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An automated sampling soil reduction-oxygenation RF sensor network for cereal crop management

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4 Author(s)
Michael Collins ; School of Computer and Information Science, Edith Cowan University, Mount Lawley WA 6050, Western Australia. ; Chris Holme ; Keng T. Tan ; Leisa Armstrong

There is a need for cost effective tools and data collection methods for field measurements: to increase both productivity and volumes of collected data in the quest for enhanced understanding and management of environmental systems. To such end, we explore the various RF technologies that may be combined into a cost effective soil redox sensor network, discuss the merits of each as a component of said network, describe a prototype soil redox sensor network and present the method and results of laboratory and field tests performed. The experiment was conducted by running the prototype RF based equipment alongside a closely matched contemporary control system. Results indicate close correlation between experimental and control data

Published in:

TENCON 2006 - 2006 IEEE Region 10 Conference

Date of Conference:

14-17 Nov. 2006