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Dr Cheryl McCarthy

Dr Cheryl McCarthy
Name Cheryl McCarthy
Position Senior Research Fellow
Section Centre for Agricultural Engineering (Operations)
Office P9-132
Location Toowoomba Campus
Phone +61 7 4631 2297
Extension 2297
Email
Qualifications BEng USQ , PhD USQ
Homepage https://eportfolio.usq.edu.au/user/view.php?id=14096
The views expressed on staff homepages may not reflect the views of the University.

Fields of Research (FoR)

  • Agriculture, Land and Farm Management not elsewhere classified ( 070199 )
  • Electrical and Electronic Engineering not elsewhere classified ( 090699 )
  • Electrical Engineering not elsewhere classified ( 400899 )
  • Agriculture ( 300299 )
  • Electrical Engineering ( 400800 )
  • Agriculture ( 300200 )

Research interests
Application of mechatronic engineering and machine vision to agriculture, imaging spectrometry and aerial photography.

USQ Research affiliations

  • National Centre for Engineering in Agriculture (NCEA)

Research most recent
Rees, S., MCCARTHY, C., Artizzu, X., Baillie, C. and Dunn, M. (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, vol. 8, no. 2, pp. 97-106.

MCCARTHY, C. L., Hancock, N. H. and Raine, S. R. (2010) Apparatus and infield evaluations of a prototype machine vision system for cotton plant internode length measurement, Journal of Cotton Science, vol. 14, pp. 221-232.

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, vol. 3 (4), pp. 209-217.


Research most notable
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, vol. 52 (6), pp. 2093-2103.


Publications in ePrints

Humpal, Jacob ORCID: https://orcid.org/0000-0002-7525-5169 and McCarthy, CherylORCID: https://orcid.org/0000-0003-3297-7425 and Baillie, Craig and Percy, CassyORCID: https://orcid.org/0000-0002-7807-6764 and Brett, Peter (2022) Space Agriculture: Sensing Crops in Space. GRDC Update Papers. pp. 1-5.

Humpal, Jacob ORCID: https://orcid.org/0000-0002-7525-5169 and McCarthy, CherylORCID: https://orcid.org/0000-0003-3297-7425 and Percy, CassyORCID: https://orcid.org/0000-0002-7807-6764 and Thomasson, J. Alex (2020) Detection of crown rot in wheat utilising near-infrared spectroscopy: towards remote and robotic sensing. In: Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping V (SPIE 2020), 27 April - 8 May 2020, Online.

Humpal, Jacob ORCID: https://orcid.org/0000-0002-7525-5169 and McCarthy, CherylORCID: https://orcid.org/0000-0003-3297-7425 and Percy, CassandraORCID: https://orcid.org/0000-0002-7807-6764 and Thomasson, J. Alex (2020) NIR sensing and machine learning to rapidly assess crown rot in wheat. In: GRDC Grains Research Update: Driving Profit Through Research, 3 Mar - 4 Mar 2020, Goondiwindi, Australia.

Koirala, Anand and Walsh, Kerry B. and Wang, Zhenglin and McCarthy, CherylORCID: https://orcid.org/0000-0003-3297-7425 (2019) Deep learning - method overview and review of use for fruit detection and yield estimation. Computers and Electronics in Agriculture, 162. pp. 219-234. ISSN 0168-1699

Koirala, A and Walsh, K.B and Wang, Z and McCarthy, CORCID: https://orcid.org/0000-0003-3297-7425 (2019) Deep learning for real‑time fruit detection and orchard fruit load estimation: benchmarking of ‘MangoYOLO’. Precision Agriculture, 20 (6). pp. 1107-1135. ISSN 1385-2256

View full listing in ePrints

Research supervisor in the area of:

  • Agriculture, Land and Farm Management not elsewhere classified ( 070199 )
  • Electrical and Electronic Engineering not elsewhere classified ( 090699 )
  • Electrical Engineering not elsewhere classified ( 400899 )
  • Agriculture ( 300299 )
  • Electrical Engineering ( 400800 )
  • Agriculture ( 300200 )


Research topics