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dc.contributor.authorHart, Josh-
dc.contributor.authorDunn, Brian-
dc.contributor.authorDawe, Chris-
dc.contributor.authorBrill, Rohan-
dc.contributor.authorMalcolm, Danielle-
dc.date.accessioned2024-09-18T03:15:29Z-
dc.date.available2024-09-18T03:15:29Z-
dc.date.issued2020-
dc.identifier.issn2652-6948-
dc.identifier.urihttps://nswdpe.intersearch.com.au/nswdpejspui/handle/1/15124-
dc.description.abstractKey findings • Relationships between remote sensing data and hand harvest data were identified for some varieties and sowing dates, suggesting remotely sensed data might be useful for determining canola maturity. • Both variety and sowing date alter the relationship between remotely sensed data and hand harvested data.en
dc.publisherDepartment of Primary Industriesen
dc.subjectcanola, grain yield, hand harvest, harvest index, remote sensing, sample collection, sowing date, varietyen
dc.titleDetermining canola physiological maturity with remote sensingen
dc.title.alternativeSouthern NSW research results 2020en
dc.typeBook chapteren
Appears in Collections:DPI Agriculture - Southern and Northern Research Results [2011-present]

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