Automated camera-based height and flower detection for wheat and chickpea

Paper


McCarthy, Alison and Tscharke, Matthew. 2014. "Automated camera-based height and flower detection for wheat and chickpea." 5th International Workshop on Applications of Computer Image Analysis and Spectroscopy in Agriculture (ASABE 2014). Montreal, Canada 12 - 13 Jul 2014 St. Joseph, MI. United States.
Paper/Presentation Title

Automated camera-based height and flower detection for wheat and chickpea

Presentation TypePaper
AuthorsMcCarthy, Alison (Author) and Tscharke, Matthew (Author)
Journal or Proceedings TitleProceedings of the 5th International Workshop on Applications of Computer Image Analysis and Spectroscopy in Agriculture (ASABE 2014)
Year2014
Place of PublicationSt. Joseph, MI. United States
Conference/Event5th International Workshop on Applications of Computer Image Analysis and Spectroscopy in Agriculture (ASABE 2014)
Event Details
5th International Workshop on Applications of Computer Image Analysis and Spectroscopy in Agriculture (ASABE 2014)
Event Date
12 to end of 13 Jul 2014
Event Location
Montreal, Canada
Abstract

The National Variety Trials (NVT) involve a yearly coordination of 630 grain trials conducted across 250 locations in Australia. At different stages of the crop season Trial Service Providers visually assess the attributes of the grain plants in each trial-plot to evaluate the growth and development of the different grain varieties. This involves manual measurements related to: (i) plant dimensions (height, canopy size); (ii) different stages of growth (seedling, tillering, jointing, boot and flowering); and (iii) germination rate. However, the availability of personnel to perform this monitoring is likely to be constrained to larger research stations.
A camera-based remote crop monitoring system and image analysis algorithms have been developed to automatically capture images of the trial plots, identify flowers and extract plant growth. This camera system would be permanently installed at the trial site to continuously collect images of the plots throughout the crop season. The system will reduce labour requirements and travel costs associated with manual inspection of grain variety trials, and improve timeliness and accuracy of growth stage identification.

Keywordsimage analysis; camera; automation; grain crops
ANZSRC Field of Research 2020300207. Agricultural systems analysis and modelling
300202. Agricultural land management
460306. Image processing
Public Notes

This publication is copyright. It may be reproduced in whole or in part for the purposes of study, research, or review, but is subject to the inclusion of an acknowledgment of the source.

Byline AffiliationsNational Centre for Engineering in Agriculture
Institution of OriginUniversity of Southern Queensland
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Tscharke, M. J. and Banhazi, T. M.. 2011. "Growth recorded automatically and continuously by a machine vision system for finisher pigs." Banhazi, T., Saunders, C. and Hegarty, R. (ed.) SEAg 2011: Diverse Challenges, Innovative Solutions. Gold Coast, Australia 29 - 30 Sep 2011 Canberra, Australia .
Real-time data requirements for model-based adaptive control of irrigation scheduling in cotton
McCarthy, A. C., Hancock, N. H. and Raine, S. R.. 2011. "Real-time data requirements for model-based adaptive control of irrigation scheduling in cotton." Australian Journal of Multi-Disciplinary Engineering. 8 (2), pp. 189-206.
Development of a smart livestock farming tool for identifying animal growth using artificial intelligence
Tscharke, Matthew J.. 2012. Development of a smart livestock farming tool for identifying animal growth using artificial intelligence. PhD Thesis Doctor of Philosophy. University of Southern Queensland.
Improved irrigation of cotton via real-time, adaptive control of large mobile irrigation machines
McCarthy, Alison. 2010. Improved irrigation of cotton via real-time, adaptive control of large mobile irrigation machines. PhD Thesis Doctor of Philosophy. University of Southern Queensland.
VARIwise: a general-purpose adaptive control simulation framework for spatially and temporally varied irrigation at sub-field scale
McCarthy, Alison, Hancock, Nigel and Raine, Steven R.. 2010. "VARIwise: a general-purpose adaptive control simulation framework for spatially and temporally varied irrigation at sub-field scale." Computers and Electronics in Agriculture. 70 (1), pp. 117-128. https://doi.org/10.1016/j.compag.2009.09.011
Simulation of adaptive site-specific irrigation control performance with spatially variable rainfall
McCarthy, Alison, Hancock, Nigel and Raine, Steven R.. 2010. "Simulation of adaptive site-specific irrigation control performance with spatially variable rainfall." Montagu, Kelvin (ed.) Australian Irrigation Conference and Exibition 2010: One Water Many Futures. Sydney, Australia 08 - 10 Jun 2010 Sydney, Australia.
Simulation of site-specific irrigation control strategies with sparse input data
McCarthy, Alison, Hancock, Nigel and Raine, Steven R.. 2010. "Simulation of site-specific irrigation control strategies with sparse input data." 17th World Congress of the International Commission of Agricultural and Biosystems Engineering (CIGR 2010): Sustainable Biosystems Through Engineering. Quebec City, Canada 13 - 17 Jun 2010 Quebec, Canada.
Holistic control system design for large mobile irrigation machines
McCarthy, Alison, Hancock, Nigel and Raine, Steven. 2010. "Holistic control system design for large mobile irrigation machines." 16th Annual Conference on Mechatronics and Machine Vision in Practice (M2VIP 2010). Darussalam, Brunei 22 - 24 Jun 2010 Toowoomba, Australia.
Development of a simulation framework for variable-rate irrigation of cotton
McCarthy, Alison, Hancock, Nigel and Raine, Steven R.. 2008. "Development of a simulation framework for variable-rate irrigation of cotton." 14th Australian Cotton Conference: New Beginnings – Cotton in a Climate of Change. Gold Coast, Australia 12 - 14 Aug 2008 Narrabri, NSW, Australia.
Managing spatial and temporal variability in irrigated agriculture through adaptive control
Smith, R. J., Raine, Steven R., McCarthy, Alison and Hancock, Nigel. 2009. "Managing spatial and temporal variability in irrigated agriculture through adaptive control." Australian Journal of Multi-Disciplinary Engineering. 7 (1), pp. 79-90.
Exploration of data requirements for adaptive control of irrigation scheduling
McCarthy, Alison, Hancock, Nigel and Raine, Steven R.. 2009. "Exploration of data requirements for adaptive control of irrigation scheduling." Banhazi, T. M. and Saunders, C. (ed.) SEAg 2009: Agricultural Technologies In a Changing Climate. Brisbane, Australia 13 - 16 Sep 2009 Brisbane, Australia.
Towards evaluation of adaptive control systems for improved site-specific irrigation of cotton
McCarthy, Alison, Hancock, Nigel and Raine, Steven R.. 2008. "Towards evaluation of adaptive control systems for improved site-specific irrigation of cotton." Irrigation Australia 2008: Irrigation Association of Australia National Conference and Exhibition: Share the Water, Share the Benefits. Melbourne, Australia 20 - 22 May 2008 Hornsby, NSW, Australia.
Managing spatial and temporal variability in irrigated agriculture through adaptive control
Smith, R. J., Raine, Steven R., McCarthy, Alison and Hancock, Nigel. 2007. "Managing spatial and temporal variability in irrigated agriculture through adaptive control." Banhazi, T. M. and Saunders, C. (ed.) SEAg 2007: Agriculture and Engineering - Challenge Today, Technology Tomorrow. Adelaide, Australia 24 - 26 Sep 2007 Australia.