2025-02-22T10:27:33-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: Query fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22irk-123456789-117229%22&qt=morelikethis&rows=5
2025-02-22T10:27:33-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: => GET http://localhost:8983/solr/biblio/select?fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22irk-123456789-117229%22&qt=morelikethis&rows=5
2025-02-22T10:27:33-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: <= 200 OK
2025-02-22T10:27:33-05:00 DEBUG: Deserialized SOLR response
Intelligent Web Facility To Enhance Yield,Resilience And Sustainability Ukrainian And USA Farms

Intelligent Web Facility To Enhance Yield,Resilience And Sustainability Ukrainian And USA Farms

This paper proposes to implement a computational model and intelligent software for farms, that give the farmer a set of robust and viable options for crop, soil, and water management, enhance crop resiliency to climate change, the effects of pests, plant diseases and other environmental factors. Mo...

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Bibliographic Details
Main Authors: Kuc, R., Shevchenko, A., Chaplinskyy, Y., Kachur, I., Zvenigorodskyi, O.
Format: Article
Language:English
Published: Інститут проблем штучного інтелекту МОН України та НАН України 2016
Series:Штучний інтелект
Subjects:
Прикладні інтелектуальні технології та системи
Online Access:http://dspace.nbuv.gov.ua/handle/123456789/117229
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2025-02-22T10:27:33-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: Query fl=%2A&rows=40&rows=5&wt=json&json.nl=arrarr&q=id%3A%22irk-123456789-117229%22&qt=morelikethis
2025-02-22T10:27:33-05:00 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%22irk-123456789-117229%22&qt=morelikethis
2025-02-22T10:27:33-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: <= 200 OK
2025-02-22T10:27:33-05:00 DEBUG: Deserialized SOLR response

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