Development of a prototype precision spot spray system using image analysis and plant identification technology

Rees, Steven and McCarthy, Cheryl ORCID: https://orcid.org/0000-0003-3297-7425 and Artizzu, X. P. B. and Baillie, Craig and Dunn, Mark (2009) Development of a prototype precision spot spray system using image analysis and plant identification technology. In: SEAg 2009: Agricultural Technologies in a Changing Climate, 13-16 Sep 2009, Brisbane, Australia.

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Abstract

A project funded by the Australian Sugar Research and Development Corporation aimed to increase sugarcane production through cost effective automated precision weed spraying. The project developed a precision imaging system that could be integrated with current spraying systems to specifically target difficult to control weeds such as guinea grass/green panic. The technology is capable of differentiating weeds from sugarcane in the row area and actuating a spray solenoid so that only the weeds are sprayed with herbicide in a single pass and with minimal over-spraying of the crop. The precision imaging and spot spraying technology demonstrated proof-of-concept and a cost benefit analysis of the new weed control system indicated potential grower savings.
This paper will report on a review of appropriate technologies, description of the prototype sugarcane image analysis system and algorithms, assessment of accuracy of weed identification and an evaluation of system costs and performance.

Statistics for this ePrint Item

Item Type:	Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed:	No
Item Status:	Live Archive
Additional Information:	Authors retain copyright.
Faculty/School / Institute/Centre:	Historic - Faculty of Engineering and Surveying - Department of Agricultural, Civil and Environmental Engineering (Up to 30 Jun 2013)
Faculty/School / Institute/Centre:	Historic - Faculty of Engineering and Surveying - Department of Agricultural, Civil and Environmental Engineering (Up to 30 Jun 2013)
Date Deposited:	02 Jul 2010 02:37
Last Modified:	22 Oct 2013 05:02
Uncontrolled Keywords:	sugarcane; precision agriculture; image analysis; plant identification; precision spraying; technology
Fields of Research (2008):	09 Engineering > 0913 Mechanical Engineering > 091302 Automation and Control Engineering 07 Agricultural and Veterinary Sciences > 0703 Crop and Pasture Production > 070308 Crop and Pasture Protection (Pests, Diseases and Weeds) 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080106 Image Processing
Fields of Research (2020):	40 ENGINEERING > 4007 Control engineering, mechatronics and robotics > 400799 Control engineering, mechatronics and robotics not elsewhere classified 30 AGRICULTURAL, VETERINARY AND FOOD SCIENCES > 3004 Crop and pasture production > 300409 Crop and pasture protection (incl. pests, diseases and weeds) 46 INFORMATION AND COMPUTING SCIENCES > 4603 Computer vision and multimedia computation > 460306 Image processing
Socio-Economic Objectives (2008):	B Economic Development > 82 Plant Production and Plant Primary Products > 8203 Industrial Crops > 820304 Sugar
URI:	http://eprints.usq.edu.au/id/eprint/7961

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