BI4IPM
| Autor: | Claudio Zaza, Sandro Bimonte, Piermichele La Sala, Crescenzio Gallo, Francesco Contò, Nicola Faccilongo |
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| Přispěvatelé: | UNIVERSITY OF FOGGIA UR HERMES FOGGIA ITA, Partenaires IRSTEA, Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Technologies et systèmes d'information pour les agrosystèmes (UR TSCF), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), UNIVERSITY OF FOGGIA FOGGIA ITA |
| Rok vydání: | 2018 |
| Předmět: |
2. Zero hunger
Integrated pest management Engineering Agroforestry business.industry 04 agricultural and veterinary sciences 02 engineering and technology 15. Life on land 12. Responsible consumption Tree (data structure) PERSPECTIVES 13. Climate action [SDE]Environmental Sciences Business intelligence 040103 agronomy & agriculture 0202 electrical engineering electronic engineering information engineering 0401 agriculture forestry and fisheries 020201 artificial intelligence & image processing business Information Systems |
| Zdroj: | International Journal of Agricultural and Environmental Information Systems International Journal of Agricultural and Environmental Information Systems, IGI Global, 2018, 9 (1), pp.16-38. ⟨10.4018/IJAEIS.2018010102⟩ |
| ISSN: | 1947-3206 1947-3192 |
| Popis: | International audience; The Agri-Food sector is facing global challenges. The first challenge is feeding a world population that will reach 9.3 billion people in 2050, according to UN projections. The second challenge is the demand from consumers for high-quality products obtained through more sustainable, safe and clear agri-food chains. Integrated pest management (IPM) could be an important instrument for helping farmers face these challenges. IPM requires the simultaneous use of different crop protection techniques to control pests through an ecological and economic approach. This work explores the possibility of developing a framework that combines business intelligence (BI) technologies with IPM principles to support farmers in the decisional process, thereby decreasing environmental cost and improving production performance. The proposed BI system is called BI4IPM, and it combines on-line transaction processing (OLTP) with on-line analytical processing (OLAP) to verify adherence to the IPM technical specifications. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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