Rees, Steven and McCarthy, Cheryl 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.
![[img]](http://eprints.usq.edu.au/style/images/fileicons/application_pdf.png)
|
PDF (Author Version)
Rees_McCarthy_Artizzu_Baillie_Dunn_AV.pdf Download (326Kb) |
|
|
PDF (Published Version)
Rees_McCarthy_etal_SEAg2009_PV.pdf Download (1941Kb) |
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 / Department / School: | Historic - Faculty of Engineering and Surveying - Department of Agricultural, Civil and Environmental Engineering |
| 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 : | 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 |
| Socio-Economic Objective: | B Economic Development > 82 Plant Production and Plant Primary Products > 8203 Industrial Crops > 820304 Sugar |
| URI: | http://eprints.usq.edu.au/id/eprint/7961 |
Actions (login required)
 |
Archive Repository Staff Only |