McCarthy, Cheryl and Hancock, Nigel and Raine, Steven R. (2006) A preliminary evaluation of machine vision sensing of cotton nodes for automated irrigation control. In: Irrigation Australia 2006: Irrigation Association of Australia National Conference and Exhibition, 9-11 May 2006, Brisbane, Australia.
Metadata
| HTML Citation | EndNote | MODS | Dublin Core | Reference Manager |
Full text available as:
![[img]](/style/images/fileicons/application_pdf.png)
| PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader 239Kb |
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.
| Item Type: | Conference or Workshop Item (Commonwealth Reporting Category E) (Paper) |
|---|---|
| Uncontrolled Keywords: | cotton, crop water stress, cotton stress |
| Fields of Research (FOR2008): | 07 Agricultural and Veterinary Sciences > 0799 Other Agricultural and Veterinary Sciences > 079901 Agricultural Hydrology (Drainage, Flooding, Irrigation, Quality, etc.) |
| Subjects: | 300000 Agricultural, Veterinary and Environmental Sciences > 300100 Soil and Water Sciences > 300105 Applied Hydrology (Drainage, Flooding, Irrigation, Quality, etc.) |
| Socio-Economic Objective (SEO2008): | UNSPECIFIED |
| ID Code: | 2142 |
| Deposited By: | |
| Deposited On: | 11 Oct 2007 10:58 |
| Last Modified: | 21 Oct 2011 12:10 |
Archive Staff Only: edit this record