New Risk Management Study Findings Reported from Natural Resources Institute Finland (Fires and Fire Risk Perception Predictors On Finnish Farms): Risk Management

2024 FEB 08 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- Investigators publish new report on Risk Management. According to news originating from Helsinki, Finland, by NewsRx correspondents, research stated, “The physical and operational farm environment has become more complex, challenging risk management. This study aimed to identify the number and typical features of farm fires and the factors connected to farmers’ assessments of fire risk.”

Financial support for this research came from EU/EAFRD.

Our news journalists obtained a quote from the research from Natural Resources Institute Finland, “The data comprised a subset extracted from the national accident database of the Finnish rescue services from 2000 to 2021 (3,989 farm fire alarm calls) and farm survey data collected in the spring of 2021 (506 valid responses). The descriptive analysis of the fire incident data showed that the most typical fire sites on farms were dairy cattle buildings, grain dryers, and heating plants. Most farmers (83.4%) assessed the probability of fire as intermediate or high.”

According to the news editors, the research concluded: “The Bayesian machine learning approach used to analyse the survey data suggested the control of malfunctions, failures of machinery and equipment, and educational efforts were key elements in fire risk management.”

This research has been peer-reviewed.

For more information on this research see: Fires and Fire Risk Perception Predictors On Finnish Farms. Acta Agriculturae Scandinavica Section A - Animal Science, 2024. Acta Agriculturae Scandinavica Section A - Animal Science can be contacted at: Taylor & Francis As, Karl Johans Gate 5, No-0154 Oslo, Norway.

The news correspondents report that additional information may be obtained from K. O. Kaustell, Natural Resources Institute Finland, Helsinki, Finland. Additional authors for this research include E. Liski, T. E. A. Mattila and J. Leppaelae.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1080/09064702.2023.2298465. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

(Our reports deliver fact-based news of research and discoveries from around the world.)