2025-02-23T00:06:15-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: Query fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22uajuacgovua-article-275%22&qt=morelikethis&rows=5
2025-02-23T00:06:15-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: => GET http://localhost:8983/solr/biblio/select?fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22uajuacgovua-article-275%22&qt=morelikethis&rows=5
2025-02-23T00:06:15-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: <= 200 OK
2025-02-23T00:06:15-05:00 DEBUG: Deserialized SOLR response
Yield prediction at field level

Yield prediction at field level

Yield prediction at the field level is crucial for optimizing agricultural productivity and ensuring food security. This study analyzes the yield variability of maize, sunflower, and winter wheat across 481 agricultural fields in two regions of Ukraine (Kyiv and Cherkasy) over a three-year period (2...

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Bibliographic Details
Main Authors: Kryvoshein, Oleksandr, Kryvobok, Oleksii, Zhylchenko, Dmytro
Format: Article
Language:English
Published: Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine, Kyiv, Ukraine 2024
Subjects:
yield
prediction
crops
field
satellite data
machine learning
Online Access:https://ujrs.org.ua/ujrs/article/view/275
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2025-02-23T00:06:15-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: Query fl=%2A&rows=40&rows=5&wt=json&json.nl=arrarr&q=id%3A%22uajuacgovua-article-275%22&qt=morelikethis
2025-02-23T00:06:15-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: => GET http://localhost:8983/solr/biblio/select?fl=%2A&rows=40&rows=5&wt=json&json.nl=arrarr&q=id%3A%22uajuacgovua-article-275%22&qt=morelikethis
2025-02-23T00:06:15-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: <= 200 OK
2025-02-23T00:06:15-05:00 DEBUG: Deserialized SOLR response

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