Assessing the capability and potential of LiDAR for weed detection

AHRI Snapshots

On this episode of AHRI Snapshots, we’re catching up with AHRI PhD Candidate, Nooshin Shahbazi.In her latest paper, Nooshin has looked at the capability of Light Detection and Ranging (LiDAR) sensors to detect and locate weeds. The results showed the detectability of the target at different scanning distances from the LiDAR was directly influenced by the size of the target and its orientation toward the LiDAR. You can read her paper here: https://ahri.uwa.edu.au/publications/assessing-the-capability-and-potential-of-lidar-for-weed-detection/The Grains Research and Development Corporation (GRDC) invests $1.5 million in AHRI each year to ensure Australian grain growers have access to world class research in strategies to mitigate weeds and control herbicide resistance.

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