NIR sensing and machine learning to rapidly assess crown rot in wheat
Paper
Humpal, Jacob, McCarthy, Cheryl, Percy, Cassandra and Thomasson, J. Alex. 2020. "NIR sensing and machine learning to rapidly assess crown rot in wheat." GRDC Grains Research Update: Driving Profit Through Research. Goondiwindi, Australia 03 - 04 Mar 2020 Australia.
Paper/Presentation Title | NIR sensing and machine learning to rapidly assess crown rot in wheat |
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Presentation Type | Paper |
Authors | Humpal, Jacob (Author), McCarthy, Cheryl (Author), Percy, Cassandra (Author) and Thomasson, J. Alex (Author) |
Journal or Proceedings Title | Proceedings of the GRDC Grains Research Update: Driving Profit Through Research |
Number of Pages | 4 |
Year | 2020 |
Place of Publication | Australia |
Web Address (URL) of Paper | https://grdc.com.au/resources-and-publications/grdc-update-papers/tab-content/grdc-update-papers/2020/03/nir-sensing-and-machine-learning-to-rapidly-assess-crown-rot-in-wheat |
Conference/Event | GRDC Grains Research Update: Driving Profit Through Research |
Event Details | GRDC Grains Research Update: Driving Profit Through Research Event Date 03 to end of 04 Mar 2020 Event Location Goondiwindi, Australia |
Keywords | NIR, Crown Rot, disease detection, wheat, crop disease, near infrared, proximal sensing, remote sensing, phenotyping |
ANZSRC Field of Research 2020 | 409901. Agricultural engineering |
309999. Other agricultural, veterinary and food sciences not elsewhere classified | |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | Centre for Agricultural Engineering |
Centre for Crop Health | |
Texas A&M University, United States | |
Institution of Origin | University of Southern Queensland |
Permalink -
https://research.usq.edu.au/item/q7974/nir-sensing-and-machine-learning-to-rapidly-assess-crown-rot-in-wheat
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