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

Paper


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
Paper/Presentation Title

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

Presentation TypePaper
AuthorsLong, Derek (Author), McCarthy, Cheryl (Author) and Jensen, Troy (Author)
Journal or Proceedings TitleProceedings of the 2016 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 2016)
ERA Conference ID51121
Number of Pages6
Year2016
ISBN9781509020645
9781509020652
Digital Object Identifier (DOI)https://doi.org/10.1109/AIM.2016.7576783
Web Address (URL) of Paperhttp://ieeexplore.ieee.org/document/7576783/
Conference/Event2016 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 2016)
IEEE/ASME International Conference on Advanced Intelligent Mechatronics
Event Details
2016 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 2016)
Event Date
12 to end of 15 Jul 2016
Event Location
Banff, Canada
Event Details
IEEE/ASME International Conference on Advanced Intelligent Mechatronics
AIM
Abstract

Water efficiency in furrow irrigation has been improved by the introduction of feed-back sensing systems, which help inform the decision on when to cut the water off for optimal use, but typically only a limited number of furrows can be monitored using existing sensors. The aim of this research is to develop automatic machine vision algorithms for UAV (also known as Remotely Piloted Aircraft, or RPA) thermal imagery, collected as the UAV traverses overhead of a cotton crop, to monitor furrow irrigation progress of large areas of a field. An algorithm was developed for overhead thermal imagery of a cotton field with high canopy closure. A test flight with a < 2kg multirotor UAV was performed in late February, 2016 to assess the accuracy of the algorithm. It was found that at lower sensing heights (20 m), most water fronts were being detected, with a significant drop in performance at the higher altitude of 30 m. The algorithm also estimated the row direction and spacing relative to the camera, and used the estimates to calculate the row number for each detected front. The average error in water front position estimation was between 1.3 and 2 m which is well within limits for practical irrigation management. The water stream was found to be visually discernible in all crop rows captured in the overhead thermal imagery, despite the water stream not being visually discernible in overhead color imagery captured in the same UAV flights, due to the level of canopy closure.

Keywordsimage edge detection, cameras, irrigation, unmanned aerial vehicles, sensors, cotton
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 2020409901. Agricultural engineering
460306. Image processing
Public Notes

© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Byline AffiliationsNational Centre for Engineering in Agriculture
Institution of OriginUniversity of Southern Queensland
Permalink -

https://research.usq.edu.au/item/q39v4/row-and-water-front-detection-from-uav-thermal-infrared-imagery-for-furrow-irrigation-monitoring

  • 1351
    total views
  • 10
    total downloads
  • 2
    views this month
  • 0
    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
Tactile sensing for tissue discrimination in robotic meat cutting: A feasibility study.
Aly, Basem Adel, Low, Tobias, Long, Derek, Brett, Peter and Baillie, Craig. 2024. "Tactile sensing for tissue discrimination in robotic meat cutting: A feasibility study. " Journal of Food Engineering. 363. https://doi.org/10.1016/j.jfoodeng.2023.111754
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
Robotics and sensing technologies in red meat processing: A review
Aly, Basem Adel, Low, Tobias, Long, Derek, Baillie, Craig and Brett, Peter. 2023. "Robotics and sensing technologies in red meat processing: A review." Trends in Food Science and Technology. 137, pp. 142-155. https://doi.org/10.1016/j.tifs.2023.05.015
Review of Discrete Element Method Simulations of Soil Tillage and Furrow Opening
Aikins, Kojo Atta, Ucgul, Mustafa, Barr, James B., Awuah, Emmanuel, Antille, Diogenes L., Jensen, Troy A. and Desbiolles, Jacky M. A.. 2023. "Review of Discrete Element Method Simulations of Soil Tillage and Furrow Opening." Agriculture. 13 (3). https://doi.org/10.3390/agriculture13030541
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.
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
Review of Technologies, Regulations and Operating Standards for Field Based Autonomous Agricultural Machinery
Baillie, Craig, Torrance, Logan, Long, Derek, Brett, Peter and Humpal, Jacob. 2020. Review of Technologies, Regulations and Operating Standards for Field Based Autonomous Agricultural Machinery. Toowoomba, Australia. University of Southern Queensland.
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.
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.
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.
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
Analysis of effects of operating speed and depth on bentleg opener performance in cohesive soil using the discrete element method
Aikins, Kojo Atta, Antille, Diogenes L., Ucgul, Mustafa, Barr, James B., Jensen, Troy A. and Desbiolles, Jack M. A.. 2021. "Analysis of effects of operating speed and depth on bentleg opener performance in cohesive soil using the discrete element method." Computers and Electronics in Agriculture. 187. https://doi.org/10.1016/j.compag.2021.106236
Analysis of effect of bentleg opener geometry on performance in cohesive soil using the discrete element method
Aikins, Kojo Atta, Barr, James B., Antille, Diogenes L., Ucgul, Mustafa, Jensen, Troy A. and Desbiolles, Jack M. A.. 2021. "Analysis of effect of bentleg opener geometry on performance in cohesive soil using the discrete element method." Biosystems Engineering. 209, pp. 106-124. https://doi.org/10.1016/j.biosystemseng.2021.06.007
A new frame-based calibration method for extended octagonal ring transducers
Aikins, Kojo Atta, Desbiolles, Jack M.A., Jensen, Troy A. and Antille, Diogenes L.. 2021. "A new frame-based calibration method for extended octagonal ring transducers." Applied Engineering in Agriculture. 37 (2), pp. 379-387. https://doi.org/10.13031/aea.14252
Evaluation of bentleg and straight narrow point openers in cohesive soil
Aikins, Kojo Atta, Jensen, Troy A., Antille, Diogenes L., Barr, James B., Ucgul, Mustafa and Desbiolles, Jack M. A.. 2021. "Evaluation of bentleg and straight narrow point openers in cohesive soil." Soil and Tillage Research. 211. https://doi.org/10.1016/j.still.2021.105004
Determination of discrete element model parameters for a cohesive soil and validation through narrow point opener performance analysis
Aikins, Kojo Atta, Ucgul, Mustafa, Barr, James B., Jensen, Troy A., Antille, Diogenes L. and Desbiolles, Jack M. A.. 2021. "Determination of discrete element model parameters for a cohesive soil and validation through narrow point opener performance analysis." Soil and Tillage Research. 213, pp. 1-13. https://doi.org/10.1016/j.still.2021.105123
Impact of cotton picker traffic on vertosol soil and yield in individual rows
Al-Shatib, Mohammed A. M., Bennet, John McL., Chen, Guangnan and Jensen, Troy A.. 2021. "Impact of cotton picker traffic on vertosol soil and yield in individual rows." Crop and Pasture Science. 72 (7), pp. 514-527. https://doi.org/10.1071/CP20360
No-tillage furrow opener performance: a review of tool geometry, settings and interactions with soil and crop residue
Aikins, Kojo Atta, Barr, James B., Ucgul, Mustafa, Jensen, Troy A., Antille, Diogenes L. and Desbiolles, Jack M. A.. 2020. "No-tillage furrow opener performance: a review of tool geometry, settings and interactions with soil and crop residue." Soil Research. 58 (7), pp. 603-621. https://doi.org/10.1071/SR19153
Monitoring the behaviour of Australian Vertosols in response to the shrink–swell characteristic and cotton picker traffic
Al-Shatib, Mohammed A. M., Chen, Guangnan, Bennett, John McL. and Jensen, Troy A.. 2021. "Monitoring the behaviour of Australian Vertosols in response to the shrink–swell characteristic and cotton picker traffic." Soil Research. 59 (4), pp. 396-405. https://doi.org/10.1071/SR20222
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.
Prioritising R&D needs for mechatronic and data dependent applications in Australian sugarcane
Schroeder BL, Jensen, T, Panitz, JH and Wood, AW. 2021. "Prioritising R&D needs for mechatronic and data dependent applications in Australian sugarcane." 42nd Annual Conference of the Australian Society of Sugar Cane Technologists (ASSCT 2021) . Bundaberg, Australia 21 - 23 Apr 2021 Australia. Australian Society of Sugar Cane Technologists. pp. 127-131
Three-dimensional scanning of soil surface and furrow profiles using a portable and affordable unit
Aikins, Kojo Atta, Jensen, Troy A. and Antille, Diogenes L.. 2020. "Three-dimensional scanning of soil surface and furrow profiles using a portable and affordable unit." Biosystems Engineering. 193, pp. 279-289. https://doi.org/10.1016/j.biosystemseng.2020.03.002
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
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
Controlled traffic farming in precision agriculture
Antille, Diogenes L., Chamen, Tim, Tullberg, Jeff N., Isbister, Bindi, Jensen, Troy A., Chen, Guangnan, Baillie, Craig P. and Schueller, John K.. 2018. "Controlled traffic farming in precision agriculture." Stafford, John (ed.) Precision agriculture for sustainability. Cambridge, United Kingdom. Burleigh Dodds Science Publishing Limited. pp. 239-270
The soil structural cost of traffic from heavy machinery in vertisols
Bennett, J. McL., Roberton, S. D., Marchuk, S., Woodhouse, N. P., Antille, D. L., Jensen, T. A. and Keller, T.. 2019. "The soil structural cost of traffic from heavy machinery in vertisols." Soil and Tillage Research. 185, pp. 85-93. https://doi.org/10.1016/j.still.2018.09.007
Machine vision tracking of water advance in cotton surface irrigation with an unmanned aerial system
Long, Derek. 2018. Machine vision tracking of water advance in cotton surface irrigation with an unmanned aerial system. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/5f643ba5ce22b
A comparative study of conventional and controlled traffic in irrigated cotton: I. Heavy machinery impact on the soil resource
Bennett, John McL., Roberton, Stirling D., Jensen, Troy A., Antille, Diogenes L. and Hall, Jake. 2017. "A comparative study of conventional and controlled traffic in irrigated cotton: I. Heavy machinery impact on the soil resource." Soil and Tillage Research. 168, pp. 143-154. https://doi.org/10.1016/j.still.2016.12.012
Influence of yield and other cane characteristics on cane loss and product quality
Khawprateep, S., Jensen, T. A., Schroeder, B. L. and Eberhard, S.. 2016. "Influence of yield and other cane characteristics on cane loss and product quality ." Allsopp, Peter G. (ed.) 29th Congress of the International Society of Sugar Cane Technologists (ISSCT 2016). Chiang Mai, Thailand 05 - 08 Dec 2016
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
Influence of different pre-processing methods in predicting sugarcane quality from near-infrared (NIR) spectral data
Lazim, S. S. R. M., Nawi, N. M., Chen, G., Jensen, T. and Rasli, A. M. M.. 2016. "Influence of different pre-processing methods in predicting sugarcane quality from near-infrared (NIR) spectral data." International Food Research Journal. Supplement 23, pp. S231-S236.
An impact assessment framework for harvesting technologies in cotton: management considerations for the John Deere 7760
Bennett, J. McL., Jensen, T. A., Antille, D. L. and Baillie, C.. 2016. An impact assessment framework for harvesting technologies in cotton: management considerations for the John Deere 7760. Toowoomba, Australia. University of Southern Queensland.
Delineation of management zones using multiple crop yield data
Basnet, Badri, Kelly, Rob, Jensen, Troy, Strong, Wayne, Apan, Armando and Butler, David. 2003. "Delineation of management zones using multiple crop yield data." 16th Triennial Congress of the International Soil Tillage Research Organisation (ISTRO 2003). Brisbane, Australia 13 - 18 Jul 2003 Brisbane, Australia.
Application of aerial imagery to analyse on-farm trials
Basnet, B., Kelly, R., Jensen, T., Kane, T., Apan, A. and Butler, D.. 2002. "Application of aerial imagery to analyse on-farm trials." 11th Australasian Remote Sensing and Photogrammetry Conference (ARSPC2002): Images to Information. Brisbane, Australia 02 - 06 Sep 2002 Australia.
Capturing of remotely sensed images to advance the use of yield maps and other spatial information to improve crop management and forecasting
Jensen, T., Apan, A., Young, F. and Zeller, L.. 2002. "Capturing of remotely sensed images to advance the use of yield maps and other spatial information to improve crop management and forecasting." 11th Australasian Remote Sensing and Photogrammetry Conference (ARSPC2002): Images to Information. Brisbane, Australia 02 - 06 Sep 2002 Adelaide, Australia.
Spectral discrimination and separability analysis of agricultural crops and soil attributes using ASTER imagery
Apan, Armando, Kelly, Rob, Jensen, Troy, Butler, David, Strong, Wayne and Basnet, Badri. 2002. "Spectral discrimination and separability analysis of agricultural crops and soil attributes using ASTER imagery." 11th Australasian Remote Sensing and Photogrammetry Conference (ARSPC2002): Images to Information. Brisbane, Australia 02 - 06 Sep 2002 Adelaide, Australia.
Soil compaction and controlled traffic considerations in Australian cotton-farming systems
Antille, Diogenes L., Bennett, John McL. and Jensen, Troy A.. 2016. "Soil compaction and controlled traffic considerations in Australian cotton-farming systems." Crop and Pasture Science. 67 (1), pp. 1-28. https://doi.org/10.1071/CP15097
Influence of metal coating on sorghum milling process subjected to three body abrasion
Al-Sandooq, Jaafar Mahdi, Yousif, Belal and Jensen, T. A.. 2015. "Influence of metal coating on sorghum milling process subjected to three body abrasion." International Journal of Precision Technology. 5 (1), pp. 27-42. https://doi.org/10.1504/IJPTECH.2015.069972
Advances in cotton harvesting technology: a review and implications for the John Deere round baler cotton picker
Bennett, John McL., Woodhouse, Nathan P., Keller, Thomas, Jensen, Troy A. and Antille, Diogenes L.. 2015. "Advances in cotton harvesting technology: a review and implications for the John Deere round baler cotton picker." Journal of Cotton Science. 19 (2), pp. 225-249.
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
Prediction of sugarcane quality parameters using visible-shortwave near infrared spectroradiometer
Nawi, Nazmi Mat, Rowshon, Kamal Md., Chen, Guangnan and Jensen, Troy. 2014. "Prediction of sugarcane quality parameters using visible-shortwave near infrared spectroradiometer." Agriculture and Agricultural Science Procedia. 2, pp. 136 -143. https://doi.org/10.1016/j.aaspro.2014.11.020
Soil compaction and controlled traffic considerations in Australian cotton farming systems
Antille, D. L., Bennett, J. McL. and Jensen, T.. 2015. Soil compaction and controlled traffic considerations in Australian cotton farming systems. Toowoomba, Australia. University of Southern Queensland.
Prediction of sugarcane quality from juice samples using portable spectroscopy
Nawi, Nazmi M., Chen, Guangnan and Jensen, Troy. 2014. "Prediction of sugarcane quality from juice samples using portable spectroscopy." Journal of Mechanical Engineering and Sciences. 7, pp. 1219-1226. https://doi.org/10.15282/jmes.7.2014.21.0119
Understanding the JD7760 round module picker impacts
Bennett, J. McL., Jensen, T. A., Antille, D. and Woodhouse, N.. 2014. "Understanding the JD7760 round module picker impacts." 17th Australian Cotton Conference (ACC 2014): Our Fibre, Our Focus, Our Future. Gold Coast, Australia 05 - 07 Aug 2014 Narrabri, 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.. 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.
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.
Application of spectroscopic method to predict sugar content of sugarcane internodes
Nawi, N. M., Jensen, T. and Chen, G.. 2014. "Application of spectroscopic method to predict sugar content of sugarcane internodes." Journal of Tropical Agriculture and Food Science. 41 (2), pp. 211-220.
Change in the cotton harvesting system: a review and implications for the John Deere 7760 cotton picker
Woodhouse, N. P., Bennett, J. McL. and Jensen, T. A.. 2013. Change in the cotton harvesting system: a review and implications for the John Deere 7760 cotton picker. Toowoomba, Australia. University of Southern Queensland.
In-field measurement and sampling technologies for monitoring quality in the sugarcane industry: a review
Nawi, Nazmi Mat, Chen, Guangnan and Jensen, Troy. 2014. "In-field measurement and sampling technologies for monitoring quality in the sugarcane industry: a review." Precision Agriculture. 15 (6), pp. 684-703. https://doi.org/10.1007/s11119-014-9362-9
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.
Visible and shortwave near infrared spectroscopy for predicting sugar content of sugarcane based on a cross-sectional scanning method
Nawi, Nazmi Mat, Chen, Guangnan and Jensen, Troy. 2013. "Visible and shortwave near infrared spectroscopy for predicting sugar content of sugarcane based on a cross-sectional scanning method." Journal of Near Infrared Spectroscopy. 21 (4), pp. 289-297. https://doi.org/10.1255/jnirs.1060
Visible and shortwave near infrared spectroscopy to predict sugarcane quality from clear and raw juice samples
Nawi, N. M., Chen, G. and Jensen, T.. 2013. "Visible and shortwave near infrared spectroscopy to predict sugarcane quality from clear and raw juice samples." 3rd Malaysian Postgraduate Conference (MPC 2013). Sydney, Australia 04 - 05 Jul 2013 Sydney, Australia.
Application of visible and shortwave near infrared spectrometer to predict sugarcane quality from different sample forms
Nawi, Nazmi Mat, Chen, Guangnan and Jensen, Troy. 2013. "Application of visible and shortwave near infrared spectrometer to predict sugarcane quality from different sample forms." Kondo, Naoshi (ed.) 1st International Conference on Sensing Technologies for Biomaterial, Food and Agriculture (SeTBio 2013). Yokohama, Japan 23 - 25 Apr 2013 Bellingham, WA. United States. SPIE. https://doi.org/10.1117/12.2029395
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.
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.
Sustainable biomass supply chain for the Mallee woody crop industry
Schmidt, Erik, Giles, Rick, Davis, Rod, Baillie, Craig, Jensen, Troy, Sandell, Gary and Norris, Chris. 2012. Sustainable biomass supply chain for the Mallee woody crop industry. Canberra, Australia. Rural Industries Research and Development Corporation.
Prediction and classification of sugar content of sugarcane based on skin scanning using visible and shortwave near infrared
Nawi, Nazmi Mat, Chen, Guangnan, Jensen, Troy and Mehdizadeh, Saman Abdanan. 2013. "Prediction and classification of sugar content of sugarcane based on skin scanning using visible and shortwave near infrared." Biosystems Engineering. 115 (2), pp. 154-161. https://doi.org/10.1016/j.biosystemseng.2013.03.005
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.
Tribological consideration in roller mill machines for agriculture applications
Al-Sandooq, J. M., Yousif, B. F. and Jensen, T. A.. 2012. "Tribological consideration in roller mill machines for agriculture applications." Surface Review and Letters. 19 (6), pp. 1250065-1. https://doi.org/10.1142/S0218625X12500655
The application of spectroscopic methods to predict sugarcane quality based on stalk cross-sectional scanning
Nawi, Nazmi Mat, Jensen, Troy and Chen, Guangnan. 2012. "The application of spectroscopic methods to predict sugarcane quality based on stalk cross-sectional scanning." American Society of Sugar Cane Technologists Journal. 32, pp. 16-27.
Potential technologies to measure sugarcane quality in the field
Nawi, Nazmi Mat, Chen, Guangnan, Jensen, Troy and Baillie, Craig. 2012. "Potential technologies to measure sugarcane quality in the field." 2012 International Conference of Agricultural Engineering (CIGR-AgEng 2012). Valencia, Spain 08 - 12 Jul 2012 Valencia, Spain.
Prediction of sugar content along the height of sugarcane internodes using VisNIR
Nawi, Nazmi Mat, Chen, Guangnan, Jensen, Troy and Baillie, Craig. 2012. "Prediction of sugar content along the height of sugarcane internodes using VisNIR." 2012 International Conference of Agricultural Engineering (CIGR-AgEng 2012). Valencia, Spain 08 - 12 Jul 2012 Valencia, Spain.
Evaluating tractor performance and exhaust gas emissions using biodiesel from cotton seed oil
Al-lwayzy, Saddam H., Yusaf, Talal and Jensen, Troy. 2012. "Evaluating tractor performance and exhaust gas emissions using biodiesel from cotton seed oil." 1st International Conference of Mechanical Engineering Research (ICMER 2011). Kuantan, Malaysia 05 - 07 Dec 2011 United States. Informa UK(IOP Books). https://doi.org/10.1088/1757-899X/36/1/012042
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.
The use of an unmanned aerial vehicle as a remote sensing platform in agriculture
Jensen, T. A., Zeller, L. C. and Apan, A. A.. 2011. "The use of an unmanned aerial vehicle as a remote sensing platform in agriculture." Australian Journal of Multi-Disciplinary Engineering. 8 (2), pp. 139-146.
Transferring technology of measuring sugarcane quality from the laboratory to the field: what is possible?
Nawi, Nazmi Mat, Chen, Guangnan, Jensen, Troy and Baillie, Craig. 2011. "Transferring technology of measuring sugarcane quality from the laboratory to the field: what is possible?" Banhazi, T., Saunders, C. and Hegarty, R. (ed.) SEAg 2011: Diverse Challenges, Innovative Solutions. Gold Coast, Australia 29 - 30 Sep 2011 Canberra, Australia.
The application of spectroscopic methods to predict sugarcane quality based on stalk cross-sectional scanning
Nawi, Nazmi Mat, Jensen, Troy, Chen, Guangnan and Baillie, Craig. 2011. "The application of spectroscopic methods to predict sugarcane quality based on stalk cross-sectional scanning." Banhazi, T., Saunders, C. and Hegarty, R. (ed.) SEAg 2011: Diverse Challenges, Innovative Solutions. Gold Coast, Australia 29 - 30 Sep 2011 Canberra, 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.
Mechanical harvesting reduces sphacelia/sclerote levels of claviceps africana
Ryley, M. J., Jensen, T. and Kyei, A. N.. 2003. "Mechanical harvesting reduces sphacelia/sclerote levels of claviceps africana." International Sorghum and Millets Newsletter.
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
Assessing various techniques to monitor yield in sugarcane
Jensen, T. A., Fokkema, B. and Baillie, C.. 2011. "Assessing various techniques to monitor yield in sugarcane ." Banhazi, T., Saunders, C. and Hegarty, R. (ed.) SEAg 2011: Diverse Challenges, Innovative Solutions. Gold Coast, Australia 29 - 30 Sep 2011 Canberra, 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
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.
The possibility of using polymers in agriculture milling equipment
Al-Sandooq, J. M., Yousif, B. F. and Jensen, T. A.. 2011. "The possibility of using polymers in agriculture milling equipment." Banhazi, T., Saunders, C. and Hegarty, R. (ed.) SEAg 2011: Diverse Challenges, Innovative Solutions. Gold Coast, Australia 29 - 30 Sep 2011 Canberra, Australia.
Harvesting, processing and marketing Australian native grass seeds
Loch, D. S., Johnston, P. W., Jensen, troy and Harvey, G. L.. 1996. "Harvesting, processing and marketing Australian native grass seeds." New Zealand Journal of Agricultural Research. 39, pp. 591-599.
Drying rate and damage to navy beans
Radajewski, W., Jensen, T., Abawi, G. Y. and McGahan, E. J.. 1992. "Drying rate and damage to navy beans." Transactions of the ASABE. 35 (2), pp. 583-590.
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.
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.
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.
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.
Relating satellite imagery with grain protein content
Basnet, Badri Bahadur, Apan, Armando, Kelly, Rob, Jensen, Troy, Strong, Wayne and Butler, David. 2003. "Relating satellite imagery with grain protein content." 2003 Spatial Sciences Institute Biennial Conference: Spatial Knowledge Without Boundaries (SSC2003). Canberra, Australia 22 - 27 Sep 2003 Canberra, Australia.
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
Real-time protein monitoring - Australian experiences
Jensen, T., Zeller, L., Fox, G., Town, W. and Kelly, R.. 2005. "Real-time protein monitoring - Australian experiences." Stafford, John V. (ed.) 5th European Conference on Precision Agriculture. Uppsala, Sweden 09 - 12 Jun 2005 Wageningen, The Netherlands.
Grain crop attributes detected using digital imagery acquired from a low-altitude helium balloon
Jensen, T., Apan, A., Young, F. and Zeller, L.. 2005. "Grain crop attributes detected using digital imagery acquired from a low-altitude helium balloon." Stafford, John V. (ed.) 5th European Conference on Precision Agriculture. Uppsala, Sweden 09 - 12 Jun 2005 Wageningen, The Netherlands.
Use of airborne hyperspectral imagery to determine quality of sorghum crops
Wells, Natasha, Kelly, Rob, Phinn, Stuart, Apan, Armando, Jensen, Troy, Cooper, John and Strong, Wayne. 2004. "Use of airborne hyperspectral imagery to determine quality of sorghum crops." 12th Australasian Remote Sensing and Photogrammetry Conference (ARSPC 2004): To Measure is to Manage. Fremantle, Australia 18 - 22 Oct 2004 Adelaide, South Australia.
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.
Evaluation of a proximal vision data acquisition system for measuring spatial variability in lettuce growth
Hussain, Amjed, Raine, Steven R., Henderson, Craig and Jensen, Troy. 2008. "Evaluation of a proximal vision data acquisition system for measuring spatial variability in lettuce growth." Unkovich, M. (ed.) 14th Australian Agronomy Conference: Global Issues. Paddock Action. Adelaide, Australia 21 - 25 Sep 2008 Gosford, NSW, Australia.
Application of probability analysis to assess nitrogen supply to grain crops in Northern Australia
Kelly, R. M., Strong, W. M., Jensen, T. A. and Butler, D.. 2004. "Application of probability analysis to assess nitrogen supply to grain crops in Northern Australia." Precision Agriculture. 5 (2), pp. 95-110. https://doi.org/10.1023/B:PRAG.0000022356.01537.67
Crop maturity mapping using a low-cost low-altitude remote sensing system
Jensen, Troy, Apan, Armando and Zeller, Les. 2009. "Crop maturity mapping using a low-cost low-altitude remote sensing system." Ostendorf, Bertram, Baldock, Penny, Bruce, David, Burdett, Michael and Corcoran, Paul (ed.) 2009 Surveying and Spatial Sciences Institute Biennial International Conference (SSC 2009): Spatial Diversity. Adelaide, Australia 28 Sep - 02 Oct 2009 Adelaide, Australia.
The use of a UAV as a remote sensing platform in agriculture
Jensen, Troy, Apan, Armando and Zeller, Leslie. 2009. "The use of a UAV as a remote sensing platform in agriculture." Banhazi, T. M. and Saunders, C. (ed.) SEAg 2009: Agricultural Technologies In a Changing Climate. Brisbane, Australia 13 - 16 Sep 2009 Brisbane, Australia.
Detecting the attributes of a wheat crop using digital 3D imagery acquired from a low-altitude platform
Jensen, T., Apan, A., Young, F. and Zeller, L.. 2007. "Detecting the attributes of a wheat crop using digital 3D imagery acquired from a low-altitude platform." Computers and Electronics in Agriculture. 59 (1-2), pp. 66-77. https://doi.org/10.1016/j.compag.2007.05.004
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.
Assessing grain crop attributes using digital imagery acquired from a low-altitude remote controlled aircraft
Jensen, Troy, Apan, Armando, Young, Frank R., Zeller, Leslie Charles and Cleminson, Ken. 2003. "Assessing grain crop attributes using digital imagery acquired from a low-altitude remote controlled aircraft." 2003 Spatial Sciences Institute Biennial Conference: Spatial Knowledge Without Boundaries (SSC2003). Canberra, Australia 22 - 27 Sep 2003 Canberra, Australia.