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Real-time plant discrimination and weed detection platform

Site-specific weed management requires micro monitoring techniques that detect the presence of weeds and therefore enable precision spraying of herbicides. The project focuses on the development of a commercially viable, advanced, adaptive sensor engine capable of identifying different plants and weeds in real time.

This first of its kind sensor significantly improves crop yields, environmental protection and yield cost-savings, and has a broad range of applications in the Sugar and Cotton industries, fallow and hooded row crop spraying, and spraying of roadside verges, footpaths and railways.

Funding agency

Australian Research Council (ARC) – Linkage Grant

Project duration

August 2014 – July 2017


Researchers

Professor Kamal Alameh
Mr Arie Paap
Photonic detection Systems Pty Ltd, Mr John Rowe

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