Professor Andrew Robson

Director of the Applied Agricultural Remote Sensing Centre (AARSC) - Applied Agricultural Remote Sensing Centre

Andrew Robson

Phone: +61 2 6773 4085

Mobile: +61 417 322 137

Email: arobson7@une.edu.au

Biography

Professor Andrew Robson has been involved in agricultural research since 1996, with the majority of that time developing spatial applications (remote sensing/GIS) across many agricultural and horticultural farming systems both nationally and internationally.

Following an early career as a rice physiologist with NSW Department of Primary Industries, and subsequently many years of employment with the Qld state counterpart, Professor Robson established, and is now the Director of the Applied Agricultural Remote Sensing Centre (AARSC) based at UNE. He, with his team work on a diverse range of research projects that develop and validate remote sensing technologies for many agricultural industries including peanut, grains, cotton, sugar, rice, avocados, mangoes, bananas, macadamias, olive, citrus, carrots, vegetables, pineapples and pastures. These research projects have attracted funding from many sources including state and federal government agencies, RDCs, CRCs and directly from industry. Throughout his career Prof. Robson has developed an extensive network of collaborators that together have set a new standard in the successful integration of industry, research and commercial partners for the delivery of multi industry national strategies, producing outcomes that have to a large extent have been adopted by industry. This has been demonstrated through the successful funding and delivery of projects such as the two national projects in Horticultural tree crops, funded by the Federal governments ’Rural R&D for profit’ scheme and Horticulture Innovation.

Academically, Professor Robson has achieved a high number of publications, presentations and awards relevant to the field of agricultural remote sensing and is a Fellow of the Royal Society of New South Wales. Prof. Robson is considered by many peers to be a leader in the field of agricultural remote sensing as well as the development and delivery of national collaborative initiates in both agriculture and horticulture

“I have a strong passion for agriculture, not only in terms of delivering strong research, but also to ensure outcomes are of industry relevance. I am strong believer of industry engagement from project inception through to the delivery of practical and adoptable outcomes. This engagement ensures the research is wanted, addresses an industry issue and as such worthy of receiving industry funds. I am also a strong believer of collaboration and the need to engage multidisciplinary teams with the skills, knowledge and proven track record for delivering solid research outcomes”.

Qualifications

AssocDipEnvSc CIT, BSc CSU, PhD UQ, FRSN

  • PhD: University of Queensland. 2007. Title of dissertation: ‘Remote Sensing applications for the determination of Yield, Maturity and Aflatoxin contamination within Peanut’. (Supervised by Prof. Stuart Phinn and Dr Graeme Wright)
  • Bachelor of Science: Environmental Science, majoring in GIS/remote sensing. 2002. Charles Sturt University. New South Wales.
  • Associate Diploma: Environmental Science, majoring in GIS/remote sensing. 1997. Canberra Institute of Technology. Australian Capital Territory.

Awards

  • 2021: Australian  Macadamia Society 2021 Innovation Award 
  • 2021: Finalist  Excellence in Industry Engagement - Engagement Australia Awards 2021
  • 2021: Hort Connections Award Finalist - National Awards for Excellence
  • 2020: Maxar Technologies "Best Organisation in Imagery Application"
  • 2016: ‘Poggendorff Lecture Award’ Royal Society of New South Wales for contribution to Agriculture, in particular remote sensing.
  • 2016: Presidents medal for best research paper presented at the 2016 annual ‘Australian Society of Sugar Cane Technologists’ conference. Mackay, Qld.
  • 2014: Presidents medal for best research paper presented at the 2014 annual ‘Australian Society of Sugar Cane Technologists’ conference. Gold Coast, Qld.
  • 2005 (July): First Place Winner of the RSI ENVI Challenge (International competition for the best application using ENVI Remote Sensing software).

Primary Research Area/s

Agriculture Remote sensing; Spatial analysis; Plant biosecurity

Research Interests

Project Involvement

  • Project Developer, Principal Researcher on the Rural Research and Development for Profit Project (co- funded by Horticulture innovation Australia) titled ‘Multi-scale Monitoring Tools for Managing Australian Tree Crops - Industry Meets Innovation: Phase 2’. (2019- 2022) ($9 Million).

    • Project collaborators include: The University of Queensland, Central Queensland University, Queensland Department of Environment and Science, NT Department of Primary Industry and Resources, Queensland Department of Agriculture and Fisheries, New South Wales Dept. Primary industries, Northern Territory Farmers Federation, Australian Centre of Land Use and Management Program, Citrus Australia, Australian Banana Growers Council, Australian Mango Industry Association,  Australian Olive Association, Australian Macadamia Society; Boundary Bend ltd, Costas, Tie-Up farming, CERES imaging, Felix instruments, Pinata Farms, Hortical and Manbullo Ltd.

  • Remote sensing for mapping of permanent plantings: funded by Local Land Services Riverina (2019): $100,000.
  • ST18000: Remote Sensing for Biosecurity Surveillance in Urban and Peri‐Urban Environments (2019).
  • Remote sensing for Peanut (2019). Funded by the Peanut Company of Australia.
  • Pilot study evaluating remote sensing for Western Australia citrus. Funded by WA Citrus. (2019)
  • Project Developer, leader and Researcher ‘AV18002 - Implementing precision agriculture solutions in Australian avocado production systems’. Funded by Horticulture Innovation Ltd ($950K). (Feb 2019- Feb 2022).
  • Co- Project Developer and Researcher ‘PRJ-011058- Improving mid-season nitrogen management of rice’ (Project led by NSW DPI). Funded by Agrifutures. (Nov 2018- April 2021).
  • Co- Project Developer and Researcher (Project led by The World Bank). ‘World Bank Project: Mapping banana abundance and varietal composition in Uganda. (Dec. 2017- June 2019).
  • Project Collaborator and Researcher (Project led by QDAF) on the Horticulture Innovation Ltd project ‘VG16009 Adoption of precision systems technology in vegetable production’. (2016- 2019) ($4.7 Million).
  • Co- Project Developer and Researcher (Project led by QDAF) on the ‘2016/17 Agri-Science Queensland Innovation Opportunity’ funded project titled ‘Identifying the presence of pineapple pests & diseases through remote sensing’. (Feb 2017- June 2017) ($15,000).
  • Project Developer, Leader and Principal Researcher on the Rural Research and Development for Profit Project (co- funded by Horticulture innovation Australia) titled ‘Multi-scale Monitoring Tools for Managing Australian Tree Crops - Industry Meets Innovation’. (2015- 2019) ($7.5 Million).

    Project collaborators include University of New England, University of Queensland, Central Queensland University, University of Sydney, Department of Agriculture and Fisheries Queensland, Department of Science, Information Technology and Innovation, AGTRIX, Avocados Australia Ltd, Australian Macadamia Society, Australian Mango industry Association Ltd and Simpson Farms.
  • Principal Researcher on the Meat and Livestock Australia (MLA) and Cooperative Research Centre for Spatial Information (CRC-SI) funded project titled ‘Precision Grazing Management- Real Time Biomass Estimation in Pastures’ (2014- 2017). ($1.4 million over 4 years). (My involvement 2014- 2015)
  • Sugar Research Australia (SRA) formerly Sugar Research Development Corporation (SRDC) funded projects:
    • Co-Project Developer, Leader and Principal Researcher. Project titled ‘Sugar from space: improved data access, yield forecasting and targeted nitrogen application for the Australian Sugar industry.’ (2016- 2020). ($1.3 million over 3.5 years). Project collaboration with Farmacist.
    • Project co- researcher. Project led by Sugar Research Australia) and titled ‘Licence to Farm: Nitrogen use efficient varieties to meet the future environmental targets’. (2016- 2019) ($1.3 million over 3 years).
    • Project Developer, Leader and Principal Researcher Project titled ‘Evaluating the efficacy of remote sensing for identifying Yellow Canopy Syndrome in sugarcane’ (2013- 2014). ($40,000 6 months).
    • Project Developer, Leader and Principal Researcher Developing. Project titled ‘Remote sensing as an industry wide yield forecasting, nitrogen mapping and research aid.’ (2013- 2016). ($1.1 million over 3 years).
    • Project Developer and Leader. Project titled ‘Remote sensing to implement an effective pest management strategy for cane grubs’. (2011- 2015). ($1.1 million over 4 years)
    • Project Developer, Leader and Principal Researcher. Project titled ‘Remote Sensing- based Precision Agriculture Tools for the Sugar Industry. (2009- 2012). ($1 million over 3 years).
  • Project Developer, Leader and Principal Researcher of Remote sensing component of Horticulture Australia Ltd (HAL) Avocado Projects AV11015 and AV12012: To assess the effectiveness of using remote sensing technologies to predominately collect tree number and tree health information. (2013- 2014). ($22K over 2 years).
  • Project Developer, Leader and Principal Researcher. Cotton Catchment Communities Cooperative Research Centre (CRC) (Queensland component) funded project titled 'In- crop spatial variability assessment and management'. (2007- 2010). ($1.1 million over 3 years).
  • Principal Researcher of Remote sensing component of Australian Centre of International Agricultural Research (ACIAR) Peanut project (Papua New Guinea). (2004- 2009).
  • Project Developer, Leader and Principal Researcher. South Burnett regional council project: 'Using high resolution satellite imagery for the detection of Privet- Ligustrum lucidum. (2009).
  • Remote Sensing applications for the determination of Yield, Maturity and Aflatoxin contamination within Peanut. PhD. (2002- 2007).
  • Project Researcher of Grains Research and Development Corporation (GRDC) funded SIP09 Precision Agriculture Initiative project: ‘Eye in the sky to revolutionise Australia's northern crop production’. (2003- 2006).

Research Supervision Experience

Research Supervision (PhD)

  • Investigating the relationship between the spatial variability of individual tree vigour across an orchard block, as identified by very high resolution satellite imagery, to pollination efficacy and diversity of pollinator species (Bryony Wilcox).
  • Remote sensing for the non-invasive detection of Panama Disease (Fusarium oxysporum f. sp. Cubense (Foc)) in banana crops (Aaron Aeberli).
  • Pre-symptomatic detection of Phytophthora root rot in Avocado for automated surveillance (Surantha Salgadoe).
  • The Provision of Crop Pollination Ecosystem Services by Wild Insects (Liam Kendall).
  • Integrating LiDAR and Multispectral data for Monitoring Mangos, Avocados and Macadamias (Sabrina Dan Wu (University of Queensland)).
  • Optimal Remotely Piloted Aircraft System Imaging and Processing for Horticultural Applications (Yu-Hsuan Tu (University of Queensland)).

Publications

Selected Recent Publications

  • Brinkhoff, J., Shultz, A., Suarez, L, A., and Robson, A.J. (2021). Olive Tree Water Stress Detection Using Daily Multispectral Imagery. IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, p. 5826-5829. https://doi.org/10.1109%2FIGARSS47720.2021.9553729
  • Anderson, N. T., Walsh, K.B., Koirala, A., Wang, Z., Amaral, M.H., Dickinson, G. R.,  Priyakant Sinha, P., Robson, A.J. (2021). Estimation of Fruit Load in Australian Mango Orchards Using Machine Vision. Agronomy 2021, 11(9), 1711; https://doi.org/10.3390/agronomy11091711
  • Brinkhoff, J., Robson, A.J. (2021). Block-level macadamia yield forecasting using spatio-temporal datasets, Agricultural and Forest Meteorology, Volume 303, 2021.

    • https://doi.org/10.1016/j.agrformet.2021.108369.

  • Sinha, P., Robson, A., Schneider, D., Kilic, T., Mugera, H., Ilukor, J., Tindamanyire, J. (2020). The potential of in-situ hyperspectral remote sensing for differentiating 12 banana genotypes grown in Uganda ISPRS Journal of Photogrammetry and Remote Sensing. 2020, 167, 85-103
  • Brinkhoff, J and Robson, A.J. (2020). Macadamia Orchard Planting Year and Area Estimation at a National Scale. Remote Sensing. 2020, 12, 14 https://www.mdpi.com/2072-4292/12/14/2245#
  • Kasper Johansen. Qibin Duan, Yu-Hsuan, Tu, Chris Searle, Dan Wu, Stuart Phinn, Andrew Robson, Matthew F. McCabe (2020). Mapping the condition of macadamia tree crops using multi-spectral UAV and WorldView-3 imagery. ISPRS Journal of Photogrammetry and Remote Sensing. Volume 165, July 2020, Pages 28-40. https://doi.org/10.1016/j.isprsjprs.2020.04.017
  • Dan Wu, Kasper Johansen, Stuart Phinn, Andrew Robson and Yu-HsuanTu (2020). Inter-comparison of remote sensing platforms for height estimation of mango and avocado tree crowns. International Journal of Applied Earth Observation and Geoinformation. Volume 89, July 2020, 102091. https://doi.org/10.1016/j.jag.2020.102091

  • Suarez, LA., Robson, A., McPhee, J., O’Halloran, J., and Van Sprang, C (2020). Accuracy of carrot yield forecasting using proximal hyperspectral and satellite multispectral data. Precision Agriculture (2020). https://doi.org/10.1007/s11119-020-09722-6
  • Muhammad Moshiur Rahman and Andrew Robson (2020). Integrating Landsat-8 and Sentinel-2 Time Series Data for Yield Prediction of Sugarcane Crops at the Block Level Remote Sensing. 2020, 12, 1313; https://doi.org/10.3390/rs12081313
  • Brinkhoff, J., Vardanega, J., Robson, A.J. (2020). Land Cover Classification of Nine Perennial Crops Using Sentinel-1 and -2 Data. Remote Sensing. 2020, 12, 96. https://doi.org/10.3390/rs12010096
  • Yu-HsuanTu, Stuart Phinn, Kasper Johansen, Andrew Robson and Dan Wu (2020). Optimising drone flight planning for measuring horticultural tree crop structure. ISPRS Journal of Photogrammetry and Remote Sensing. Volume 160, February 2020, Pages 83-96. https://doi.org/10.1016/j.isprsjprs.2019.12.006
  • Howlett, Brad G; Evans, Lisa J; Kendall, Liam K; Rader, Romina; McBrydie, Heather M; Read, Samantha F J; Cutting, Brian T; Robson, Andrew; Pattemore, David E; Willcox, Bryony K (2019). Surveying insect flower visitors to crops in New Zealand and Australia. bioRxiv, p. 1-27; https://doi.org/10.1101%2F373126
  • Arachchige Surantha Ashan Salgadoe, Andrew James Robson, David William Lamb, Elizabeth Kathryn Dann (2019). Assessment of Phytophthora Root Rot-Induced Canopy Decline Symptoms in Avocado Trees Using On-ground Thermal Imagery Remote Sensing. 2019, 11, 2972; http://dx.doi.org/10.3390/rs11242972
  • Arachchige Surantha Ashan Salgadoe, Andrew James Robson, David William Lamb and Elizabeth Kathryn Dann (2019).  Assessment of Canopy Porosity in Avocado Trees as a Surrogate for Restricted Transpiration Emanating from Phytophthora Root Rot Remote Sens. 2019, 11(24), 2972; https://doi.org/10.3390/rs11242972
  • Bryony Willcox, Brad Howlett, Andrew Robson, Brian Cutting, Lisa Evans, Linley Jesson, Lindsey Kirkland, Malou Jean Meyzonnier, Victoria Potdevin, Manu Saunders, and Romina Rader (2019). Evaluating the taxa that provide shared pollination services across multiple crops and regions. Scientific Reports volume 9, Article number: 13538 (2019). https://www.nature.com/articles/s41598-019-49535-w
  • Brinkhoff, J., Dunn, B. W., Robson, A.J., Dunn, T., and Dehaan, R.L. (2019). Modelling Mid-Season Rice Nitrogen Uptake Using Multispectral Satellite Data. Remote Sens. 2019, 11(15), 1837; https://doi.org/10.3390/rs11151837
  • Salgadoe, A.S.A., Robson, A.J., Lamb D.W., Schneider, D. (2019). A Non-Reference Temperature Histogram Method for determining Tc from Ground Based Thermal Imagery of Orchard Tree Canopies. Remote Sensing. 2019, 11(6), 714; https://doi.org/10.3390/rs11060714
  • Tu, Y. H., K. Johansen, S. Phinn, and A. Robson. (2019). Measuring canopy structure and condition using multi-spectral UAS imagery in a horticultural environment. Remote Sensing 11 (3). doi: 10.3390/rs11030269.
  • Bryony K Willcox, Andrew J Robson, Brad G Howlett, Romina Rader (2018). Toward an integrated approach to crop production and pollination ecology through the application of remote sensing. Peer J.https://peerj.com/articles/5806
  • Dan Wu, Stuart Phinn, Kasper Johansen, Andrew Robson, Jasmine Muir, Christopher Searle (2018). Estimating Changes in Leaf Area, Leaf Area Density and Vertical Leaf
    Area Profile for Mango, Avocado and Macadamia Tree Crowns Using Terrestrial
    Laser Scanning. Remote sensing. https://doi.org/10.3390/rs10111750.
  • N. T. Anderson, J. P. Underwood, M.M. Rahman, A. Robson, K. B. Walsh (2018). Estimation of fruit load in mango orchards – tree sampling considerations and use of machine vision and satellite imagery. Precision Agriculture.https://doi.org/10.1007/s11119-018-9614-1
  • Yu-Hsuan Tu, Stuart Phinn, Kasper Johansen and Andrew Robson (2018). Assessing radiometric correction approaches for UAS multi-spectral imagery for horticultural applications. Remote sensing. https://doi.org/10.3390/rs10111684
  • Muhammad Moshiur Rahman, Andrew Robson, Mila Bristow (2018). Exploring the potential of high resolution WorldView-3 imagery for estimating yield of mango. Remote sensing. http://www.mdpi.com/2072-4292/10/12/1866/htm. doi: 10.3390/rs10121866
  • Surantha Salgadoe and Andrew Robson (2018). Remote sensing methods for managing Phytophthora root rot in avocado. Proceedings of the Symposium on Precision Agriculture in Australasia 21st Symposium on Precision Agriculture in Australia. 10th & 11th September 2018, at the Adelaide Oval
  • Salgadoe, A.S.A., Robson, A.J., Lamb D.W., Dann, E.K. and Searle, C. (2018). Quantifying the Severity of Phytophthora Root Rot Disease in Avocado Trees Using Image Analysis.Remote Sensing. 10(2), 226; doi:10.3390/rs10020226
  • Bramley, R.G.V., Webster, A.J., and Robson, A.J. (2018). Precision agriculture and sugarcane production- a case study from the Burdekin region of Australia. Book Chapter from: Rott, P. (ed.), Achieving sustainable cultivation of sugarcane Volume 1: Cultivation techniques, quality and sustainability, 2018, Burleigh Dodds Science Publishing, Cambridge, UK. DOI: 10.19103/AS.2017.0035.15
  • Johansen, K., Sallam, N., Robson, A., Samson, P., Chandler, K., Derby, L., Eaton, A., Jennings, J. (2017). Using GeoEye-1 Imagery for Multi-Temporal Object-Based Detection of Canegrub Damage in Sugarcane Fields in Queensland, Australia. GIS & Remote Sensing. DOI: 10.1080/15481603.2017.1417691.
  • Robson, Andrew; Rahman, Muhammad & Muir, Jasmine. (2017). Using Worldview Satellite Imagery to Map Yield in Avocado (Persea americana): A Case Study in Bundaberg, Australia. Remote Sensing. 9 (12). 1223. DOI: 10.3390/rs9121223.
  • Rahman, Muhammad & Muir, Jasmine & Robson, Andrew. (2017). Multi-temporal Landsat algorithms for the yield prediction of sugarcane crops in Australia. DOI: 10.5281/zenodo.891091.
  • A. Robson, M. M. Rahman, J. Muir, A. Saint, C. Simpson and C. Searle (2017). Evaluating satellite remote sensing as a method for measuring yield variability in Avocado and Macadamia tree crops. Advances in Animal Biosciences: Precision Agriculture (ECPA) 2017, 8:2, pp498-504. DOI: 10.1017/S2040470017000954
  • Andrew J Robson, Muhammad Moshiur Rahman, Jasmine Muir, Ashley Saint, Chad Simpson and Chris Searle (2017). Evaluating satellite remote sensing as a method for measuring yield variability in Avocado and Macadamia tree crops. Proceedings of the 11th European Conference on Precision Agriculture (ECPA 2017), 16- 20 July 2017. Edinburgh, UK.
  • K. Andersson, M. Trotter, A. Robson, D. Schneider, L. Frizell, A. Saint, D. Lamb and C. Blore (2017). Estimating pasture biomass with active optical sensors. Advances in Animal Biosciences , Volume 8 , Special Issue 2: Papers presented at the 11th European Conference on Precision Agriculture (ECPA 2017), John McIntyre Centre, Edinburgh, UK, July 16–20 2017, pp. 754 – 757. DOI: https://doi.org/10.1017/S2040470017000838
  • Moshiur Rahman and Andrew Robson (2016). Multi-temporal remote sensing for yield prediction in sugarcane crops. Proceedings of the 19th Precision Agriculture Symposium in Australia. 12-13 Sept. 2016. Toowoomba, Qld.
  • Andrew J Robson, Muhammad Moshiur Rahman, Jasmine Muir, Ashley Saint, Chad Simpson and Chris Searle (2016). Evaluating satellite remote sensing as a method for measuring yield variability in Avocado and Macadamia tree crops. Proceedings of the 19th Precision Agriculture Symposium in Australia. 12-13 Sept. 2016. Toowoomba, Qld. DOI: https://doi.org/10.1017/S2040470017000954
  • Muhammad Moshiur Rahman and Andrew Robson (2016). A novel approach for sugarcane yield prediction using Landsat time series imagery: A case study on Bundaberg region. Advances in Remote Sensing.  DOI: 10.4236/ars.2016.52008.
  • Robson A, Rahman MM, Falzon G, Verma NK, Johansen K, Robinson N, Lakshmanan P, Salter B and Skocaj D (2016a). Evaluating remote sensing technologies for improved yield forecasting and for the measurement of foliar nitrogen concentration in sugarcane. Proceedings of the Australian Society of Sugar Cane Technologists (38). From: ASSCT 2016: 38th Annual Conference of the Australian Society of Sugar Cane Technologists, 27-29 April 2016, Mackay, QLD, Australia.
  • Robson A, Rahman MM, Falzon G, Verma NK, Johansen K, Robinson N, Lakshmanan P, Salter B and Skocaj D (2016b). Evaluating remote sensing technologies for improved yield forecasting and for the measurement of foliar nitrogen concentration in sugarcane. International Sugar Journal. 15 Dec 2016: 259- 265
  • Dehaan, R., Dunn, B.W., Dunn, T., Hume, I., Orchard, B., and Robson, A. (2015). Using remote sensing to predict PI nitrogen uptake in Rice. Technical Report, NSW DPI Southern NSW Research Results 2015. DOI: 10.13140/RG.2.1.2482.6483.

  • Everingham Y, Sexton J, and Robson A (2015). A statistical approach for identifying important climatic influences on sugarcane yields. Proceedings of the Australian Society of Sugar Cane Technologists (37), pp. 8-15. From: ASSCT 2015: 37th Annual Conference of the Australian Society of Sugar Cane Technologists, 28-30 April 2015, Bundaberg, QLD, Australia.
  • A Robson, J Stanley and D Lamb (2015). Investigating remote sensing technologies and their potential for improving nitrogen management in Sugarcane. In A Review of Nitrogen Use Efficiency in Sugarcane. Sugar Research Australia Research Report. Pages 154 -179.
  • Andrew Robson (2014). Remote Sensing. Precision Ag News. SPAA Precision Agriculture Australia. Vol 11(1), Spring 2014.
  • Robson, A.J., Petty, J., Joyce, D.C., Marques, J.R., and Hofman, P.J. (2014). High resolution remote sensing, GIS and Google Earth for avocado fruit quality mapping and tree number auditing. Proceedings of the 29th International Horticultural Congress 2014. Brisbane Convention and Exhibition Centre, Brisbane, Queensland, Australia. DOI: 10.17660/ActaHortic.2016.1130.88
  • Johansen, K., Robson, A., Samson, P., Sallam, N., Chandler, K., Derby, L., Jennings, J. (2014). Mapping whitegrub damage in sugarcane from high spatial resolution satellite imagery. South-Eastern European Journal of Earth Observation and Geomatics, Vol 3, No 2S. GEOBIA conference, 21-24 May 2014, Thessaloniki, Greece.
  • K. Johansen, A. Robson, P. Samson, N. Sallam, K. Chandler, A. Eaton, L. Derby and J. Jennings (2014). Mapping Canegrub Damage from High Spatial Resolution Satellite Imagery. Proceedings of the 36th Australian Society of Sugar Cane Technologists workshop. Gold Coast, Qld. 29 April – 1 May 2014.
  • A. J. Robson and G. C. Wright (2013). Accurate Regional to Field Scale Yield forecasting of Australian Sugarcane and Peanut Crops using Remote Sensing and GIS. Asia- Pacific Economic Cooperation (APEC): Training Course on the application of Remote Sensing and GIS Technology in Crop Production. Beijing, China. 27- 30 August 2013.
  • A. J. Robson and G. C. Wright (2013). Using Remote Sensing and GIS Technologies to Improve Production Forecasting and Crop Auditing within the Australian Peanut Industry. Abstract. American Peanut Research and Education Society (APRES) annual meeting. Young Harris, Georgia. USA. 9- 11 July 2013.
  • Andrew Robson, Chris Abbott, David Lamb and Rob Bramley (2013). The derivation and distribution of digital, satellite-image based yield maps to sugar cane growers via the internet. Abstract. Digital Rural Futures Conference. Armidale. NSW. 26 June 2013.
  • Andrew Robson, Chris Abbott, Rob Bramley and David Lamb (2013). Remote sensing- based precision agriculture tools for the sugar industry. SRDC Project DPI021. Final Project Report submitted March 2013.
  • Andrew Robson, Chris Abbott, David Lamb and Rob Bramley (2012). Deriving sugar cane yield maps from SPOT 5 satellite imagery at a regional scale. Poster Abstract. Proceedings of the International Society of Sugar Cane Technologists workshop. Townsville, Qld. 10 – 14 September 2012.
  • Andrew Robson, Chris Abbott, David Lamb and Rob Bramley (2012). Developing sugar cane yield algorithms from satellite imagery. Proceedings of the Australian Society of Sugar Cane Technologists. 34th Conference, Cairns, Qld. 1- 4 May 2012.
  • Andrew Robson, Chris Abbott, David Lamb and Rob Bramley (2011). Paddock and regional scale yield prediction of cane using satellite imagery. Poster Abstract. Proceedings of the Australian Society of Sugar Cane Technologists. 33rd Conference, Mackay, Qld.
  • Andrew Robson, Chris Abbott, David Lamb and Rob Bramley (2011). Satellite remote sensing of sugarcane- some FAQs. Australian Sugarcane. February- March 2011.
  • Andrew Robson and Chris Abbott (2010). Assessing remote sensing as an effective tool for predicting yield variability and total yield within the Australian cotton industry. Poster Presentation. 15th Australian cotton conference. Gold Coast, Qld. 10- 12th August 2010.
  • Andrew Robson and Christopher Abbott (2010). Remote sensing applications for the Australian Cotton industry. 14th Annual Symposium of Precision Agriculture in Australasia. Albury, NSW. 2- 3 September 2010.
  • Robson, J.R. Hughes and R.J. Coventry (2010). Using spatial layers to understand variability in precision agricultural systems for sugarcane production. Poster abstract. In Proceedings of the 32nd conference of the Australian Society of Sugar Cane Technologists. Bundaberg. Qld. AUS.  11th – 14th May 2010.

  • Mike Bell, Steve Walker, Andrew Robson, David Jordan and Dave Murray (2009). The evolution of modern cropping systems In National Water and Environment Bulletin. Spring 2009. Page 43- 47.
  • Dr Andrew Robson and Jon Medway (2009). Improving adoption of Remote Sensing within the Australian cotton industry. 2009 CRC science forum, Narrabri, NSW. 17- 19 August 2009.
  • A.J. Robson., G.W. Wright., M.J. Bell., J. Medway., P. Hatfield., and R.C.N. Rachaputi. (2009). Practical remote sensing applications for the peanut, sugar cane and cotton farming systems. Poster abstract. In Proceedings of the 13th Annual Symposium on precision Agriculture in Australia. University of New England, Armidale, NSW. AUS. 10- 11th September 2009.
  • Dr Andrew Robson and John Medway (2009). Remote Sensing applications for cotton. The Australian Cottongrower. August- September 2009. vol 30. (4):40-43.
  • Daniel Rodriguez, Andrew J. Robson and Robert Belford (2009). Dynamic and Functional monitoring technologies for applications in crop management. In Crop Physiology- Applications for genetic improvement and agronomy. eds. Victor Sadras and Daniel Calderini. Elsevier Inc. USA.
  • Andrew Robson and Stuart Phinn (2008). Remote sensing for crop variability in peanuts. SPAA, Precision Ag News. Vol 5(1), Spring/ Summer 2008.
  • McHugh, A.D., Boughton, B., Eberhard, J., McKeering, L.M., Robson, A.R., and Raine, S.R. (2008). Evaluating the relationship between plant based measurements and remotely sensed data for irrigation scheduling of cotton. National Centre for Engineering in Agriculture Publication 1001574/8, USQ, Toowoomba.
  • Robson, A., Wright, G., and Phinn, S. (2008). An economic analysis of using remote sensing to identify and respond to crop variability- a case study in peanuts. Goondiwindi Grains Research Update, March 5 & 6th, 2008. Goondiwindi, Queensland.
  • A.J. Robson, Remote sensing applications for the determination of yield, maturity and aflatoxin contamination in Peanut. Ph.D. Thesis, the University of Queensland (2007).
  • Robson, A., Wright, G., and Phinn, S. (2007). Remote sensing applications in Peanuts- The assessment of crop maturity, yield, disease, irrigation efficiency and best management practices using temporal images. 5th CTF Controlled Traffic Farming and Precision Agriculture conference, Perth, W.A.
  • Robson, A., Phinn, S., and Wright, G. (2006) Using field Spectroscopy and QuickBird Imagery for the assessment of Peanut crop maturity and aflatoxin risk. Journal of Spatial Science, 51(2).

  • Thomasson, J. A., R. Sui., G. C. Wright, and A. J. Robson. (2006). Optical Peanut Yield Monitor: Development and testing. Applied Engineering in Agriculture. Vol. 22(6):809-818. 10.13031/2013.22249
  • Graeme Wright, Andrew Robson and Rao CN Rachaputi (2006). Remote sensing applications for peanuts in Australia and Papua New Guinea. In  “Improving Yield and economic viability of peanut production in Papua New Guinea and Australia:” Eds Rachaputi Rao C.N. Wright, G.C. Kuniata, L and Ramakrishna, A. ACIAR Proceedings No 122, 124p
  • Apan, A., Kelly, R., Phinn, S., Strong, W., Lester, D., Butler, D., and Robson, A. (2006).  Predicting grain protein content in wheat using hyperspectral sensing of in- season crop canopies and partial least squares regression, International journal of Geoinformatics, 2(1):93-108.
  • Wright, G.C., Nageswararao, R.C., Chauhan, Y., and Robson, A.  (2005) Increasing Productivity and Quality of Peanuts Using Novel Crop Modeling and Remote Sensing Technologies. In 'Prospects and Emerging Opportunities for Peanut Quality and Utilisation Technology'   International Peanut Conference, Kasetsart University, Bangkok, Thailand. 9-12 January 2005.
  • Robson, A., Wright, G., and Phinn, S. (2004).Assessment of peanut crop maturity and yield forecasting with QuickBird multispectral satellite imagery. Spatial Science Queensland, 4, Aug 2004:35- 37.
  • Kelly, R., Apan, A., Phinn, S., Cooper, J., Lester, D., Robson, A., Butler, D., Strong, W., and Jensen, T. (2004).  Hyperspectral measurement of sulfur concentration of wheat on the Darling Downs.  Proceedings of the 12th ARSPC 2004, Freemantle, Western Australia.
  • Wright, G., Robson, A., and Mills, G. (2004). Application of remote sensing technologies to improve yield and water-use efficiency in irrigated peanuts. Proceedings of the 4th International Crop Science Congress, Brisbane, Australia.
  • Robson, A., Phinn, S., Wright, G., and Fox, G. (2004). Combining Near Infrared Spectroscopy and Infrared Aerial Imagery for Assessment of Peanut Crop Maturity and Aflatoxin Risk. Proceedings of the 4th International Crop Science Congress, Brisbane, Australia.
  • Wright, G., Robson, A., and Phinn, S. (2004). Potential for commercialisation of remote sensing applications for the Australian peanut industry. Proceedings of the 4th Geospatial Information Forum, 28th October 2004, University of Southern Queensland, Toowoomba, Queensland:8-9.
  • Williams, R.L., Robson, A.J, Warnes, D., Napier,G. and Smith,J. (2002) Increasing on farm yields based on physiology research beyond 2000. Farmers newsletter 159:24-26.
  • Robson, A.J., Williams,R.L. and Farrell, T.C. (2001) Unique root mass in Australia’s rice. Proceedings of the Australian Agronomy Conference. Hobart Australia.
  • Williams, R.L., Robson,A.J. and Farrell,T.C. (2001) Increasing yield potential of the NSW rice industry. Farmers Newsletter 156, 33-34.

Memberships

Fellow of the Royal Society of New South Wales

Consultancy Interests

Director of AGSCENE Pty Ltd.  This is a small part time consultancy that develops discrete remote sensing applications for a range of agricultural industries.