6533b7d8fe1ef96bd126a4a3
RESEARCH PRODUCT
A decision support system based on multisensor data fusion for sustainable greenhouse management
Pietro CataniaGiuseppe AielloIrene GiovinoAntonella ArgentoMariangela Vallonesubject
Decision support systemStrategy and ManagementContext (language use)02 engineering and technologyIndustrial and Manufacturing EngineeringGreen economyContextual designSettore ING-IND/17 - Impianti Industriali Meccanici0202 electrical engineering electronic engineering information engineeringEconomicsDecision support systemGeneral Environmental ScienceGreen economyPrecision agricultureRenewable Energy Sustainability and the EnvironmentManagement scienceSettore AGR/09 - Meccanica AgrariaIntegrated pest management04 agricultural and veterinary sciencesSensor fusionRisk analysis (engineering)Sustainability040103 agronomy & agriculture0401 agriculture forestry and fisheries020201 artificial intelligence & image processingProfitability indexDecision fusionPrecision agricultureWireless sensor networkdescription
The sustainable exploitation of natural resources is nowadays an important challenge for governments and institutions, considering the expected increase of the world population. In order to respond to this emergent criticality, the principles of green economy have been introduced in the European policy discussion to achieve a good compromise between the sustainability and the profitability of productions by increasing the efficiency of farming operations. Such approach poses some technical and financial challenges for small-sized enterprises because they generally do not possess adequate internal knowledge, nor they can acquire external expertise due to their budget restrictions. Decision Support Systems (DSS) can be an effective solution to overcome such difficulties, since they can involve expertsâ knowledge and complex mathematical elaborations on contextual data, thus helping managers in taking more effective decisions. Based on these motivations, the paper proposes a methodological approach to the development of a DSS in the specific context of Integrated Pest Management (IPM) applied to intensive (greenhouse) production, and an experimental validation based on real data. The DSS involves a rule-based decision approach based on referenced mathematical models applied to the information gathered by a sensor network. The multi sensor decision fusion methodology proposed represents an innovative contribution to the literature and an easy-to use and low cost solution to reduce the use of pesticides and fertilizers in protected crops.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2018-01-01 |