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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| Veröffentlicht in: | Штучний інтелект |
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| Datum: | 2016 |
| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | English |
| Veröffentlicht: |
Інститут проблем штучного інтелекту МОН України та НАН України
2016
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| Schlagworte: | |
| Online Zugang: | https://nasplib.isofts.kiev.ua/handle/123456789/117229 |
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| Назва журналу: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Zitieren: | Intelligent Web Facility To Enhance Yield,Resilience And Sustainability Ukrainian And USA Farms / R. Kuc, A. Shevchenko, Y. Chaplinskyy, I. Kachur, O. Zvenigorodskyi // Штучний інтелект. — 2016. — № 1. — С. 75-84. — Бібліогр.: 15 назв. — англ. |
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Digital Library of Periodicals of National Academy of Sciences of Ukraine| Zusammenfassung: | 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. Model and intelligent software for farms includes the following tasks: search, analysis and storage in a dedicated base of relevant data gleaned from the Internet, the interaction with the farmer through a dedicated interface, the development of the farmer’s solution by database and integrated knowledge base for plant protection.
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| ISSN: | 1561-5359 |