A preliminary evaluation of machine vision sensing of cotton nodes for automated irrigation control
Paper
Paper/Presentation Title | A preliminary evaluation of machine vision sensing of cotton nodes for automated irrigation control |
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Presentation Type | Paper |
Authors | McCarthy, Cheryl (Author), Hancock, Nigel (Author) and Raine, Steven R. (Author) |
Journal or Proceedings Title | Irrigation Australia 2006: Irrigation Association of Australia National Conference and Exhibition: Proceedings |
Number of Pages | 2 |
Year | 2006 |
Place of Publication | Brisbane |
Conference/Event | Irrigation Australia 2006: Irrigation Association of Australia National Conference and Exhibition |
Event Details | Irrigation Australia 2006: Irrigation Association of Australia National Conference and Exhibition Event Date 09 to end of 11 May 2006 Event Location Brisbane, Australia |
Abstract | Real-time sensing of crop water stress is required to implement site-specific irrigation that responds to crop water needs. This project aims to develop a real-time, plant-based sensor for cotton water stress that has potential use on a variable-rate LMIM which adjusts water application in response to real-time irrigation requirement. A number of plant attributes may be used to infer water stress in cotton. Nodes above white flower and distance between the fourth and fifth mainstem nodes are being targeted in this project because these attributes indicate the balance between vegetative and reproductive growth that is required during crop flowering to optimise yield for cotton. |
Keywords | cotton, crop water stress, cotton stress |
ANZSRC Field of Research 2020 | 300201. Agricultural hydrology |
Byline Affiliations | Cooperative Research Centre for Irrigation Futures |
https://research.usq.edu.au/item/9y116/a-preliminary-evaluation-of-machine-vision-sensing-of-cotton-nodes-for-automated-irrigation-control
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