Remote monitoring for FAW using machine vision
Presentation
McCarthy, Alison, Humpal, Jacob, Miles, Melina, Quade, Adam and Girling, Robbie. 2024. "Remote monitoring for FAW using machine vision." National Fall Armyworm Research, Development and Extension Symposium 2024. Brisbane, Australia 17 - 18 Apr 2024
| Paper/Presentation Title | Remote monitoring for FAW using machine vision |
|---|---|
| Presentation Type | Presentation |
| Authors | McCarthy, Alison, Humpal, Jacob, Miles, Melina, Quade, Adam and Girling, Robbie |
| Year | 2024 |
| Conference/Event | National Fall Armyworm Research, Development and Extension Symposium 2024 |
| Event Details | National Fall Armyworm Research, Development and Extension Symposium 2024 Delivery In person Event Date 17 to end of 18 Apr 2024 Event Location Brisbane, Australia Event Venue Brisbane’s Ecosciences Precinct Event Web Address (URL) |
| Abstract | This presentation provides an outline of machine vision technologies developed by University of Southern Queensland, in collaboration with Queensland's Department of Agriculture and Fisheries, on novel technologies improving integrated pest management of fall armyworm. |
| Contains Sensitive Content | Does not contain sensitive content |
| ANZSRC Field of Research 2020 | 300409. Crop and pasture protection (incl. pests, diseases and weeds) |
| 460304. Computer vision | |
| Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
| Byline Affiliations | Centre for Agricultural Engineering |
| Department of Primary Industries, Queensland |
Permalink -
https://research.usq.edu.au/item/zzz04/remote-monitoring-for-faw-using-machine-vision
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