
Dr Reddy Pullanagari
Grant-Funded Researcher (C)
School of Agriculture, Food and Wine
Faculty of Sciences, Engineering and Technology
Eligible to supervise Masters and PhD - email supervisor to discuss availability.
Dr. Reddy was born and raised in Mahabubnagar, Telangana, India, within a family deeply connected to farming. Dr. Reddy embarked on his academic journey by enrolling in Acharya NG Ranga Agriculture University (currently known as Prof. Jayashankar Agriculture University) in Hyderabad, India, where he earned a B.Sc. in Agriculture. This foundational degree provided him with a comprehensive understanding of agricultural principles and practices. After that he pursued an M.Sc. in Agronomy from University of Agriculture Sciences, GKVK Bangalore, India.
Seeking new opportunities and experiences, Dr. Reddy made the decision to migrate to New Zealand. He enrolled in a Ph.D. program in Precision Agriculture at Massey University. Upon the successful completion of his Ph.D., joined the university as a scientist, he focused on developing precision agricultural technologies in grasslands and horticulture areas. Dr. Reddy's primary goal was to support farmers in enhancing their food production capabilities while minimizing the environmental impact of their operations. His work aimed to find innovative solutions to address the challenges faced by the agricultural industry in a rapidly changing world.
In 2023, Dr. Reddy seized an exciting opportunity to expand his horizons by moving to Australia and joining the prestigious Australian Plant Phenomics Facility. This transition allowed him to collaborate with experts in the field of plant phenotyping, further deepening his understanding of how plants respond to different environmental stimuli and stressors.
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Appointments
Date Position Institution name 2023 - ongoing Grant-Funded Researcher (C), Technology and Development Lead University of Adelaide 2022 - 2023 Senior Scientist Stoneleigh Consulting Limited 2021 - 2022 Principal Scientist PlantTech Research Institute 2019 - 2021 Senior Research Officer Massey University 2012 - 2019 Research Officer Massey University -
Language Competencies
Language Competency English Can read, write, speak, understand spoken and peer review Hindi Can read, write, speak and understand spoken Telugu Can read, write, speak, understand spoken and peer review -
Education
Date Institution name Country Title 2012 Massey University New Zealand PhD -
Research Interests
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Journals
Year Citation 2023 Rodriguez-Gomez, C., Kereszturi, G., Whitehead, M., Reeves, R., Rae, A., & Pullanagari, R. (2023). Point pattern analysis of thermal anomalies in geothermal fields and its use for inferring shallow hydrological processes. Geothermics, 110, 14 pages.
2023 Dehghan-Shoar, M. H., Pullanagari, R. R., Kereszturi, G., Orsi, A. A., Yule, I. J., & Hanly, J. (2023). A Unified Physically Based Method for Monitoring Grassland Nitrogen Concentration with Landsat 7, Landsat 8, and Sentinel-2 Satellite Data. Remote Sensing, 15(10), 21 pages.
2023 Dehghan-Shoar, M. H., Pullanagari, R. R., Orsi, A. A., & Yule, I. J. (2023). Simulating spaceborne imaging to retrieve grassland nitrogen concentration. Remote Sensing Applications: Society and Environment, 29, 100912.
Scopus12023 Dehghan-Shoar, M. H., Orsi, A. A., Pullanagari, R. R., & Yule, I. J. (2023). A hybrid model to predict nitrogen concentration in heterogeneous grassland using field spectroscopy. Remote Sensing of Environment, 285, 12 pages.
Scopus4 WoS42023 Rodriguez-Gomez, C., Kereszturi, G., Jeyakumar, P., Pullanagari, R., Reeves, R., Rae, A., & Procter, J. N. (2023). Remote exploration and monitoring of geothermal sources: A novel method for foliar element mapping using hyperspectral (VNIR-SWIR) remote sensing. Geothermics, 111, 17 pages.
2022 Li, M., Pullanagari, R., Yule, I., & East, A. (2022). Segregation of ‘Hayward’ kiwifruit for storage potential using Vis-NIR spectroscopy. Postharvest Biology and Technology, 189, 13 pages.
Scopus3 WoS32022 Chakraborty, R., Kereszturi, G., Pullanagari, R., Durance, P., Ashraf, S., & Anderson, C. (2022). Mineral prospecting from biogeochemical and geological information using hyperspectral remote sensing - Feasibility and challenges. Journal of Geochemical Exploration, 232, 15 pages.
Scopus9 WoS92021 Zulkifli, Z., Khairunniza-Bejo, S., Muharam, F. M., Yule, I., Pullanagari, R., Dan, L., & Abdulllah, W. N. Z. Z. (2021). Biomass and yield estimation of MR219 and MR220 of paddy varieties using terrestrial laser scanning data. Basrah Journal of Agricultural Sciences, 34(Special issue 1), 54-62.
Scopus12021 Rodriguez-Gomez, C., Kereszturi, G., Reeves, R., Rae, A., Pullanagari, R., Jeyakumar, P., & Procter, J. (2021). Lithological mapping of Waiotapu Geothermal Field (New Zealand) using hyperspectral and thermal remote sensing and ground exploration techniques. Geothermics, 96, 1-15.
Scopus13 WoS122021 Pullanagari, R. R., & Li, M. (2021). Uncertainty assessment for firmness and total soluble solids of sweet cherries using hyperspectral imaging and multivariate statistics. Journal of Food Engineering, 289, 1-11.
Scopus37 WoS332021 Bhatia, N., Pullanagari, R. R., & Cumming, G. S. (2021). Propagation of atmospheric condition parameter uncertainty in measurements of landscape heterogeneity. International Journal of Remote Sensing, 42(21), 8345-8364.
2021 Pullanagari, R. R., Dehghan-Shoar, M., Yule, I. J., & Bhatia, N. (2021). Field spectroscopy of canopy nitrogen concentration in temperate grasslands using a convolutional neural network. Remote Sensing of Environment, 257, 1-15.
Scopus45 WoS422021 Ramadhani, F., Pullanagari, R., Kereszturi, G., & Procter, J. (2021). Mapping a Cloud-Free Rice Growth Stages Using the Integration of PROBA-V and Sentinel-1 and Its Temporal Correlation with Sub-District Statistics. Remote Sensing, 13(8), 1-21.
Scopus6 WoS22020 Ramadhani, F., Pullanagari, R., Kereszturi, G., & Procter, J. (2020). Automatic Mapping of Rice Growth Stages Using the Integration of SENTINEL-2, MOD13Q1, and SENTINEL-1. Remote Sensing, 12(21), 3613.
Scopus27 WoS202020 Garhwal, A. S., Pullanagari, R. R., Li, M., Reis, M. M., & Archer, R. (2020). Hyperspectral imaging for identification of Zebra Chip disease in potatoes. Biosystems Engineering, 197, 306-317.
Scopus20 WoS192020 Ramadhani, F., Pullanagari, R., Kereszturi, G., & Procter, J. (2020). Mapping of rice growth phases and bare land using Landsat-8 OLI with machine learning. International Journal of Remote Sensing, 41(21), 8428-8452.
Scopus15 WoS122018 Kereszturi, G., Schaefer, L. N., Schleiffarth, W. K., Procter, J., Pullanagari, R. R., Mead, S., & Kennedy, B. (2018). Integrating airborne hyperspectral imagery and LiDAR for volcano mapping and monitoring through image classification. International Journal of Applied Earth Observation and Geoinformation, 73, 323-339.
Scopus48 WoS432018 Pullanagari, R. R., Kereszturi, G., & Yule, I. (2018). Integrating airborne hyperspectral, topographic, and soil data for estimating pasture quality using recursive feature elimination with random forest regression. Remote Sensing, 10(7), 14 pages.
Scopus88 WoS732017 Pullanagari, R. R., Kereszturi, G., & Yule, I. J. (2017). Quantification of dead vegetation fraction in mixed pastures using AisaFENIX imaging spectroscopy data. International Journal of Applied Earth Observation and Geoinformation, 58, 26-35.
Scopus15 WoS152017 Li, M., Pullanagari, R. R., Pranamornkith, T., Yule, I. J., & East, A. R. (2017). Quantitative prediction of post storage ‘Hayward’ kiwifruit attributes using at harvest Vis-NIR spectroscopy. Journal of Food Engineering, 202, 46-55.
Scopus47 WoS37 Europe PMC12017 Li, M., Pullanagari, R. R., Pranamornkith, T., Yule, I. J., & East, A. R. (2017). Applying visible-near infrared (Vis-NIR) spectroscopy to classify 'Hayward' kiwifruit firmness after storage. Acta Horticulturae, 1154(1154), 1-7.
WoS12017 Pullanagari, R., Kereszturi, G., Yule, I. J., & Ghamisi, P. (2017). Assessing the performance of multiple spectral-spatial features of a hyperspectral image for classification of urban land cover classes using support vector machines and artificial neural network. Journal of Applied Remote Sensing, 11(2), 22 pages.
Scopus23 WoS212016 Pullanagari, R. R., Kereszturi, G., & Yule, I. J. (2016). Mapping of macro and micro nutrients of mixed pastures using airborne AisaFENIX hyperspectral imagery. ISPRS Journal of Photogrammetry and Remote Sensing, 117, 1-10.
Scopus62 WoS592015 Pullanagari, R. R., Yule, I. J., & Agnew, M. (2015). Corrigendum to "On-line prediction of lamb fatty acid composition by visible near infrared spectroscopy" [Meat Science 100 (2014) 156-163]. Meat Science, 105, 136.
2015 Pullanagari, R. R., Yule, I. J., & Agnew, M. (2015). On-line prediction of lamb fatty acid composition by visible near infrared spectroscopy. Meat Science, 100, 156-163.
Scopus53 WoS42 Europe PMC52014 Kim, I., Pullanagari, R. R., Deurer, M., Singh, R., Huh, K. Y., & Clothier, B. E. (2014). The use of visible and near-infrared spectroscopy for the analysis of soil water repellency. European Journal of Soil Science, 65(3), 360-368.
Scopus14 WoS14 Europe PMC22013 Pullanagari, R. R., Yule, I. J., Tuohy, M. P., Hedley, M. J., Dynes, R. A., & King, W. M. (2013). Proximal sensing of the seasonal variability of pasture nutritive value using multispectral radiometry. Grass and Forage Science, 68(1), 110-119.
Scopus32 WoS302012 Pullanagari, R. R., Yule, I. J., Hedley, M. J., Tuohy, M. P., Dynes, R. A., & King, W. M. (2012). Multi-spectral radiometry to estimate pasture quality components. Precision Agriculture, 13(4), 442-456.
Scopus19 WoS192012 Pullanagari, R. R., Yule, I. J., Tuohy, M. P., Hedley, M. J., Dynes, R. A., & King, W. M. (2012). In-field hyperspectral proximal sensing for estimating quality parameters of mixed pasture. Precision Agriculture, 13(3), 351-369.
Scopus98 WoS842011 Pullanagari, R. R., Yule, I., King, W., Dalley, D., & Dynes, R. (2011). The use of optical sensors to estimate pasture quality. International Journal on Smart Sensing and Intelligent Systems, 4(1), 125-137.
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Book Chapters
Year Citation 2012 Yule, I., & Pullanagari, R. (2012). Optical sensors to assist agricultural crop and pasture management. In Lecture Notes in Electrical Engineering (Vol. 146 LNEE, pp. 21-32). Springer Berlin Heidelberg.
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Conference Papers
Year Citation 2021 Rodriguez-Gomez, C., Kereszturi, G., Reeves, R., Mead, S., Pullanagari, R., Rae, A., & Jeyakumar, P. (2021). Mapping Antimony Concentration over Geothermal Areas Using Hyperspectral and Thermal Remote Sensing. In International Geoscience and Remote Sensing Symposium (IGARSS) (pp. 1086-1089). Online: IEEE.
2021 Chakraborty, R., Kereszturi, G., Durance, P., Pullanagari, R., Ashraf, S., & Anderson, C. (2021). Biogeochemical Exploration of Gold Mineralization and its Pathfinder Elements Using Hyperspectral Remote Sensing. In International Geoscience and Remote Sensing Symposium (IGARSS) (pp. 5119-5122). Online: IEEE.
Scopus1 WoS12018 Pullanagari, R. R., Kereszturi, G., Yule, I. J., & Irwin, M. (2018). Determining uncertainty prediction map of copper concentration in pasture from hyperspectral data using qunatile regression forest. In International Geoscience and Remote Sensing Symposium (IGARSS) Vol. 2018-July (pp. 3809-3811). Valencia, SPAIN: IEEE.
Scopus5 WoS42018 Kereszturi, G., Pullanagari, R. R., Mead, S., Schaefer, L. N., Procter, J., Schleiffarth, W. K., & Kennedy, B. (2018). Geological mapping of hydrothermal alteration on volcanoes from multi-sensor platforms. In International Geoscience and Remote Sensing Symposium (IGARSS) Vol. 2018-July (pp. 220-223). Valencia, SPAIN: IEEE.
Scopus4 WoS22016 Yule, I. J., Pullanagari, R. R., & Kereszturi, G. (2016). Detecting subtle environmental change: A multi-Temporal airborne imaging spectroscopy approach. In C. M. U. Neale, & A. Maltese (Eds.), Proceedings of SPIE - The International Society for Optical Engineering Vol. 9998 (pp. 7 pages). Edinburgh, SCOTLAND: SPIE-INT SOC OPTICAL ENGINEERING.
Scopus12015 Pullanagari, R. R., Kereszturi, G., Yule, I. J., & Irwin, M. E. (2015). Determination of pasture quality using airborne hyperspectral imaging. In C. M. U. Neale, & A. Maltese (Eds.), Proceedings of SPIE - The International Society for Optical Engineering Vol. 9637 (pp. 5 pages). Toulouse, FRANCE: SPIE-INT SOC OPTICAL ENGINEERING.
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Recently finished Grants:
A 3D model of radiation transport to enable high yield photosynthetic efficient crops (2021-23) Link, PI, Funded by MBIE, New Zealand (≈ 1 million NZD).
Pioneering to Precision (2012-22), PGP, Application of Fertiliser in Hill Country Link, Research Champion, Funded by Ministry of Primary Industries and Ravensdown, New Zealand (>11 million NZD).
Mapping fruit quality of Kiwifruit, Apple, and Avocado orchards using airborne remote sensing. 2020-2022, PI, Funded by Plantech Research Institute and MBIE, New Zealand.
Modelling pasture data at farm-scale (2021-2023) Link, PI, Funded by MPI, NZ (NZD 299,902).
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