Commercialisation of precision agriculture technologies in the macadamia industry

Project report

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.
Title

Commercialisation of precision agriculture technologies in the macadamia industry

Report TypeProject report
AuthorsRees, Steven (Author), Dunn, Mark (Author), Werkman, Peter (Author) and McCarthy, Cheryl (Author)
Institution of OriginUniversity of Southern Queensland
Number of Pages45
SeriesHAL Project
Year2009
PublisherUniversity of Southern Queensland
Place of PublicationToowoomba, Australia
Abstract

A prototype vision-based yield monitor has been developed for the macadamia industry. The system estimates yield for individual trees by detecting nuts and their harvested location. The technology was developed by the National Centre for Engineering in Agriculture, University of Southern Queensland for the purpose of reducing labour and costs in varietal assessment trials where yield for individual trees are required to be measured to indicate tree performance. The project was commissioned by Horticulture Australia Limited.

KeywordsAustralia; macadamia industry; yields; calculations; monitoring
ANZSRC Field of Research 2020401304. Photogrammetry and remote sensing
300207. Agricultural systems analysis and modelling
460306. Image processing
Public Notes

No evidence of copyright restrictions preventing deposit. Author retains copyright

Byline AffiliationsNational Centre for Engineering in Agriculture
Permalink -

https://research.usq.edu.au/item/q1xy3/commercialisation-of-precision-agriculture-technologies-in-the-macadamia-industry

Log in to edit

Download files

Published Version
HAL_Final_report.pdf
File access level: Anyone

  • 1882
    total views
  • 717
    total downloads
  • 5
    views this month
  • 2
    downloads this month

Export as

Related outputs

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
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
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
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.
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
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.
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
Animal management in the Australian rangelands
Finch, Neal, Murray, Peter, Dunn, Mark and Billingsley, John. 2008. "Animal management in the Australian rangelands." SPIE Newsroom. https://doi.org/10.1117/2.1200801.0960
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
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
Precision weed detection via colour and depth data fusion in real-time for automatic spot spraying
Rees, Steven. 2015. Precision weed detection via colour and depth data fusion in real-time for automatic spot spraying. PhD Thesis Doctor of Philosophy. University of Southern Queensland.
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
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
Coals seam gas (CSG) in agriculture - a review: technical and market analysis for Australia
Yusaf, Talal, Hamawand, Ihsan, Schmidt, Erik, Binnie, James, Rees, Steven and Chakrabarty, Sayan. 2014. "Coals seam gas (CSG) in agriculture - a review: technical and market analysis for Australia ." Sustainable Energy Technologies and Assessments. 8, pp. 149-158. https://doi.org/10.1016/j.seta.2014.08.005
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.
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.
Machine vision for animal identification
Dunn, Mark. 2007. Machine vision for animal identification. Toowoomba, Australia. University of Southern Queensland.
Review of precision livestock farming (PLF) technologies for the Australian pig industry
Banhazi, Thomas, Dunn, Mark, Cook, Peter and Durack, Matthew. 2003. Review of precision livestock farming (PLF) technologies for the Australian pig industry. Toowoomba, Australia. University of Southern Queensland.
Technologies for cattle monitoring - proof of concept study
Rees, S.. 2008. Technologies for cattle monitoring - proof of concept study. Toowoomba, Australia. University of Southern Queensland.
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.
Using video image analysis to count hens in cages and reduce egg breakage on collection belts
Cronin, G. M., Borg, S. S. and Dunn, M. T.. 2008. "Using video image analysis to count hens in cages and reduce egg breakage on collection belts." Animal Production Science. 48 (7), pp. 768-772. https://doi.org/10.1071/EA07404
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.
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
Field testing of vision based macadamia yield monitoring
Dunn, Mark, Billingsley, John and Bell, David. 2005. "Field testing of vision based macadamia yield monitoring." Billingsley, John (ed.) 12th Annual Conference on Mechatronics and Machine Vision in Practice (M2VIP 2005). Manila, Philippines 29 Nov - 01 Dec 2005 Hertfordshire, England.
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
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.
Strain specific differences in parameters of energy balance are related to the onset of diet-induced obesity in young male mice
Hesse, Deike, Dunn, Mark, Billingsley, John, Withers, Kerry, Klingenspor, Martin and Rozman, Jan. 2007. "Strain specific differences in parameters of energy balance are related to the onset of diet-induced obesity in young male mice." 15th European Congress on Obesity. Budapest, Hungary 22 - 25 Apr 2007 London, United Kingdom. https://doi.org/10.1038/sj.ijo.0803597
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.
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.
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.
Behavioural mechanisms affecting energy regulation in mice prone or resistant to diet-induced obesity
Hesse, Deike, Dunn, Mark, Heldmaier, Gerhard, Klingenspor, Martin and Rozman, Jan. 2010. "Behavioural mechanisms affecting energy regulation in mice prone or resistant to diet-induced obesity." Physiology and Behavior. 99 (3), pp. 370-380. https://doi.org/10.1016/j.physbeh.2009.12.001
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.
Automated macadamia nut orchard yield monitoring
Dunn, Mark and Billingsley, John. 2005. "Automated macadamia nut orchard yield monitoring." Billingsley, John (ed.) 12th Annual Conference on Mechatronics and Machine Vision in Practice (M2VIP 2005). Manila, Philippines 29 Nov - 01 Dec 2005 Hertfordshire, England.
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.
Robotics in agriculture and forestry
Billingsley, John, Visala, Arto and Dunn, Mark. 2008. "Robotics in agriculture and forestry." Siciliano, Bruno and Khatib, Oussama (ed.) Springer handbook of robotics. Berlin, Germany. Springer. pp. 1065-1077
The use of machine vision for assessment of fodder quality
Dunn, Mark T. and Billingsley, John. 2007. "The use of machine vision for assessment of fodder quality." Bradbeer, Robin and Ku, Kenneth (ed.) 14th Annual Conference on Mechatronics and Machine Vision In Practice (M2VIP 2007). Xiamen, China 03 - 05 Dec 2007 Hong Kong. https://doi.org/10.1109/MMVIP.2007.4430739
Evaporation, seepage and water quality management in storage dams: a review of research methods
Craig, Ian, Aravinthan, Vasantha, Baillie, Craig Peter, Beswick, Alan, Barnes, Geoff, Bradbury, Ron, Connell, Luke, Cooper, Paul, Fellows, Christopher, Fitzmaurice, Li, Foley, Joseph P., Hancock, Nigel, Lamb, David, Morrison, Pippa, Mossad, Ruth, Misra, R. K., Pittaway, Pam, Prime, Emma, Rees, Steve, ..., Turnbull, David. 2007. "Evaporation, seepage and water quality management in storage dams: a review of research methods." Environmental Health. 7 (3), pp. 84-97.
Vision based macadamia yield assessment
Billingsley, John, Dunn, Mark and Bell, David. 2006. "Vision based macadamia yield assessment." Sensor Review. 26 (4), pp. 312-317. https://doi.org/10.1108/02602280610692024
Using machine vision classification to control access of animals to water
Finch, N. A., Murray, P. J., Dunn, M. T. and Billingsley, J.. 2006. "Using machine vision classification to control access of animals to water." Animal Production Science. 46 (6-7), pp. 837-839. https://doi.org/10.1071/EA05325
Control of watering point access using machine vision classification of animals
Finch, Neal A., Murray, Peter J., Dunn, Mark T. and Billingsley, John. 2006. "Control of watering point access using machine vision classification of animals." Transactions of the Western Section of the Wildlife Society. 42, pp. 16-19.
Machine vision system for counting macadamia nuts
Dunn, Mark and Billingsley, John. 2003. "Machine vision system for counting macadamia nuts." Roberts, Jonathan and Wyeth, Gordon (ed.) 2003 Australasian Conference on Robotics and Automation (ACRA 2003). Brisbane, Australia 01 - 03 Dec 2003 Brisbane, Australia.
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.
Application of machine vision technology to identification of oestrous in the Julia Creek dunnart (Sminthopsis douglasi)
Bjursell, A., Dunn, M., Withers, K., Senior, G., Lundie-Jenkins, G. and Billingsley, J.. 2005. "Application of machine vision technology to identification of oestrous in the Julia Creek dunnart (Sminthopsis douglasi)." Cree, Alison (ed.) 22nd Annual Conference of the Australian and New Zealand Society for Comparative Physiology and Biochemistry (ANZSCPB 2005). Dunedin, New Zealand 09 - 11 Dec 2005 New Zealand.
Machine vision classification of animals
Dunn, Mark, Billingsley, John and Finch, Neal. 2003. "Machine vision classification of animals." Billingsley, John (ed.) 10th Annual Conference on Mechatronics and Machine Vision in Practice (MViP 2003). Perth, Australia 09 - 11 Dec 2003 Research Studies Press.
Unusual vision - machine vision applications at the NCEA
Billingsley, John and Dunn, Mark. 2005. "Unusual vision - machine vision applications at the NCEA." Sensor Review. 25 (3), pp. 202-208. https://doi.org/10.1108/02602280510606480