A grower guide to plant based sensing for irrigation scheduling

White, S. C. and Raine, S. R. (2008) A grower guide to plant based sensing for irrigation scheduling. Project Report. University of Southern Queensland , Toowoomba, Australia. [Report]

Text (Published Version)

Download (835Kb)


This publication was conceived as a first reference point for individuals who are new to plant based sensing. It is also hoped that the collation of this plant based sensor
information will assist farmers and industry advisers to make more informed decisions in relation to the choice and use of plant based sensing technology for irrigation scheduling.

Statistics for USQ ePrint 23521
Statistics for this ePrint Item
Item Type: Report (Project Report)
Item Status: Live Archive
Additional Information: Material from this publication may not be used unless prior written approval has been obtained from the National Centre for Engineering in Agriculture. NCEA Publication 1001574/6.
Faculty/School / Institute/Centre: Historic - Faculty of Engineering and Surveying - Department of Agricultural, Civil and Environmental Engineering
Date Deposited: 11 Sep 2013 23:21
Last Modified: 20 Nov 2014 23:23
Uncontrolled Keywords: sensors; crops; irrigating; non-contact sensing; remote sensing
Fields of Research : 07 Agricultural and Veterinary Sciences > 0701 Agriculture, Land and Farm Management > 070199 Agriculture, Land and Farm Management not elsewhere classified
09 Engineering > 0909 Geomatic Engineering > 090905 Photogrammetry and Remote Sensing
07 Agricultural and Veterinary Sciences > 0799 Other Agricultural and Veterinary Sciences > 079901 Agricultural Hydrology (Drainage, Flooding, Irrigation, Quality, etc.)
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970107 Expanding Knowledge in the Agricultural and Veterinary Sciences
URI: http://eprints.usq.edu.au/id/eprint/23521

Actions (login required)

View Item Archive Repository Staff Only