A Deep–Learning Network for Wheat Yield Prediction Combining Weather Forecasts and Remote Sensing Da...
A Deep–Learning Network for Wheat Yield Prediction Combining Weather Forecasts and Remote Sensing Data
About this item
Full title
Author / Creator
Peng, Dailiang , Cheng, Enhui , Feng, Xuxiang , Hu, Jinkang , Lou, Zihang , Zhang, Hongchi , Zhao, Bin , Lv, Yulong , Peng, Hao and Zhang, Bing
Publisher
Basel: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
Subjects
More information
Scope and Contents
Contents
Accurately predicting winter wheat yield before harvest could greatly benefit decision-makers when making management decisions. In this study, we utilized weather forecast (WF) data combined with Sentinel-2 data to establish the deep-learning network and achieved an in-season county-scale wheat yield prediction in China’s main wheat-producing areas...
Alternative Titles
Full title
A Deep–Learning Network for Wheat Yield Prediction Combining Weather Forecasts and Remote Sensing Data
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_d6413b4bc336432fa6d59fa9156250a3
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d6413b4bc336432fa6d59fa9156250a3
Other Identifiers
ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs16193613
