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

Presentation TypePaper
AuthorsHumpal, Jacob (Author), McCarthy, Cheryl (Author), Percy, Cassandra (Author) and Thomasson, J. Alex (Author)
Journal or Proceedings TitleProceedings of the GRDC Grains Research Update: Driving Profit Through Research
Number of Pages4
Year2020
Place of PublicationAustralia
Web Address (URL) of Paperhttps://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/EventGRDC 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
KeywordsNIR, Crown Rot, disease detection, wheat, crop disease, near infrared, proximal sensing, remote sensing, phenotyping
ANZSRC Field of Research 2020409901. 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 AffiliationsCentre for Agricultural Engineering
Centre for Crop Health
Texas A&M University, United States
Institution of OriginUniversity of Southern Queensland
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