier 0022-4456 (Print); 0975-1084 (Online)
http://nopr.niscpr.res.in/handle/123456789/63539
https://doi.org/10.56042/jsir.v83i3.3662
 
Language en
 
Publisher NIScPR-CSIR, India
 
Source JSIR Vol.83(3) [March 2024]