Digital strategies for nitrogen management in grain production systems: lessons from multi-method assessment using on-farm experimentation

Article


Colaco, A.F., Whelan, B.M., Bramley, R.G.V., Richetti, J., Fajardo, M., McCarthy, A.C., Perry, E.M., Bender, A., Leo, S., Fitzgerald, G.J. and Lawes, R.A.. 2024. "Digital strategies for nitrogen management in grain production systems: lessons from multi-method assessment using on-farm experimentation ." Precision Agriculture. https://doi.org/10.1007/s11119-023-10102-z
Article Title

Digital strategies for nitrogen management in grain production systems: lessons from multi-method assessment using on-farm experimentation

ERA Journal ID5325
Article CategoryArticle
AuthorsColaco, A.F., Whelan, B.M., Bramley, R.G.V., Richetti, J., Fajardo, M., McCarthy, A.C., Perry, E.M., Bender, A., Leo, S., Fitzgerald, G.J. and Lawes, R.A.
Journal TitlePrecision Agriculture
Number of Pages31
Year2024
PublisherSpringer
Place of PublicationUnited States
ISSN1385-2256
1573-1618
Digital Object Identifier (DOI)https://doi.org/10.1007/s11119-023-10102-z
Web Address (URL)https://link.springer.com/article/10.1007/s11119-023-10102-z
Abstract

During the past few decades, a range of digital strategies for Nitrogen (N) management using various types of input data and recommendation frameworks have been developed. Despite much research, the benefits accrued from such technology have been equivocal. In this work, thirteen methods for mid-season N recommendations in cereal production systems were evaluated simultaneously, ranging from simple mass balance through to non-mechanistic approaches based on machine learning. To achieve this, an extensive field research program was implemented, comprising twenty-one N strip trials implemented in wheat and barley fields across Australia over four cropping seasons. A moving window regression approach was used to generate crop response functions to applied N and calculate economically optimal N rates along the length of the strips. The N recommendations made using various methods were assessed based on the error against the optimal rate and expected profitability. The root mean squared error of the recommendations ranged from 15 to 57 kg/ha. The best performing method was a data-driven empirical strategy in which a multivariate input to characterise field and season conditions was abundantly available and used to predict optimal N rates using machine learning. This was the only approach with potential to substantially outperform the existing farmer management, reducing the recommendation error from 42 to 15 kg/ha and improving profitability by up to A$47/ha. Despite being reliant on extensive historical databases, such a framework shows a promising pathway to drive production systems closer towards season- and site-specific economically optimum recommendations. Automated on-farm experimentation is a key enabler for building the necessary crop response databases to run empirical data-driven decision tools

KeywordsNitrogen decision tools, Crop sensing, Machine learning, Site-specific nutrient management, Digital agriculture
ANZSRC Field of Research 20203002. Agriculture, land and farm management
4611. Machine learning
300204. Agricultural management of nutrients
401304. Photogrammetry and remote sensing
Byline AffiliationsCommonwealth Scientific and Industrial Research Organisation (CSIRO), Australia
University of Sydney
Centre for Agricultural Engineering
Agriculture Victoria
Queensland University of Technology
Permalink -

https://research.usq.edu.au/item/z3w0x/digital-strategies-for-nitrogen-management-in-grain-production-systems-lessons-from-multi-method-assessment-using-on-farm-experimentation

Download files


Published Version
s11119-023-10102-z.pdf
License: CC BY 4.0
File access level: Anyone

  • 29
    total views
  • 9
    total downloads
  • 4
    views this month
  • 2
    downloads this month

Export as

Related outputs

Artificial Intelligence: what is it and what does it mean for cotton?
McCarthy, Alison. 2023. "Artificial Intelligence: what is it and what does it mean for cotton?" 2023 Australian Cotton Research Conference. Toowoomba 05 - 07 Sep 2023 Australia.
Variable-rate irrigation: hardware and software tools for improved infield irrigation
McCarthy, Alison and Foley, Joseph. 2023. "Variable-rate irrigation: hardware and software tools for improved infield irrigation." GRDC Grains Research Update: Irrigation efficiency. 30 - 30 May 2023 Australia.
Research and industry engagement for Ag tech development
McCarthy, Alison. 2023. "Research and industry engagement for Ag tech development." Scenic Rim Agricultural Workshop. Aratula 22 - 22 Mar 2023 Australia.
Field evaluation of automated site-specific irrigation for cotton and perennial ryegrass using soil-water sensors and Model Predictive Control
McCarthy, Alison, Foley, Joseph, Raedts, Pieter and Hills, James. 2023. "Field evaluation of automated site-specific irrigation for cotton and perennial ryegrass using soil-water sensors and Model Predictive Control." Agricultural Water Management. 277, pp. 1-17. https://doi.org/10.1016/j.agwat.2022.108098
Potential for machine vision of grain crop features for nitrogen assessment
McCarthy, Alison, Colaco, Andre, Richetti, Jonathan and Baillie, Craig. 2022. "Potential for machine vision of grain crop features for nitrogen assessment." 20th Australian Agronomy Conference (2022). Toowoomba, Australia Toowoomba, Australia.
Future farming: Machine vision for in-season nitrogen assessment of grain crops
McCarthy, Alison and Baillie, Craig. 2020. "Future farming: Machine vision for in-season nitrogen assessment of grain crops." 2020 Precision Agriculture Symposium Webinar. Virtual 30 Sep 2020 Sydney, Australia.
Future farming: Machine vision for nitrogen assessment in grain crops
McCarthy, Alison and Baillie, Craig. 2020. "Future farming: Machine vision for nitrogen assessment in grain crops." GRDC Grains Research Update: Driving Profit Through Research. Goondiwindi, Australia 03 - 04 Mar 2020 Australia.
Smartphone apps under development to aid pest monitoring
McCarthy, Alison, Long, Derek and Grundy, Paul. 2020. "Smartphone apps under development to aid pest monitoring." GRDC Grains Research Update: Driving Profit Through Research. Goondiwindi, Australia 03 - 04 Mar 2020 Australia.
Detection of early infestations of Fall armyworm (FAW) in sweet corn and maize
McCarthy, Alison and Humpal, Jacob. 2021. Detection of early infestations of Fall armyworm (FAW) in sweet corn and maize. Toowoomba, Australia. University of Southern Queensland.
Can additional N fertiliser ameliorate the elevated CO2-induced depression in grain and tissue N concentrations of wheat on a high soil N background?
Tausz, M., Norton, R. M., Tausz-Posch, S., Low, M., Seneweera, S., O'Leary, G., Armstrong, R. and Fitzgerald, G. J.. 2017. "Can additional N fertiliser ameliorate the elevated CO2-induced depression in grain and tissue N concentrations of wheat on a high soil N background?" Journal of Agronomy and Crop Science. 203 (6), pp. 574-583. https://doi.org/10.1111/jac.12209
Automated variety trial plot growth and flowering detection for maize and soybean using machine vision
McCarthy, Alison and Raine, Steven. 2022. "Automated variety trial plot growth and flowering detection for maize and soybean using machine vision." Computers and Electronics in Agriculture. 194, pp. 1-21. https://doi.org/10.1016/j.compag.2022.106727
Machine vision tools for Smarter Irrigation of dairy pasture and cotton
McCarthy, Alison, Foley, Joseph, Jamali, Hizbullah, Raedts, Pieter and Hills, James. 2022. "Machine vision tools for Smarter Irrigation of dairy pasture and cotton." 2022 Irrigation Australia Conference and Exhibition. Adelaide, Australia 05 - 07 Oct 2022 Australia.
Estimating early season growth and biomass of field pea for selection of divergent ideotypes using proximal sensing
Tefera, Abeya Temesgen, Banerjee, Bikram Pratap, Pandey, Babu Ram, James, Laura, Puri, Ramesh Raj, Cooray, Onella, Marsh, Jasmine, Richards, Mark, Kant, Surya, Fitzgerald, Glenn J. and Cooray, Onella. 2022. "Estimating early season growth and biomass of field pea for selection of divergent ideotypes using proximal sensing." Field Crops Research. 277. https://doi.org/10.1016/j.fcr.2021.108407
Infield sensing of cotton insects using automated image analysis of crop symptoms: CSP2203
Heimoana, Simone, Blankley, S. and McCarthy, Alison. 2022. Infield sensing of cotton insects using automated image analysis of crop symptoms: CSP2203. Australia. Cotton Research and Development Corporation.
Automated infield canopy temperature assessment of early stage cotton using thermal camera and plant segmentation
McCarthy, Alison, Nunn, Christopher, Jamali, Hizbullah and Long, Derek. 2022. Automated infield canopy temperature assessment of early stage cotton using thermal camera and plant segmentation . Australia. Cotton Research and Development Corporation.
Cotton health assessment and yield prediction
McCarthy, Alison and Baillie, Craig. 2022. Cotton health assessment and yield prediction. United States. John Deere.
Future Farm: Improving farmer confidence in targeted N management through automated sensing and decision support
Bramley, Rob, Whelan, Brett, Colaco, André, McCarthy, Alison, Richetti, Jonathan, Lawes, Roger, Fajardo, Mario, Bender, Asher, Pothula, Anand, Baillie, Craig, Perry, Eileen, Fitzgerald, Glenn, Clancy, Alex, Leo, Stephen and Grace, Peter. 2022. Future Farm: Improving farmer confidence in targeted N management through automated sensing and decision support. Australia. Grains Research and Development Corporation.
Identifying sensors for better IPM in cotton: NEC1901
McCarthy, Alison, Long, Derek and Grundy, Paul. 2022. Identifying sensors for better IPM in cotton: NEC1901. Australia. Cotton Research and Development Corporation.
Improving pasture growth assessment using machine vision
McCarthy, Alison, Raedts, Pieter, Foley, Joseph and Hills, James. 2022. "Improving pasture growth assessment using machine vision." Australasian Dairy Science Symposium 2022. Twin Waters 30 Nov - 02 Dec 2022
New sensing technologies for citrus gall wasp and Fuller’s rose weevil: CT19009
Long, Derek, McCarthy, Alison and Mo, Jianhua. 2021. New sensing technologies for citrus gall wasp and Fuller’s rose weevil: CT19009. Australia. Hort Innovation Austarlia.
Machine vision and automation technologies for the Australian cotton industry
McCarthy, Alison. 2019. "Machine vision and automation technologies for the Australian cotton industry." 78th International Cotton Advisory Committee Plenary Meeting (ICAC 2019). Brisbane, Australia 02 - 07 Dec 2019
Machine vision App for automated cotton insect counting: initial development and first results
Long, Derek, Grundy, Paul and McCarthy, Alison. 2019. "Machine vision App for automated cotton insect counting: initial development and first results." Australian Association of Cotton Scientists 2019 Australian Cotton Research Conference (AACS 2019). Armidale, Australia 28 - 30 Oct 2019
In-season yield prediction using VARIwise
McCarthy, Alison, O'Keeffe, Kieran and McKay, Andrew. 2019. "In-season yield prediction using VARIwise." Australian Association of Cotton Scientists 2019 Australian Cotton Research Conference (AACS 2019). Armidale, Australia 28 - 30 Oct 2019
Site-specific irrigation using automated control and machine vision for horticulture crops in Queensland and New Zealand
McCarthy, Alison, El-Naggar, Ahmed, Roudier, Pierre and Hedley, Carolyn. 2017. "Site-specific irrigation using automated control and machine vision for horticulture crops in Queensland and New Zealand." 18th Australian Agronomy Conference 2017. Ballarat, Victoria 24 - 28 Sep 2017 Australia.
Automated cloud-based irrigation for centre pivot irrigated cotton and dairy pasture
McCarthy, Alison, Foley, Joseph, Hills, James, Shippam, Ralph and McLaren, David. 2018. "Automated cloud-based irrigation for centre pivot irrigated cotton and dairy pasture." 2018 Irrigation Australia International Conference and Exhibition. Sydney, Australia 13 - 15 Jun 2018
Advanced data-driven irrigation
Hills, James, McLaren, David, Foley, Joseph and McCarthy, Alison. 2018. "Advanced data-driven irrigation." Where the Waters Meet 2018 - Australian Water Association, Tasmanian State Conference. Hobart, Australia 16 Aug 2018
Aerial imagery for yield prediction
McCarthy, Alison and Foley, Joseph. 2018. "Aerial imagery for yield prediction." 2018 Australian Cotton Conference. Gold Coast, Australia 07 - 09 Aug 2018
Machine vision for camera-based horticulture crop growth monitoring
McCarthy, Alison, Hedley, Carolyn and El-Naggar, Ahmed. 2017. "Machine vision for camera-based horticulture crop growth monitoring." International Tri-Conference for Precision Agriculture in 2017 (PA17)/7th Asian-Australasian Conference on Precision Agriculture. Hamilton, New Zealand 16 - 18 Oct 2017 New Zealand. https://doi.org/10.5281/zenodo.893702
Impacts of elevated atmospheric CO2 on nutrient content of important food crops
Dietterich, Lee H., Zanobetti, Antonella, Kloog, Itai, Huybers, Peter, Leakey, Andrew D. B., Bloom, Arnold J., Carlisle, Eli, Fernando, Nimesha, Fitzgerald, Glenn, Hasegawa, Toshihiro, Holbrook, N. Michele, Nelson, Randall L., Norton, Robert, Ottman, Michael J., Raboy, Victor, Sakai, Hidemitsu, Sartor, Karla A., Schwartz, Joel, Seneweera, Saman, ..., Myers, Samuel S.. 2015. "Impacts of elevated atmospheric CO2 on nutrient content of important food crops." Scientific Data. 2, pp. 1-8. https://doi.org/10.1038/sdata.2015.36
Knowledge management, sensing and control tools for irrigated broadacre cropping
McCarthy, Alison, Scobie, Michael, Gillies, Malcolm, Agustina, Lidya and Foley, Joseph. 2016. "Knowledge management, sensing and control tools for irrigated broadacre cropping." 19th Symposium on Precision Agriculture in Australasia. Toowoomba, Australia 12 - 13 Sep 2016
Automated camera-based crop monitoring and site-specific irrigation control systems for cotton, horticulture and dairy pasture
McCarthy, Alison. 2016. "Automated camera-based crop monitoring and site-specific irrigation control systems for cotton, horticulture and dairy pasture." The SPAA Expo: Talking precision in the Atherton Tableland (2016). Mareeba, Australia
Automated camera-based crop monitoring and site-specific irrigation control systems
McCarthy, Alison. 2016. "Automated camera-based crop monitoring and site-specific irrigation control systems." Precision Agriculture Technologies: Recent applications in the horticultural industry (2016). Gatton, Australia 24 Nov 2016
Improving surface irrigation
Gillies, Malcolm H., Foley, Joseph P. and McCarthy, Alison C.. 2018. "Improving surface irrigation." Chen, Guangnan (ed.) Advances in agricultural machinery and technologies. United States. CRC Press. pp. 225-262
Tools to aid autonomous irrigation
McCarthy, Alison. 2017. "Tools to aid autonomous irrigation." GVIA Grower-led Irrigation Research Field Day (2017). Moree, Australia 08 Feb 2017
Fixed camera system for phenology measurements during the 2018 field season
McCarthy, Alison and Raine, Steven. 2018. Fixed camera system for phenology measurements during the 2018 field season. United States. Monsanto.
Smart Automated Broad-acre Irrigation (Smarter Irrigation for Profit RRDP1603)
Foley, J.P., Gillies, M.H. and McCarthy, A.C.. 2018. Smart Automated Broad-acre Irrigation (Smarter Irrigation for Profit RRDP1603). Australia. Cotton Research and Development Corporation.
Sense-T: Sensor smart irrigation
McCarthy, Alison, Shippam, Ralph and Agustina, Lidya. 2017. Sense-T: Sensor smart irrigation. Australia. Sense-T.
Automated camera-based crop and irrigation monitoring
McCarthy, Alison. 2016. "Automated camera-based crop and irrigation monitoring." 18th Australian Cotton Conference (2016). Gold Coast, Australia 02 - 04 Aug 2016
Smarter irrigation for profit - increasing farm profit through efficient use of irrigation input to dairy pastures
Hills, James, McCarthy, Alison, Foley, Joseph and McLaren, David. 2016. "Smarter irrigation for profit - increasing farm profit through efficient use of irrigation input to dairy pastures." 7th Australian Dairy Science Symposium (2016). Sydney, Australia 16 - 18 Nov 2016 Australia.
Improving horticulture irrigation and fertiliser application using real-time, adaptive control
McCarthy, Alison. 2017. Improving horticulture irrigation and fertiliser application using real-time, adaptive control. Australia. Queensland Government.
Optimal irrigation of cotton via real-time, adaptive control
McCarthy, Alison, Smith, Rod and Hancock, Nigel. 2013. Optimal irrigation of cotton via real-time, adaptive control. Narrabri, Australia. Cotton Research and Development Corporation.
Advancing VARIwise towards autonomous irrigation and a grower's guide
McCarthy, Alison, Antille, Diogenes, Skowronski, Victor, Zhao, Bo, Kodur, Shreevatsa, Nguyen-Ky, Tai and Raine, Steven. 2016. Advancing VARIwise towards autonomous irrigation and a grower's guide. Narrabri, Australia. Cotton Research and Development Corporation.
A preliminary evaluation of using fixed cameras for phenology measurements in a maize and soybean crop 2016/17
McCarthy, Alison and Raine, Steven. 2017. A preliminary evaluation of using fixed cameras for phenology measurements in a maize and soybean crop 2016/17. United States. Monsanto.
Remote monitoring and automatic detection of grain crop attributes
McCarthy, Alison, Tscharke, Matthew and Schmidt, Erik. 2014. Remote monitoring and automatic detection of grain crop attributes. Toowoomba, Australia. University of Southern Queensland.
Elevated carbon dioxide changes grain protein concentration and composition and compromises baking quality. A FACE study
Panozzo, J. F., Walker, C. K., Partington, D. L., Neumann, N. C., Tausz, M., Seneweera, S. and Fitzgerald, G. J.. 2014. "Elevated carbon dioxide changes grain protein concentration and composition and compromises baking quality. A FACE study." Journal of Cereal Science. 60 (3), pp. 461-470. https://doi.org/10.1016/j.jcs.2014.08.011
Automated site-specific irrigation framework and evaluation
McCarthy, Alison. 2016. "Automated site-specific irrigation framework and evaluation." Irrigation Australia International Conference and Exhibition 2016: Irrigation - For Prosperity and Wellbeing. Melbourne, Australia 24 - 26 May 2016
Elevated atmospheric [CO2] can dramatically increase wheat yields in semi-arid environments and buffer against heat waves
Fitzgerald, Glenn J., Tausz, Michael, O'Leary, Garry, Mollah, Mahabubur R., Tausz-Posch, Sabine, Seneweera, Saman, Mock, Ivan, Low, Markus, Partington, Debra L., McNeil, David and Norton, Robert M.. 2016. "Elevated atmospheric [CO2] can dramatically increase wheat yields in semi-arid environments and buffer against heat waves." Global Change Biology. 22 (6), pp. 2269-2284. https://doi.org/10.1111/gcb.13263
VARIwise: site-specific surface irrigation and fertigation using adaptive control
McCarthy, Alison. 2015. "VARIwise: site-specific surface irrigation and fertigation using adaptive control." 2015 Cotton Irrigation Technology Tour. Emerald & Moree & Nevertire, Australia 10 - 12 Feb 2015 Australia.
Development of an integrated plant-based image sensing system for soil-water and nitrogen status estimation in cotton
McCarthy, Alison and Nguyen, Tai. 2015. Development of an integrated plant-based image sensing system for soil-water and nitrogen status estimation in cotton. Toowoomba, Australia. University of Southern Queensland.
Control and sensing systems for automated site-specific irrigation
McCarthy, Alison. 2015. "Control and sensing systems for automated site-specific irrigation." CCA Cropping Solutions Seminar 2015. Moree, Australia 29 - 30 Jul 2015
Automated site-specific control and sensing for irrigating dairy pastures
McCarthy, Alison. 2015. "Automated site-specific control and sensing for irrigating dairy pastures." Tasmanian Institute of Agriculture Dairy Centre Open Day 2015: Tips, Tools and Technologies to Better Manage Climate Variability. Burnie, Australia 02 Dec 2015
Image analysis and artificial intelligence based approach for soil-water and nitrogen status estimation
McCarthy, Alison, Nguyen, Tai and Raine, Steven. 2015. "Image analysis and artificial intelligence based approach for soil-water and nitrogen status estimation." 2nd Australian Cotton Research Conference 2015: Science Securing Cotton's Future. Toowoomba, Australia 08 - 10 Sep 2015 Australia.
Data requirements for automated model-based control of irrigation and fertiliser application
McCarthy, Alison and Raine, Steven. 2015. "Data requirements for automated model-based control of irrigation and fertiliser application." Acuna, T., Moeller, C., Parsons, D. and Harrison, M. (ed.) 17th Australian Agronomy Conference 2015: Building Productive, Diverse and Sustainable Landscapes (AAC 2015). Hobart, Australia 20 - 24 Sep 2015 Warragul, Australia.
Rising CO2 concentration altered wheat grain proteome and flour rheological characteristics
Fernando, Nimesha, Panozzo, Joe, Tausz, Michael, Norton, Robert, Fitzgerald, Glenn, Khan, Alamgir and Seneweera, Saman. 2015. "Rising CO2 concentration altered wheat grain proteome and flour rheological characteristics." Food Chemistry. 170, pp. 448-454. https://doi.org/10.1016/j.foodchem.2014.07.044
Intraspecific variation in leaf growth of wheat (Triticum aestivum) under Australian Grain Free Air CO2 Enrichment (AGFACE): Is it regulated through carbon and/or nitrogen supply?
Thilakarathne, Chamindathee L., Tausz-Posch, Sabine, Cane, Karen, Norton, Robert M., Fitzgerald, Glenn J., Tausz, Michael and Seneweera, Saman. 2015. "Intraspecific variation in leaf growth of wheat (Triticum aestivum) under Australian Grain Free Air CO2 Enrichment (AGFACE): Is it regulated through carbon and/or nitrogen supply?" Functional Plant Biology: an international journal of plant function. 42 (3), pp. 299-308. https://doi.org/10.1071/FP14125
Automated camera-based height and flower detection for wheat and chickpea
McCarthy, Alison and Tscharke, Matthew. 2014. "Automated camera-based height and flower detection for wheat and chickpea." 5th International Workshop on Applications of Computer Image Analysis and Spectroscopy in Agriculture (ASABE 2014). Montreal, Canada 12 - 13 Jul 2014 St. Joseph, MI. United States.
Real-time irrigation decision-making and control for site-specific irrigation of cotton using a centre pivot, 2012/13
McCarthy, Alison, Smith, Rod and Hancock, Nigel. 2014. "Real-time irrigation decision-making and control for site-specific irrigation of cotton using a centre pivot, 2012/13." Irrigation Australia Conference 2014: Water for Life, Future for All. Gold Coast, Australia 02 - 06 Jun 2014 Sydney, Australia.
VARIwise: towards autonomous irrigation and a grower's guide
McCarthy, A. C.. 2014. "VARIwise: towards autonomous irrigation and a grower's guide." IRRICOMM – communication of irrigation research in cotton (2014). Narrabri, Australia 11 - 12 Mar 2014 Narrabri, Australia.
Autonomous site-specific irrigation control: the current state and a vision of a future system [Keynote]
McCarthy, Alison, Smith, Rod and Gillies, Malcolm. 2014. "Autonomous site-specific irrigation control: the current state and a vision of a future system [Keynote]." Keppell, Mike and Reushle, Shirley (ed.) 2nd Digital Rural Futures Conference 2014. Toowoomba, Australia 25 - 27 Jun 2014 Toowoomba, Australia.
Real-time control approaches for site-specific irrigation and fertigation optimisation
McCarthy, Alison, Nguyen, Tai and Raine, Steven. 2014. "Real-time control approaches for site-specific irrigation and fertigation optimisation." Keppell, Mike and Reushle, Shirley (ed.) 2nd Digital Rural Futures Conference 2014. Toowoomba, Australia 25 - 27 Jun 2014
Field-scale evaluation of furrow fertigation using liquid nitrogen
Antille, Diogenes L. and McCarthy, Alison C.. 2014. "Field-scale evaluation of furrow fertigation using liquid nitrogen." 17th Australian Cotton Conference (ACC 2014): Our Fibre, Our Focus, Our Future. Gold Coast, Australia 05 - 07 Aug 2014 Narrabri, Australia.
Effect of spatial variability on data requirements for site-specific irrigation
McCarthy, Alison. 2014. "Effect of spatial variability on data requirements for site-specific irrigation." 17th Australian Cotton Conference (ACC 2014): Our Fibre, Our Focus, Our Future. Gold Coast, Australia 05 - 07 Aug 2014 Narrabri, Australia.
Simulation of irrigation control strategies for cotton using model predictive control within the VARIwise simulation framework
McCarthy, Alison C., Hancock, Nigel H. and Raine, Steven R.. 2014. "Simulation of irrigation control strategies for cotton using model predictive control within the VARIwise simulation framework." Computers and Electronics in Agriculture. 101, pp. 135-147. https://doi.org/10.1016/j.compag.2013.12.004
Holistic control system design for large mobile irrigation machines
McCarthy, Alison, Hancock, Nigel and Raine, Steven. 2015. "Holistic control system design for large mobile irrigation machines." Billingsley, John and Brett, Peter (ed.) Machine vision and mechatronics in practice. Heidelberg, Germany. Springer. pp. 177-184
Development and simulation of sensor-based irrigation control strategies for cotton using the VARIwise simulation framework
McCarthy, Alison C., Hancock, Nigel H. and Raine, Steven R.. 2014. "Development and simulation of sensor-based irrigation control strategies for cotton using the VARIwise simulation framework." Computers and Electronics in Agriculture. 101, pp. 148-162. https://doi.org/10.1016/j.compag.2013.12.014
Increasing CO2 threatens human nutrition
Myers, Samuel S., Zanobetti, Antonella, Kloog, Itai, Huybers, Peter, Leakey, Andrew D. B., Bloom, Arnold, Carlisle, Eli, Dietterich, Lee H., Fitzgerald, Glenn, Hasegawa, Toshihiro, Holbrook, N. Michele, Nelson, Randall L., Ottman, Michael J., Raboy, Victor, Sakai, Hidemitsu, Sartor, Karla A., Schwartz, Joel, Seneweera, Saman, Tausz, Michael and Usui, Yasuhiro. 2014. "Increasing CO2 threatens human nutrition." Nature. 510 (7503), pp. 139-142. https://doi.org/10.1038/nature13179
Development and application of process-based simulation models for cotton production: a review of past, present, and future directions
Thorp, K. R., Ale, S., Bange, M. P., Barnes, E. M., Hoogenboom, G., Lascano, R. J., McCarthy, A. C., Nair, S., Paz, J. O., Rajan, N., Reddy, K. R., Wall, G. W. and White, J. W.. 2014. "Development and application of process-based simulation models for cotton production: a review of past, present, and future directions." Journal of Cotton Science. 18 (1), pp. 10-47.
An assessment of sugarcane yield monitoring concepts and techniques from commercial yield monitoring systems
Jensen, T. A., Baillie, C., Bramley, R. G. V. and Panitz, J. H.. 2013. "An assessment of sugarcane yield monitoring concepts and techniques from commercial yield monitoring systems." International Sugar Journal: a technical and commercial periodical devoted entirely to the sugar and sweetener industry. 115 (1369), pp. 53-57.
Does a freely tillering wheat cultivar benefit more from elevated CO2 than a restricted tillering cultivar in a water-limited environment?
Tausz-Posch, Sabine, Dempsey, Raymond W., Seneweera, Saman, Norton, Robert M., Fitzgerald, Glenn and Tausz, Michael. 2015. "Does a freely tillering wheat cultivar benefit more from elevated CO2 than a restricted tillering cultivar in a water-limited environment?" European Journal of Agronomy. 64, pp. 21-28. https://doi.org/10.1016/j.eja.2014.12.009
Sugarcane yield monitoring: a protocol for yield map interpolation and key considerations in the collection of yield data
Bramley, R. G. V. and Jensen, T. A.. 2013. "Sugarcane yield monitoring: a protocol for yield map interpolation and key considerations in the collection of yield data." Bruce, R. C. (ed.) 35th Annual Conference of the Australian Society of Sugar Cane Technologists (ASSCT 2013). Townsville, Australia 16 - 18 Apr 2013 Mackay, Australia.
Can a wheat cultivar with high transpiration efficiency maintain its yield advantage over a near-isogenic cultivar under elevated CO2?
Tausz-Posch, Sabine, Seneweera, Saman, Norton, Robert M., Fitzgerald, Glenn J. and Tausz, Michael. 2012. "Can a wheat cultivar with high transpiration efficiency maintain its yield advantage over a near-isogenic cultivar under elevated CO2?" Field Crops Research. 133, pp. 160-166. https://doi.org/10.1016/j.fcr.2012.04.007
Rising atmospheric CO2 concentration affects mineral nutrient and protein concentration of wheat grain
Fernando, Nimesha, Panozzo, Joe, Tausz, Michael, Norton, Robert, Fitzgerald, Glenn and Seneweera, Saman. 2012. "Rising atmospheric CO2 concentration affects mineral nutrient and protein concentration of wheat grain." Food Chemistry. 133 (4), pp. 1307-1311. https://doi.org/10.1016/j.foodchem.2012.01.105
Wheat grain quality under increasing atmospheric CO2 concentrations in a semi-arid cropping system
Fernando, Nimesha, Panozzo, Joe, Tausz, Michael, Norton, Robert M., Fitzgerald, Glenn J., Myers, Samuel, Walker, Cassandra, Stangoulis, James and Seneweera, Saman. 2012. "Wheat grain quality under increasing atmospheric CO2 concentrations in a semi-arid cropping system ." Journal of Cereal Science. 56 (3), pp. 684-690. https://doi.org/10.1016/j.jcs.2012.07.010
Understanding crop physiology to select breeding targets and improve crop management under increasing atmospheric CO2 concentrations
Tausz, Michael, Tausz-Posch, Sabine, Norton, Robert M., Fitzgerald, Glenn J., Nicolas, Marc E. and Seneweera, Saman. 2013. "Understanding crop physiology to select breeding targets and improve crop management under increasing atmospheric CO2 concentrations ." Environmental and Experimental Botany. 88, pp. 71-80. https://doi.org/10.1016/j.envexpbot.2011.12.005
The effect of elevated CO2 on photochemistry and antioxidative defence capacity in wheat depends on environmental growing conditions: a FACE study
Tausz-Posch, Sabine, Borowiak, Klaudia, Dempsey, Raymond W., Norton, Robert M., Seneweera, Saman, Fitzgerald, Glenn J. and Tausz, Michael. 2013. "The effect of elevated CO2 on photochemistry and antioxidative defence capacity in wheat depends on environmental growing conditions: a FACE study." Environmental and Experimental Botany. 88, pp. 81-92. https://doi.org/10.1016/j.envexpbot.2011.12.002
Will intra-specific differences in transpiration efficiency in wheat be maintained in a high CO2 world? A FACE study
Tausz-Posch, Sabine, Norton, Robert M., Seneweera, Saman, Fitzgerald, Glenn J. and Tausz, Michael. 2013. "Will intra-specific differences in transpiration efficiency in wheat be maintained in a high CO2 world? A FACE study." Physiologia Plantarum. 148 (2), pp. 232-245. https://doi.org/10.1111/j.1399-3054.2012.01701.x
Intra-specific variation of wheat grain quality in response to elevated [CO2] at two sowing times under rain-fed and irrigation treatments
Fernando, Nimesha, Panozzo, Joe, Tausz, Michael, Norton, Robert M., Fitzgerald, Glenn J., Myers, Samuel, Nicolas, Marc E. and Seneweera, Saman. 2014. "Intra-specific variation of wheat grain quality in response to elevated [CO2] at two sowing times under rain-fed and irrigation treatments." Journal of Cereal Science. 59 (2), pp. 137-144. https://doi.org/10.1016/j.jcs.2013.12.002
Elevated CO2 alters grain quality of two bread wheat cultivars grown under different environmental conditions
Fernando, Nimesha, Panozzo, Joe, Tausz, Michael, Norton, Robert M., Neumann, Nathan, Fitzgerald, Glenn J. and Seneweera, Saman. 2014. "Elevated CO2 alters grain quality of two bread wheat cultivars grown under different environmental conditions." Agriculture, Ecosystems and Environment. 185, pp. 24-33. https://doi.org/10.1016/j.agee.2013.11.023
Advances in intelligent and autonomous systems to improve irrigation and fertiliser efficiency
Raine, Steven R. and McCarthy, Alison C.. 2014. "Advances in intelligent and autonomous systems to improve irrigation and fertiliser efficiency." Currie, L. D. and Christensen, C. L. (ed.) Nutrient management for the farm, catchment and community. Palmerston North, New Zealand 18 - 20 Feb 2014 Palmerston North, New Zealand.
Real-time, web-enabled adaptive control and monitoring of surface and overhead irrigation systems
McCarthy, Alison, Gillies, Malcolm and Smith, Rod. 2013. "Real-time, web-enabled adaptive control and monitoring of surface and overhead irrigation systems." Lamb, David (ed.) 1st Digital Rural Futures Conference: Smart Farms - Smart Regions (DRF 2013). Armidale, Australia 26 - 28 Jun 2013 Armidale, Australia.
VARIwise simulation of variable-rate irrigation of cotton via adaptive control: first results
McCarthy, Alison, Hancock, Nigel and Raine, Steven. 2010. "VARIwise simulation of variable-rate irrigation of cotton via adaptive control: first results." 15th Australian Cotton Conference 2010: Fashioning the Future. Gold Coast, Australia 10 - 12 Aug 2010 Gold Coast, Australia.
Development of a sensing system for automated cotton fruit load and vegetation estimation
McCarthy, Alison and Hancock, Nigel. 2013. "Development of a sensing system for automated cotton fruit load and vegetation estimation." Whitehouse, Mary (ed.) Inaugural Australian Cotton Research Conference 2013: Stimulating Science in Cotton. Narrabri, Australia 08 - 11 Sep 2013
Improving irrigation efficiency through precision irrigation in South East Queensland
Eberhard, J., McHugh, A., Scobie, M., Schmidt, E., McCarthy, A., Uddin, Md J., McKeering, L. and Poulter, R.. 2013. Improving irrigation efficiency through precision irrigation in South East Queensland. Toowoomba, Australia. University of Southern Queensland.
Real-time adaptive control of furrow irrigation: preliminary results of cotton field trial
McCarthy, Alison, Smith, Rod and Hancock, Nigel. 2012. "Real-time adaptive control of furrow irrigation: preliminary results of cotton field trial." Irrigation Australia Conference (IAL 2012). Adelaide, Australia 24 - 29 Jun 2012 Sydney, Australia.
Real-time model predictive control of surface irrigation for cotton: setup of field trial
McCarthy, Alison, Smith, Rod and Hancock, Nigel. 2012. "Real-time model predictive control of surface irrigation for cotton: setup of field trial." 16th Australian Cotton Conference (ACC 2012): Growing Better all the Time. Gold Coast, Australia 14 - 16 Aug 2012 Gold Coast, Australia.
Precision agriculture technologies for the Australian nut industries
McCarthy, Alison and Jensen, Troy. 2012. "Precision agriculture technologies for the Australian nut industries." 3rd Australian Nut Industry Research Forum (ANIC 2012). Brisbane, Australia 21 Sep 2012 Gold Coast, Australia.
Within block spatial variation in CCS: another potentially important consideration in the application of precision agriculture to sugarcane production
Bramley, R. G. V., Panitz, J. H., Jensen, T. A. and Baillie, C. P.. 2012. "Within block spatial variation in CCS: another potentially important consideration in the application of precision agriculture to sugarcane production." Bruce, R. C. (ed.) 34th Annual Conference of the Australian Society of Sugar Cane Technologists (ASSCT 2012). Palm Cove, Australia 01 - 04 May 2012 Mackay, Australia.
An assessment of sugarcane yield monitoring concepts and techniques from commercial yield monitoring systems
Jensen, T. A., Baillie, C., Bramley, R. G. V. and Panitz, J. H.. 2012. "An assessment of sugarcane yield monitoring concepts and techniques from commercial yield monitoring systems." Bruce, R. C. (ed.) 34th Annual Conference of the Australian Society of Sugar Cane Technologists (ASSCT 2012). Palm Cove, Australia 01 - 04 May 2012 Mackay, Australia.
Review of precision irrigation technologies and their application
Smith, R. J., Baillie, J. N., McCarthy, A. C., Raine, S. R. and Baillie, C. P.. 2010. Review of precision irrigation technologies and their application. Toowoomba, Australia. University of Southern Queensland.
Advanced process control of irrigation: the current state and an analysis to aid future development
McCarthy, Alison C., Hancock, Nigel H. and Raine, Steven R.. 2013. "Advanced process control of irrigation: the current state and an analysis to aid future development." Irrigation Science. 31 (3), pp. 183-192. https://doi.org/10.1007/s00271-011-0313-1
NPSI/IAL travel fellowship 2010: site-specific irrigation control and sensing systems
McCarthy, Alison. 2011. "NPSI/IAL travel fellowship 2010: site-specific irrigation control and sensing systems." Irrigation Australia. 26 (4), pp. 34-35.
Real-time data requirements for model-based adaptive control of irrigation scheduling in cotton
McCarthy, A. C., Hancock, N. H. and Raine, S. R.. 2011. "Real-time data requirements for model-based adaptive control of irrigation scheduling in cotton." Australian Journal of Multi-Disciplinary Engineering. 8 (2), pp. 189-206.
Improved irrigation of cotton via real-time, adaptive control of large mobile irrigation machines
McCarthy, Alison. 2010. Improved irrigation of cotton via real-time, adaptive control of large mobile irrigation machines. PhD Thesis Doctor of Philosophy. University of Southern Queensland.
VARIwise: a general-purpose adaptive control simulation framework for spatially and temporally varied irrigation at sub-field scale
McCarthy, Alison, Hancock, Nigel and Raine, Steven R.. 2010. "VARIwise: a general-purpose adaptive control simulation framework for spatially and temporally varied irrigation at sub-field scale." Computers and Electronics in Agriculture. 70 (1), pp. 117-128. https://doi.org/10.1016/j.compag.2009.09.011
Simulation of adaptive site-specific irrigation control performance with spatially variable rainfall
McCarthy, Alison, Hancock, Nigel and Raine, Steven R.. 2010. "Simulation of adaptive site-specific irrigation control performance with spatially variable rainfall." Montagu, Kelvin (ed.) Australian Irrigation Conference and Exibition 2010: One Water Many Futures. Sydney, Australia 08 - 10 Jun 2010 Sydney, Australia.
Simulation of site-specific irrigation control strategies with sparse input data
McCarthy, Alison, Hancock, Nigel and Raine, Steven R.. 2010. "Simulation of site-specific irrigation control strategies with sparse input data." 17th World Congress of the International Commission of Agricultural and Biosystems Engineering (CIGR 2010): Sustainable Biosystems Through Engineering. Quebec City, Canada 13 - 17 Jun 2010 Quebec, Canada.
Assessment of sugarcane yield monitoring technology for precision agriculture
Jensen, T., Baillie, C., Bramley, R., Di Bella, L., Whiteing, C. and Davis, R.. 2010. "Assessment of sugarcane yield monitoring technology for precision agriculture." Bruce, R. C. (ed.) 32nd Annual Conference of the Australian Society of Sugar Cane Technologists (ASSCT 2010). Bundaberg, Australia 11 - 14 May 2010 Brisbane, Australia.
Holistic control system design for large mobile irrigation machines
McCarthy, Alison, Hancock, Nigel and Raine, Steven. 2010. "Holistic control system design for large mobile irrigation machines." 16th Annual Conference on Mechatronics and Machine Vision in Practice (M2VIP 2010). Darussalam, Brunei 22 - 24 Jun 2010 Toowoomba, Australia.
Development of a simulation framework for variable-rate irrigation of cotton
McCarthy, Alison, Hancock, Nigel and Raine, Steven R.. 2008. "Development of a simulation framework for variable-rate irrigation of cotton." 14th Australian Cotton Conference: New Beginnings – Cotton in a Climate of Change. Gold Coast, Australia 12 - 14 Aug 2008 Narrabri, NSW, Australia.
Managing spatial and temporal variability in irrigated agriculture through adaptive control
Smith, R. J., Raine, Steven R., McCarthy, Alison and Hancock, Nigel. 2009. "Managing spatial and temporal variability in irrigated agriculture through adaptive control." Australian Journal of Multi-Disciplinary Engineering. 7 (1), pp. 79-90.
Exploration of data requirements for adaptive control of irrigation scheduling
McCarthy, Alison, Hancock, Nigel and Raine, Steven R.. 2009. "Exploration of data requirements for adaptive control of irrigation scheduling." Banhazi, T. M. and Saunders, C. (ed.) SEAg 2009: Agricultural Technologies In a Changing Climate. Brisbane, Australia 13 - 16 Sep 2009 Brisbane, Australia.
Towards evaluation of adaptive control systems for improved site-specific irrigation of cotton
McCarthy, Alison, Hancock, Nigel and Raine, Steven R.. 2008. "Towards evaluation of adaptive control systems for improved site-specific irrigation of cotton." Irrigation Australia 2008: Irrigation Association of Australia National Conference and Exhibition: Share the Water, Share the Benefits. Melbourne, Australia 20 - 22 May 2008 Hornsby, NSW, Australia.
Managing spatial and temporal variability in irrigated agriculture through adaptive control
Smith, R. J., Raine, Steven R., McCarthy, Alison and Hancock, Nigel. 2007. "Managing spatial and temporal variability in irrigated agriculture through adaptive control." Banhazi, T. M. and Saunders, C. (ed.) SEAg 2007: Agriculture and Engineering - Challenge Today, Technology Tomorrow. Adelaide, Australia 24 - 26 Sep 2007 Australia.