从数字农业向数字生物经济过渡的多尺度障碍综述

C. Eastwood, J. Turner, A. Romera, D. Selbie, Roxanne J. T. Henwood, M. Espig, M. Wever
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引用次数: 5

摘要

在过去十年中,数字技术在农业中的应用受到了极大的关注。人们对在更广泛的生物经济规模上实现数字化的潜在机会越来越感兴趣;然而,人们对数字生物经济的潜在障碍了解有限。本章回顾了目前关于数字农业障碍的知识,并使用一个案例研究将这些障碍与生物经济规模联系起来。我们发现,采用障碍不仅仅是技术上的,还包括经济、社会和制度层面,并在涉及技术设计、农场系统(包括供应链)、农业创新系统和社会的多个尺度上发生。此外,这些障碍可以高度相互关联。例如,围绕数据互操作性的技术问题不能独立于农场规模上与隐私和农民数据透明使用相关的社会问题来解决。从生物经济的角度审视这些多维度和多尺度的问题,凸显了数字生物经济创新的方向性和国家政策和举措的一致性的必要性。与其假设更多地使用数字工具对国家生物经济具有内在的积极作用,各国应有意识地评估和预测数字化的潜在影响。我们的综述强调了数字生物经济中方向性的三个机会。第一个是技术设计和开发直接响应和解决社会(而不仅仅是最终用户)的需求和障碍。二是设计和开发数据治理、商业模式和数据标准,使其透明,激发信任,并在供应链利益相关者之间分享数字技术的好处。第三是大大拓宽对数字农业社会价值的评估。解决数字生物经济的采用障碍将来自于以目的或“使命”为导向的数字化综合应用,而不是以技术为中心。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A review of multi-scale barriers to transitioning from digital agriculture to a digital bioeconomy
The use of digital technologies in agriculture has received significant attention in the last decade. There is increasing interest in the potential opportunities for digitalization at a broader bioeconomy scale; however, there is limited knowledge of the potential barriers to a digital bioeconomy. This chapter reviews current knowledge on barriers to digital agriculture and uses a case study to relate these barriers to the bioeconomy scale. We found that adoption barriers are not just technical, but include economic, social, and institutional dimensions, and occur at multiple scales involving technology design, farm systems (including supply chains), the agricultural innovation system, and society. Additionally, these barriers can be highly interconnected. For example technical issues around data interoperability cannot be addressed independently of social issues at the farm scale related to perceptions around privacy and transparent use of farmer data. Examining these multi-dimensional and multi-scale issues through a bioeconomy lens highlights the need for directionality in digital bioeconomy innovation and alignment of national policies and initiatives. Rather than assuming that greater use of digital tools is inherently positive for a national bioeconomy, nations should purposely assess and anticipate the potential implications of digitalization. Our review highlights three opportunities for directionality in the digital bioeconomy. The first is for technology design and development to directly respond to and address societal (not only end-user) needs and barriers to uptake. The second is to design and develop data governance, business models, and standards for data, which are transparent, inspire trust, and share benefits of digital technologies among supply chain stakeholders. The third is to considerably broaden the assessment of societal value from digital agriculture. Addressing the adoption barriers to the digital bioeconomy will come from integrated applications of digitalization that are purpose or ‘mission’ led, rather than inherently techno-centric.
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