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Pullanagari Rajasheker Reddy
Pullanagari Rajasheker Reddy
Australian Plant Phenomics Facility (APPF), University of Adelaide
Verified email at adelaide.edu.au - Homepage
Title
Cited by
Cited by
Year
In-field hyperspectral proximal sensing for estimating quality parameters of mixed pasture
RR Pullanagari, IJ Yule, MP Tuohy, MJ Hedley, RA Dynes, WM King
Precision agriculture 13, 351-369, 2012
1482012
Integrating airborne hyperspectral, topographic, and soil data for estimating pasture quality using recursive feature elimination with random forest regression
RR Pullanagari, G Kereszturi, I Yule
Remote Sensing 10 (7), 1117, 2018
1252018
Mapping of macro and micro nutrients of mixed pastures using airborne AisaFENIX hyperspectral imagery
RR Pullanagari, G Kereszturi, IJ Yule
ISPRS Journal of Photogrammetry and Remote Sensing 117, 1-10, 2016
972016
On-line prediction of lamb fatty acid composition by visible near infrared spectroscopy
RR Pullanagari, IJ Yule, M Agnew
Meat Science 100, 156-163, 2015
672015
Quantitative prediction of post storage ‘Hayward’kiwifruit attributes using at harvest Vis-NIR spectroscopy
M Li, RR Pullanagari, T Pranamornkith, IJ Yule, AR East
Journal of Food Engineering 202, 46-55, 2017
652017
Field spectroscopy of canopy nitrogen concentration in temperate grasslands using a convolutional neural network
RR Pullanagari, M Dehghan-Shoar, IJ Yule, N Bhatia
Remote Sensing of Environment 257, 112353, 2021
632021
Proximal sensing of the seasonal variability of pasture nutritive value using multispectral radiometry
RR Pullanagari, IJ Yule, MP Tuohy, MJ Hedley, RA Dynes, WM King
Grass and Forage Science 68 (1), 110-119, 2013
612013
Integrating airborne hyperspectral imagery and LiDAR for volcano mapping and monitoring through image classification
G Kereszturi, LN Schaefer, WK Schleiffarth, J Procter, RR Pullanagari, ...
International Journal of Applied Earth Observation and Geoinformation 73 …, 2018
592018
Uncertainty assessment for firmness and total soluble solids of sweet cherries using hyperspectral imaging and multivariate statistics
RR Pullanagari, M Li
Journal of Food Engineering 289, 110177, 2021
472021
The use of optical sensors to estimate pasture quality
RR Pullanagari, I Yule, W King, D Dalley, R Dynes
International Journal on Smart Sensing and Intelligent Systems 4 (1), 125-137, 2011
432011
Automatic mapping of rice growth stages using the integration of sentinel-2, mod13q1, and sentinel-1
F Ramadhani, R Pullanagari, G Kereszturi, J Procter
Remote sensing 12 (21), 3613, 2020
382020
Multi-spectral radiometry to estimate pasture quality components
RR Pullanagari, IJ Yule, MJ Hedley, MP Tuohy, RA Dynes, WM King
Precision Agriculture 13, 442-456, 2012
372012
Assessing the performance of multiple spectral-spatial features of a hyperspectral image for classification of urban land cover classes using support vector machines and …
PG Reddy Pullanagari, Gábor Kereszturi, Ian J. Yule
Journal of Applied Remote Sensing 11 (2), 026009, 2017
322017
Hyperspectral imaging for identification of Zebra Chip disease in potatoes
AS Garhwal, RR Pullanagari, M Li, MM Reis, R Archer
biosystems engineering 197, 306-317, 2020
292020
The use of visible and near‐infrared spectroscopy for the analysis of soil water repellency
I Kim, RR Pullanagari, M Deurer, R Singh, KY Huh, BE Clothier
European journal of soil science 65 (3), 360-368, 2014
272014
Quantification of dead vegetation fraction in mixed pastures using AisaFENIX imaging spectroscopy data
RR Pullanagari, G Kereszturi, IJ Yule
International journal of applied earth observation and geoinformation 58, 26-35, 2017
222017
Mapping nutrient concentration in pasture using hyperspectral imaging
I Yule, R Pullanagari, M Irwin, P McVeagh, G Kereszturi, M White, ...
Journal of New Zealand Grasslands, 47-50, 2015
222015
Mapping of rice growth phases and bare land using Landsat-8 OLI with machine learning
F Ramadhani, R Pullanagari, G Kereszturi, J Procter
International Journal of Remote Sensing 41 (21), 8428-8452, 2020
212020
Lithological mapping of Waiotapu Geothermal Field (New Zealand) using hyperspectral and thermal remote sensing and ground exploration techniques
C Rodriguez-Gomez, G Kereszturi, R Reeves, A Rae, R Pullanagari, ...
Geothermics 96, 102195, 2021
202021
Use of reflectance sensors to optimise nutrient management
I Yule, R Pullanagari
Nutrient management in a rapidly changing world, proceedings of the …, 2009
132009
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Articles 1–20