IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

BI4IPM: A Business Intelligence System for the Analysis of Olive Tree's Integrated Pest Management

BI4IPM: A Business Intelligence System for the Analysis of Olive Tree's Integrated Pest Management
View Sample PDF
Author(s): Claudio Zaza (Departement of Economics, University of Foggia, Foggia, Italy), Sandro Bimonte (IRSTEA, Aubière, France), Nicola Faccilongo (Department of Economics, University of Foggia, Foggia, Italy), Piermichele La Sala (Department of Economics, University of Foggia, Foggia, Italy), Francesco Contò (Department of Economics, University of Foggia, Foggia, Italy)and Crescenzio Gallo (Department of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy)
Copyright: 2018
Volume: 9
Issue: 1
Pages: 23
Source title: International Journal of Agricultural and Environmental Information Systems (IJAEIS)
Editor(s)-in-Chief: Frederic Andres (National Institute of Informatics, Japan), Chutiporn Anutariya (Asian Institute of Technology, Thailand), Teeradaj Racharak (Japan Advanced Institute of Science and Technology, Japan)and Watanee Jearanaiwongkul (National institute of Informatics, Japan)
DOI: 10.4018/IJAEIS.2018010102

Purchase

View BI4IPM: A Business Intelligence System for the Analysis of Olive Tree's Integrated Pest Management on the publisher's website for pricing and purchasing information.

Abstract

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.

Related Content

Vincent Soulignac, François Pinet, Mathilde Bodelet, Hélène Gross. © 2023. 28 pages.
Haiying Liu, Yongcai Lai, Zhenhua Xu, Zhonliang Yang, Yanmin Yu, Ping Yan. © 2023. 12 pages.
Ren Wang. © 2023. 14 pages.
Cédric Baudrit, Patrice Buche, Nadine Leconte, Christophe Fernandez, Maëllis Belna, Geneviève Gésan-Guiziou. © 2022. 22 pages.
Jingfa Wang, Huishi Du. © 2022. 11 pages.
Takahiro Kawamura, Tetsuo Katsuragi, Akio Kobayashi, Motoko Inatomi, Masataka Oshiro, Hisashi Eguchi. © 2022. 19 pages.
Daidyi Wang, Fengsong Zhang. © 2022. 15 pages.
Body Bottom