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      The adoption of precision agriculture enabling technologies in Swiss outdoor vegetable production: a Delphi study

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          Abstract

          Digital technologies are a promising means to tackle the increasing global challenges (e.g., climate change, water pollution, soil degradation) and revolutionising agricultural production. The current research used a two-stage Delphi study with 34 experts from various domains, including production, advisory and research, to identify the key drivers and barriers, the most promising technologies and possible measures to support technology adoption in Swiss outdoor vegetable production. Combining these experts’ views, the method provides realistic scenarios for future development. In Round 1, open-ended questions were used to collect the experts’ opinions. These were then transformed into closed-ended questions for Round 2, where controlled feedback was provided to the experts. Twenty-six experts participated in both rounds, resulting in an overall response rate that was comparably high (76%). It was found that economic factors were important drivers and barriers in technology adoption and, consequently, the experts recommended financial measures to support this adoption. The practical relevance of new technologies provided through communication and education holds further potential in terms of their promotion. These findings are valuable beyond the research field. Educators and policy makers can build on the results and optimally align their efforts to target technology adoption and contribute to more sustainable agriculture.

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          The Delphi method as a research tool: an example, design considerations and applications

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            An Experimental Application of the DELPHI Method to the Use of Experts

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              The Delphi Technique: Making Sense of Consensus

              The Delphi technique is a widely used and accepted method for gathering data from respondents within their domain of expertise. The technique is designed as a group communication process which aims to achieve a convergence of opinion on a specific real-world issue. The Delphi process has been used in various fields of study such as program planning, needs assessment, policy determination, and resource utilization to develop a full range of alternatives, explore or expose underlying assumptions, as well as correlate judgments on a topic spanning a wide range of disciplines. The Delphi technique is well suited as a method for consensus-building by using a series of questionnaires delivered using multiple iterations to collect data from a panel of selected subjects. Subject selection, time frames for conducting and completing a study, the possibility of low response rates, and unintentionally guiding feedback from the respondent group are areas which should be considered when designing and implementing a Delphi study. Accessed 68,465 times on https://pareonline.net from August 30, 2007 to December 31, 2019. For downloads from January 1, 2020 forward, please click on the PlumX Metrics link to the right.
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                Author and article information

                Contributors
                jeanine.ammann@agroscope.admin.ch
                Journal
                Precis Agric
                Precis Agric
                Precision Agriculture
                Springer US (New York )
                1385-2256
                1573-1618
                4 March 2022
                4 March 2022
                : 1-21
                Affiliations
                [1 ]GRID grid.417771.3, ISNI 0000 0004 4681 910X, Agroscope, Research Division on Competitiveness and System Evaluation, ; Tänikon 1, 8356 Ettenhausen, Switzerland
                [2 ]Thünen Institute of Agricultural Technology, 38116 Braunschweig, Germany
                Author information
                http://orcid.org/0000-0001-6242-0148
                Article
                9889
                10.1007/s11119-022-09889-0
                8894125
                35261556
                674b3a6e-f1fb-499f-8f6a-af4fe86eff83
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 5 February 2022
                Funding
                Funded by: Agroscope
                Categories
                Article

                smart farming,technologies,drivers,barriers,experts,agriculture
                smart farming, technologies, drivers, barriers, experts, agriculture

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