Assessing the capability and potential of LiDAR for weed detection

AHRI Snapshots

Inhoud geleverd door AHRI Snapshots. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door AHRI Snapshots of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.

3+ y ago 10:33

MP3•Thuis aflevering

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.

You can follow AHRI on Twitter here. To learn more about AHRI's research and team, check out the website here.

137 afleveringen

#Government #AHRI Snapshots #Herbicide Resistance #Weed Control #Broadacre Cropping #Farm