Remote monitoring and automatic detection of grain crop attributes
Project report
McCarthy, Alison, Tscharke, Matthew and Schmidt, Erik. 2014. Remote monitoring and automatic detection of grain crop attributes. Toowoomba, Australia. University of Southern Queensland.
| Title | Remote monitoring and automatic detection of grain crop attributes |
|---|---|
| Report Type | Project report |
| Authors | McCarthy, Alison (Author), Tscharke, Matthew (Author) and Schmidt, Erik (Author) |
| Institution of Origin | University of Southern Queensland |
| Year | 2014 |
| Publisher | University of Southern Queensland |
| Place of Publication | Toowoomba, Australia |
| Web Address (URL) | http://elibrary.grdc.com.au/project/usq00015 |
| Abstract | This project has developed a proof-of-concept low cost internet-enabled camera-based monitoring and image processing system for National Variety Trials (NVT). 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. A camera-based system remotely captures images of a plot, automatically detects plant growth and flowers for two grain crop types and displays results on a website. Manual measurements have been compared with image analysis results in collaboration with NVT Trial Service Providers. |
| ANZSRC Field of Research 2020 | 400799. Control engineering, mechatronics and robotics not elsewhere classified |
| 460306. Image processing | |
| Byline Affiliations | National Centre for Engineering in Agriculture |
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