Optimising decision support tools for the agricultural sectorIakovidis, D., Gadanakis, Y. ORCID: https://orcid.org/0000-0001-7441-970X, Campos Gonzalez, J. ORCID: https://orcid.org/0000-0001-7348-1827 and Park, J. ORCID: https://orcid.org/0000-0002-3430-9052 (2024) Optimising decision support tools for the agricultural sector. Environment, Development and Sustainability. ISSN 1387-585X
It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.1007/s10668-024-04743-x Abstract/SummarySeveral challenges threaten the viability of agriculture in the Mediterranean region, for instance, climate change and variability, land degradation and desertification, environmental and social pressures in rural areas, and the arrangement and extent of properties. These challenges require the attention of farm managers and effective decision-making that can safeguard the natural resource base, enhance resilience and food security, and promote sustainable production landscapes. Decision Support Tools (DSTs) offer valuable assistance in addressing these challenges by improving the decision-making process for both farmers and advisors. They enable data-informed decisions that can enhance the sustainability performance of agricultural businesses in the region. A crucial component of designing a proficient DST is the prompt involvement of stakeholders using a participatory approach to define the needs and requirements of end users. In this study, we engaged twenty-nine stakeholders, including farmers, advisors, extension officers, policy makers, and industry representatives from the Argolida regional unit and the Greek National Ministry of Rural Development and Food. This engagement was aimed at conducting a comprehensive analysis of user needs. To achieve this, we employed the Q-methodology approach to gain a thorough comprehension of the viewpoints and requirements of these diverse stakeholder groups. The results illustrated factors such as the need for user-friendly interfaces, the importance of data accuracy and reliability, the benefit of flexibility and adaptability, and the need for appropriate training and support. These findings can aid the effective development of DSTs so that emerging challenges can be framed in a manner that will facilitate solutions.
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