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Future Farm Phase 2: Improving farmer confidence in targeted N management through automated sensing and decision support

With the high cost of nitrogen (N) fertiliser – about 20 per cent of variable costs – cotton growers seek to optimise its efficiency. This project aims to improve soil and crop sensor use in N management, and to find a way to automate collecting and analysing data, formulating options and implementing decisions, in order to improve on-farm N use efficiency. By focusing on site-specific management models, it aims for better use of various data: soil, crop and climate; historic on-farm; external public and private, as well as automating decision rules in software that could be linked to real-time application equipment. Several different proximal and remote sensor technologies have been trialled to develop models of N-responsiveness in cotton crops under a range of management conditions.

Project date

1 Jul 2018-30 Jun 2022
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Principal investigator

Peter Grace

Project funded by


Cotton Research and Development Corporation (CRDC)

The Cotton Research and Development Corporation (CRDC) delivers outcomes in cotton research, development and extension (RD&E) for the Australian …
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  • Organisation type

    Research funding body



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