Development and application of process-based simulation models for cotton production: A review of past, present, and future directions KR Thorp, S Ale, MP Bange, EM Barnes, G Hoogenboom, RJ Lascano, ... Journal of Cotton Science 18 (1), 10-47, 2014 | 114 | 2014 |
Review of precision irrigation technologies and their application RJ Smith, JN Baillie, AC McCarthy, SR Raine, CP Baillie National Centre for Engineering in Agriculture Publication 1003017 (1), 2010 | 109 | 2010 |
Simulation of irrigation control strategies for cotton using Model Predictive Control within the VARIwise simulation framework AC McCarthy, NH Hancock, SR Raine Computers and electronics in agriculture 101, 135-147, 2014 | 103 | 2014 |
Advanced process control of irrigation: the current state and an analysis to aid future development AC McCarthy, NH Hancock, SR Raine Irrigation Science 31, 183-192, 2013 | 75 | 2013 |
VARIwise: A general-purpose adaptive control simulation framework for spatially and temporally varied irrigation at sub-field scale AC McCarthy, NH Hancock, SR Raine Computers and Electronics in Agriculture 70 (1), 117-128, 2010 | 73 | 2010 |
Managing spatial and temporal variability in irrigated agriculture through adaptive control RJ Smith, SR Raine, AC McCarthy, NH Hancock Australian Journal of Multi-disciplinary Engineering 7 (1), 79-90, 2009 | 35 | 2009 |
Development and simulation of sensor-based irrigation control strategies for cotton using the VARIwise simulation framework AC McCarthy, NH Hancock, SR Raine Computers and electronics in agriculture 101, 148-162, 2014 | 30 | 2014 |
Field evaluation of automated site-specific irrigation for cotton and perennial ryegrass using soil-water sensors and Model Predictive Control A McCarthy, J Foley, P Raedts, J Hills Agricultural Water Management 277, 108098, 2023 | 9 | 2023 |
Automated variety trial plot growth and flowering detection for maize and soybean using machine vision A McCarthy, S Raine Computers and Electronics in Agriculture 194, 106727, 2022 | 9 | 2022 |
Digital strategies for nitrogen management in grain production systems: lessons from multi-method assessment using on-farm experimentation AF Colaço, BM Whelan, RGV Bramley, J Richetti, M Fajardo, ... Precision Agriculture 25 (2), 983-1013, 2024 | 7 | 2024 |
Advances in intelligent and autonomous systems to improve irrigation and fertiliser efficiency SR Raine, AC McCarthy Occasional Report 27, 1-11, 2014 | 7 | 2014 |
Real-time data requirements for model-based adaptive control of irrigation scheduling in cotton AC McCarthy, NH Hancock, SR Raine Australian Journal of Multi-Disciplinary Engineering 8 (2), 189-206, 2011 | 7 | 2011 |
Improving irrigation efficiency through precision irrigation in South East Queensland J Eberhard, A McHugh, M Scobie, E Schmidt, A McCarthy, MJ Uddin, ... University of Southern Queensland through the National Centre for …, 2013 | 5 | 2013 |
Improved irrigation of cotton via real-time, adaptive control of large mobile irrigation machines A McCarthy University of Southern Queensland, 2010 | 5 | 2010 |
Towards evaluation of adaptive control systems for improved site-specific irrigation of cotton A McCarthy, N Hancock, SR Raine Irrigation Australia 2008: Irrigation Association of Australia National …, 2008 | 5 | 2008 |
Advancing automation in the agricultural working environment. P Brett, A McCarthy, C McCarthy, D Long, M Gillies, J Foley, C Baillie | 3 | 2019 |
Precision irrigation: trials to assess impacts on crop yield. C Hedley, J Ekanayake, A McCarthy | 3 | 2017 |
Holistic control system design for large mobile irrigation machines A McCarthy, N Hancock, S Raine Machine Vision and Mechatronics in Practice, 177-184, 2015 | 3 | 2015 |
Potential for machine vision of grain crop features for nitrogen assessment A McCarthy, A Colao, J Richetti, C Baillie 20th Australian Agronomy Conference, 2022 | 2 | 2022 |
Smartphone apps under development to aid pest monitoring A McCarthy, D Long, P Grundy Proceedings of the GRDC Grains Research Update: Driving Profit Through Research, 2020 | 2 | 2020 |