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
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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. IOP Publishing. 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.