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Identifying the Contributions of Multi-Source Data for Winter Wheat Yield Prediction in China

Identifying the Contributions of Multi-Source Data for Winter Wheat Yield Prediction in China

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8d997dd95eb94d57a31d9b400f88e93c

Identifying the Contributions of Multi-Source Data for Winter Wheat Yield Prediction in China

About this item

Full title

Identifying the Contributions of Multi-Source Data for Winter Wheat Yield Prediction in China

Publisher

MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2020-03, Vol.12 (5), p.750

Language

English

Formats

Publication information

Publisher

MDPI AG

More information

Scope and Contents

Contents

Wheat is a leading cereal grain throughout the world. Timely and reliable wheat yield prediction at a large scale is essential for the agricultural supply chain and global food security, especially in China as an important wheat producing and consuming country. The conventional approach using either climate or satellite data or both to build empiri...

Alternative Titles

Full title

Identifying the Contributions of Multi-Source Data for Winter Wheat Yield Prediction in China

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_8d997dd95eb94d57a31d9b400f88e93c

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8d997dd95eb94d57a31d9b400f88e93c

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs12050750

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