The CRDC Grassroots Grants program encourages Cotton Grower Associations (CGAs) to apply for funding to support capacity building projects in their region.

Up to $10,000 in funding is available for CGAs to help fund a project aimed at increasing the engagement of growers in the industry, solving specific regional issues and improving their skills, knowledge base and networks.

Since the Grassroots Grants program commenced in 2011, CRDC has invested over $466,000 in 52 projects across the cotton growing valleys – from weather stations to crop nutrition workshops.Irrigation scheduling is an extremely important part of growing high yielding cotton crops. Water is a greatly limiting factor, particularly in the current climatic conditions with no general security Namoi river allocation since August 2013. The use of a suite of tools to enhance irrigation decision making processes and to be able to refine the use of our precious water resource in a most efficient manner is the aim of any water user and crop consultant. Currently most of the technology that has been widely adopted concentrates on the soil area under the plant. Canopy sensor technology has the potential to be a cost effective method of making irrigation recommendations using widely researched canopy temperature as an indicator of plant stress due to moisture requirements.

This project was undertaken after a presentation given by Onoriode Coast at a grower meeting held by Steve Madden Agriculture. The presentation illustrated positive yield results by using accumulated stress hours using canopy temperature sensors to schedule irrigation. In the initial year the intention was to be able to look at the accumulated stress hours on four cotton crops on four different farms across the Lower Namoi Valley that had canopy temperature sensors during the season. Unfortunately, the uploading of the data from the Sensor DB (provided by CSIRO) that allowed the information to be analysed using the Ausbiotic program could not happen as Sensor DB was not working from 1st January 2016 until June 2016. All data is historical but is still helpful in the evaluation of the technology as an irrigation decision making tool.