Machine Learning Methods in Site-Specific Management Research: An Australian Case Study-Reference-Cited by-同舟云学术

Machine Learning Methods in Site-Specific Management Research: An Australian Case Study

Published:2015-11-02 Issue: Volume: Page:1321-1333
ISSN:2691-2341
Container-title:Proceedings of the Fourth International Conference on Precision Agriculture
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Author:

Adams M. L.¹,Cook S. E.¹,Caccetta P. A.²,Pringle M. J.³⁴

Affiliation:

1. CSJRO Division of Land and Water; Floreat Park Laboratories; Wembley West Australia Australia

2. Satellite Remote Sensing Services; WA Department of Land Administration; Floreat West Australia Australia

3. Australian Center for Precision Agriculture; University of Sydney; Sydney New South Wales Australia

4. CSIRO Division of Land and Water; Floreat Park Laboratories; Wembley West Australia Australia

Publisher

American Society of Agronomy, Crop Science Society of America, Soil Science Society of America

Link

Reference25 articles.

1. The development of a soil test for sulphur;Anderson;Norwegian J. Agric. Sci,1994

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