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Prediction of Winter Wheat Yield Based on Multi-Source Data and Machine Learning in China

Prediction of Winter Wheat Yield Based on Multi-Source Data and Machine Learning in China

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d98e18a160df4638afca1e353acebdc7

Prediction of Winter Wheat Yield Based on Multi-Source Data and Machine Learning in China

About this item

Full title

Prediction of Winter Wheat Yield Based on Multi-Source Data and Machine Learning in China

Publisher

Basel: MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2020-01, Vol.12 (2), p.236

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Wheat is one of the main crops in China, and crop yield prediction is important for regional trade and national food security. There are increasing concerns with respect to how to integrate multi-source data and employ machine learning techniques to establish a simple, timely, and accurate crop yield prediction model at an administrative unit. Many...

Alternative Titles

Full title

Prediction of Winter Wheat Yield Based on Multi-Source Data and Machine Learning in China

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_d98e18a160df4638afca1e353acebdc7

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d98e18a160df4638afca1e353acebdc7

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs12020236

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