Please use this identifier to cite or link to this item:
https://nswdpe.intersearch.com.au/nswdpejspui/handle/1/15124
Title: | Determining canola physiological maturity with remote sensing |
Other Titles: | Southern NSW research results 2020 |
Authors: | Hart, Josh Dunn, Brian Dawe, Chris Brill, Rohan Malcolm, Danielle |
Keywords: | canola, grain yield, hand harvest, harvest index, remote sensing, sample collection, sowing date, variety |
Issue Date: | 2020 |
Publisher: | Department of Primary Industries |
Abstract: | Key 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. |
URI: | https://nswdpe.intersearch.com.au/nswdpejspui/handle/1/15124 |
ISSN: | 2652-6948 |
Appears in Collections: | DPI Agriculture - Southern and Northern Research Results [2011-present] |
Files in This Item:
File | Description | Size | Format | |
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SRR20-07-Hart-canola-rem-sense-+.pdf | 157.14 kB | Adobe PDF | View/Open |
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