2025-02-22T00:57:55-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: Query fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22irk-123456789-117229%22&qt=morelikethis&rows=5
2025-02-22T00:57:55-05:00 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
2025-02-22T00:57:55-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: <= 200 OK
2025-02-22T00:57:55-05:00 DEBUG: Deserialized SOLR response
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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| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Інститут проблем штучного інтелекту МОН України та НАН України
2016
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| Series: | Штучний інтелект |
| Subjects: | |
| Online Access: | http://dspace.nbuv.gov.ua/handle/123456789/117229 |
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