Assessing the Yield of Wheat Using Satellite Remote Sensing-Based Machine Learning Algorithms and Si...
Assessing the Yield of Wheat Using Satellite Remote Sensing-Based Machine Learning Algorithms and Simulation Modeling
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Publisher
Basel: MDPI AG
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Language
English
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Publisher
Basel: MDPI AG
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Contents
Globally, estimating crop acreage and yield is one of the most critical issues that policy and decision makers need for assessing annual crop productivity and food supply. Nowadays, satellite remote sensing and geographic information system (GIS) can enable the estimation of these crop production parameters over large geographic areas. The present...
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Full title
Assessing the Yield of Wheat Using Satellite Remote Sensing-Based Machine Learning Algorithms and Simulation Modeling
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TN_cdi_doaj_primary_oai_doaj_org_article_cfa77a6b12e34c96bc9f97d28539a20e
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_cfa77a6b12e34c96bc9f97d28539a20e
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ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs14133005
