A/Pr Cheryl McCarthy

A/Pr Cheryl McCarthy
NameA/Pr Cheryl McCarthy
Email Addresscheryl.mccarthy@unisq.edu.au
Job TitleAssociate Professor (Mechatronic Engineering)
QualificationsBEng USQ, PhD USQ
DepartmentCentre for Agricultural Engineering (Operations)
Centre for Agricultural Engineering (Research)
ORCIDhttps://orcid.org/0000-0003-3297-7425
  • 54006
    total views of outputs
  • 11882
    total downloads of outputs
  • 282
    views of outputs this month
  • 47
    downloads of outputs this month

Biography

Dr Cheryl McCarthy is a Senior Research Fellow in Mechatronic Engineering and has been a full-time researcher since completing her PhD in 2009. Cheryl's research focuses on automation and machine vision in agriculture for the purpose of developing new technologies for use on-farm.

Employment

PositionOrganisationFromTo
Senior Research FellowUniversity of Southern Queensland20192023
Research FellowUniversity of Southern Queensland20112018

Expertise

machine vision, robotics, image analysis, software, sensing

Fields of Research

  • 300299. Agriculture, land and farm management not elsewhere classified
  • 400899. Electrical engineering not elsewhere classified
BEng
USQ
2005
PhD
USQ
2004

Current Supervisions

Research TitleSupervisor TypeLevel of StudyCommenced
Pre-visual common root rot disease detection in wheat using NIR spectroscopy and UAV-based multispectral imageryPrincipal SupervisorDoctoral2021

Completed Supervisions

Research TitleSupervisor TypeLevel of StudyCompleted
Precision Agriculture: Exploration of machine learning approaches for assessing mango crop qualityAssociateDoctoral2020
Orchard mapping and mobile robot localisation using on-board camera and laser scanner data fusionAssociateDoctoral2016
Precision weed detection via colour and depth fusion in real-time for automatic spot sprayingPrincipalDoctoral2016
Discrimination of wheat crown rot utilising wavelet based models in the NIR spectrumPrincipal SupervisorDoctoral2020
Automatic plant features recognition using stereo vision for crop monitoringAssociate SupervisorDoctoral2018
Machine vision tracking of water advance in cotton surface irrigation with an unmanned aerial systemPrincipal SupervisorDoctoral2018
Project titleDetailsYear
Farm trials for machine vision of chicken welfarehttps://agrifutures.com.au/related-projects/farm-trials-for-machine-vision-of-chicken-welfare/2023
Hen health status by machine vision on free range farmshttps://www.australianeggs.org.au/what-we-do/leading-research/monitoring-hen-health-with-machine-vision2021
Feasibility of induction automation R&Dhttps://www.mla.com.au/research-and-development/reports/2019/feasibility-of-induction-automation-rd---phase-1/2019
Harvester losses assessment by real-time machine vision systemshttps://www.growag.com/listings/research-project/harvester-losses-assessment-by-real-time-machine-vision-systems-12019
Precision management for improved cotton qualityhttps://www.growag.com/listings/research-project/precision-management-for-improved-cotton-quality2017
Novel detection of chicken welfare using machine visionhttps://agrifutures.com.au/related-projects/novel-detection-of-chicken-welfare-using-machine-vision/2017
Field ready, optimised precision weed identification sensor systemhttps://elibrary.sugarresearch.com.au/handle/11079/180322016
Item reviewedYear
Advances in Agri-Food Robotics2024

Near-infrared spectroscopy and deep neural networks for early common root rot detection in wheat from multi-season trials

Xiong, Yiyi, McCarthy, Cheryl, Humpal, Jacob and Percy, Cassandra. 2024. "Near-infrared spectroscopy and deep neural networks for early common root rot detection in wheat from multi-season trials ." Agronomy Journal. 116 (5), pp. 2370-2390. https://doi.org/10.1002/agj2.21648

Non-visual common root rot disease detection using NIR spectrum and machine learning methods

Xiong, Yiyi, McCarthy, Cheryl, Humpal, Jacob and Percy, Cassandra. "Non-visual common root rot disease detection using NIR spectrum and machine learning methods." 2023 11th International Conference on Agro-Geoinformatics (Agro-Geoinformatics). Wuhan, China 25 - 28 Jul 2023 IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/https://ieeexplore.ieee.org/xpl/conhome/10233256/proceeding

A review on common root rot of wheat and barley in Australia

Xiong, Yiyi, McCarthy, Cheryl, Humpal, Jacob and Percy, Cassandra. 2023. "A review on common root rot of wheat and barley in Australia." Plant Pathology. 72 (8), pp. 1347-1364. https://doi.org/10.1111/ppa.13777

Space Agriculture: Sensing Crops in Space

Humpal, Jacob, McCarthy, Cheryl, Baillie, Craig, Percy, Cassy and Brett, Peter. 2022. "Space Agriculture: Sensing Crops in Space." GRDC Update Papers.

Preliminary evaluation of real-time sensing of harvester losses by machine vision

McCarthy Chery. 2022. "Preliminary evaluation of real-time sensing of harvester losses by machine vision ." 43rd Annual Conference of the Australian Society of Sugar Cane Technologists (ASSCT 2022). Mackay, Australia 19 - 22 Apr 2022 Australia. Australian Society of Sugar Cane Technologists. pp. 108-110

Detection of crown rot in wheat utilising near-infrared spectroscopy: towards remote and robotic sensing

Humpal, Jacob, McCarthy, Cheryl, Percy, Cassy and Thomasson, J. Alex. 2020. "Detection of crown rot in wheat utilising near-infrared spectroscopy: towards remote and robotic sensing." Thomasson, J. Alex and Torres-Rua, Alfonso F. (ed.) Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping V (SPIE 2020). Online 27 Apr - 08 May 2020 United States. https://doi.org/10.1117/12.2557949

NIR sensing and machine learning to rapidly assess crown rot in wheat

Humpal, Jacob, McCarthy, Cheryl, Percy, Cassandra and Thomasson, J. Alex. 2020. "NIR sensing and machine learning to rapidly assess crown rot in wheat." GRDC Grains Research Update: Driving Profit Through Research. Goondiwindi, Australia 03 - 04 Mar 2020 Australia.

Deep learning for real‑time fruit detection and orchard fruit load estimation: benchmarking of ‘MangoYOLO’

Koirala, A, Walsh, K.B, Wang, Z and McCarthy, C. 2019. "Deep learning for real‑time fruit detection and orchard fruit load estimation: benchmarking of ‘MangoYOLO’." Precision Agriculture. 20 (6), pp. 1107-1135. https://doi.org/10.1007/s11119-019-09642-0

Deep learning - method overview and review of use for fruit detection and yield estimation

Koirala, Anand, Walsh, Kerry B., Wang, Zhenglin and McCarthy, Cheryl. 2019. "Deep learning - method overview and review of use for fruit detection and yield estimation." Computers and Electronics in Agriculture. 162, pp. 219-234. https://doi.org/10.1016/j.compag.2019.04.017

Machine vision learning for crop disease and quality parameters

Humpal, Jacob, McCarthy, Cheryl, Thomasson, J. Alex and Percy, Cassy. 2018. "Machine vision learning for crop disease and quality parameters." 21st Precision Agriculture Symposium (2018). Adelaide, Australia Australia.

Row and water front detection from UAV thermal-infrared imagery for furrow irrigation monitoring

Long, Derek, McCarthy, Cheryl and Jensen, Troy. 2016. "Row and water front detection from UAV thermal-infrared imagery for furrow irrigation monitoring." 2016 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 2016). Banff, Canada 12 - 15 Jul 2016 https://doi.org/10.1109/AIM.2016.7576783

Orchard mapping and mobile robot localisation using on-board camera and laser scanner data fusion – Part B: mapping and localisation

Shalal, Nagham, Low, Tobias, McCarthy, Cheryl and Hancock, Nigel. 2015. "Orchard mapping and mobile robot localisation using on-board camera and laser scanner data fusion – Part B: mapping and localisation." Computers and Electronics in Agriculture. 119, pp. 267-278. https://doi.org/10.1016/j.compag.2015.09.026

Orchard mapping and mobile robot localisation using on-board camera and laser scanner data fusion – Part A: tree detection

Shalal, Nagham, Low, Tobias, McCarthy, Cheryl and Hancock, Nigel. 2015. "Orchard mapping and mobile robot localisation using on-board camera and laser scanner data fusion – Part A: tree detection." Computers and Electronics in Agriculture. 119, pp. 254-266. https://doi.org/10.1016/j.compag.2015.09.025

A preliminary evaluation of vision and laser sensing for tree trunk detection and orchard mapping

Shalal, Nagham, Low, Tobias, McCarthy, Cheryl and Hancock, Nigel. 2013. "A preliminary evaluation of vision and laser sensing for tree trunk detection and orchard mapping." Katupitiya, Jayantha, Guivant, Jose and Eaton, Ray (ed.) Australasian Conference on Robotics and Automation (ACRA 2013). Sydney, Australia 02 - 04 Dec 2013 Australia.

Automatic plant branch segmentation and classification using vesselness measure

Mohammed Amean, Z., Low, T., McCarthy, C. and Hancock, N.. 2013. "Automatic plant branch segmentation and classification using vesselness measure." Katupitiya, Jayantha, Guivant, Jose and Eaton, Ray (ed.) Australasian Conference on Robotics and Automation (ACRA 2013). Sydney, Australia 02 - 04 Dec 2013 Australia.

A review of autonomous navigation systems in agricultural environments

Shalal, N., Low, T., McCarthy, C. and Hancock, N.. 2013. "A review of autonomous navigation systems in agricultural environments." SEAg 2013: Innovative Agricultural Technologies for a Sustainable Future. Barton, Australia 22 - 25 Sep 2013

Evaluation of stereovision for extracting plant features

Mohammed Amean, Z., Low, T., McCarthy, C. and Hancock, N.. 2013. "Evaluation of stereovision for extracting plant features." SEAg 2013: Innovative Agricultural Technologies for a Sustainable Future. Barton, Australia 22 - 25 Sep 2013 Canberra, Australia.

Preliminary evaluation of shape and colour image sensing for automated weed identification in sugarcane

McCarthy, Cheryl, Rees, Steven and Baillie, Craig. 2012. "Preliminary evaluation of shape and colour image sensing for automated weed identification in sugarcane." Bruce, R. C. (ed.) 34th Annual Conference of the Australian Society of Sugar Cane Technologists (ASSCT 2012). Palm Cove, Australia 01 - 04 May 2012 Australia.

Development and evaluation of a prototype precision spot spray system using image analysis to target guinea grass in sugarcane

Rees, S. J., McCarthy, C. L., Baillie, C. P., Burgos-Artizzu, X. P. and Dunn, M. T.. 2011. "Development and evaluation of a prototype precision spot spray system using image analysis to target guinea grass in sugarcane." Australian Journal of Multi-Disciplinary Engineering. 8 (2), pp. 97-106.

Apparatus and infield evaluations of a prototype machine vision system for cotton plant internode length measurement

McCarthy, Cheryl, Hancock, Nigel and Raine, Steven R.. 2010. "Apparatus and infield evaluations of a prototype machine vision system for cotton plant internode length measurement." Journal of Cotton Science. 14 (4), pp. 221-232.

Machine vision-based weed spot spraying: a review and where next for sugarcane?

McCarthy, Cheryl, Rees, Steven and Baillie, Craig. 2010. "Machine vision-based weed spot spraying: a review and where next for sugarcane?" Bruce, R. C. (ed.) 32nd Annual Conference of the Australian Society of Sugar Cane Technologists (ASSCT 2010). Bundaberg, Australia 11 - 14 May 2010 Australia.

Applied machine vision of plants: a review with implications for field deployment in automated farming operations

McCarthy, C. L., Hancock, N. H. and Raine, S. R.. 2010. "Applied machine vision of plants: a review with implications for field deployment in automated farming operations." Intelligent Service Robotics. 3 (4), pp. 209-217. https://doi.org/10.1007/s11370-010-0075-2

Cattle liveweight estimation using machine vision assessment of objective body measurements: first results

McCarthy, C., Billingsley, J., Finch, N., Murray, P. and Gaughan, J.. 2010. "Cattle liveweight estimation using machine vision assessment of objective body measurements: first results." 28th Biennial Australian Society of Animal Production Conference. Armidale, Australia 11 - 15 Jul 2010 Brisbane, Australia.

Automated internode length measurement of cotton plants under field conditions

McCarthy, C. L., Hancock, N. H. and Raine, S. R.. 2009. "Automated internode length measurement of cotton plants under field conditions." Transactions of the ASABE. 52 (6), pp. 2093-2103.

Commercialisation of precision agriculture technologies in the macadamia industry

Rees, Steven, Dunn, Mark, Werkman, Peter and McCarthy, Cheryl. 2009. Commercialisation of precision agriculture technologies in the macadamia industry. Toowoomba, Australia. University of Southern Queensland.

Applied machine vision in agriculture at the NCEA

McCarthy, Cheryl and Billingsley, John. 2009. "Applied machine vision in agriculture at the NCEA." Banhazi, T. M. and Saunders, C. (ed.) SEAg 2009: Agricultural Technologies In a Changing Climate. Brisbane, Australia 13 - 16 Sep 2009 Brisbane, Australia.

Development of a prototype precision spot spray system using image analysis and plant identification technology

Rees, Steven, McCarthy, Cheryl, Artizzu, X. P. B., Baillie, Craig and Dunn, Mark. 2009. "Development of a prototype precision spot spray system using image analysis and plant identification technology." Banhazi, T. M. and Saunders, C. (ed.) SEAg 2009: Agricultural Technologies In a Changing Climate. Brisbane, Australia 13 - 16 Sep 2009 Brisbane, Australia.

On-the-go machine vision sensing of cotton plant geometric parameters: first results

McCarthy, Cheryl, Hancock, Nigel and Raine, Steven. 2008. "On-the-go machine vision sensing of cotton plant geometric parameters: first results." Billingsley, John and Bradbeer, Robin (ed.) 13th Annual Conference on Mechatronics and Machine Vision in Practice. (M2VIP 2006). Toowoomba, Australia 05 - 07 Dec 2006 Germany. pp. 305-312 https://doi.org/10.1007/978-3-540-74027-8_26

A preliminary field evaluation of an automated vision-based plant geometry measurement system

McCarthy, Cheryl, Hancock, Nigel and Raine, Steven R.. 2007. "A preliminary field evaluation of an automated vision-based plant geometry measurement system." Prusinkiewicz, Przemyslaw, Hanan, Jim S. and Lane, Brendan (ed.) 5th International Workshop on Functional Structural Plant Models (FSPM07). Napier, New Zealand 04 - 09 Nov 2007

Automated machine vision sensing of plant structural parameters

McCarthy, C. L., Hancock, Nigel and Raine, Steven R.. 2007. "Automated machine vision sensing of plant structural parameters." Biological Sensorics 2007: Critical Technologies for Future Biosystems. Minneapolis, Australia 15 - 17 Jun 2007 St. Joseph, MI, United States.

On-the-go machine vision sensing of cotton plant geometric parameters: first results

McCarthy, Cheryl, Hancock, Nigel and Raine, Steven R.. 2006. "On-the-go machine vision sensing of cotton plant geometric parameters: first results." Billingsley, John (ed.) 13th Annual Conference on Mechatronics and Machine Vision in Practice. (M2VIP 2006). Toowoomba, Australia 05 - 07 Dec 2006 Berlin, Heidelberg.

A preliminary evaluation of machine vision sensing of cotton nodes for automated irrigation control

McCarthy, Cheryl, Hancock, Nigel and Raine, Steven R.. 2006. "A preliminary evaluation of machine vision sensing of cotton nodes for automated irrigation control." Irrigation Australia 2006: Irrigation Association of Australia National Conference and Exhibition. Brisbane, Australia 09 - 11 May 2006 Brisbane.