Wheat yield forecast using contextual spatial information-Reference-Cited by-同舟云学术

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Wheat yield forecast using contextual spatial information

Published:2019-07-08 Issue: Volume: Page:
ISSN:
Container-title:Precision agriculture ’19
language:
Short-container-title:

Author:

Fajardo M.¹,Whelan B.¹,Filippi P.¹,Bishop T.¹

Affiliation:

1. Precision Agriculture Laboratory, Sydney Institute of Agriculture, University of Sydney, 1 Central Av., Eveleigh, 2016 Australia.

Publisher

Wageningen Academic Publishers

Link

https://www.wageningenacademic.com/doi/pdf/10.3920/978-90-8686-888-9_88

Reference42 articles.

1. Baruth, B., Royer, A., Klisch, A. & Genovese, G., 2008. The use of remote sensing within the MARS crop yield monitoring system of the European Commission. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Beijing, 37, 935-940.

2. Bauer, M. E., 1975. The role of remote sensing in determining the distribution and yield of crops. Advances in Agronomy, 27, 271-304.

3. Bureau of Meteorology, 2019. Australian Government.http://www.bom.gov.au/climate/data (last accessed February 2019).

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