European beekeepers’ interest in digital monitoring technology adoption for improved beehive management

IF 7.7 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
Wim Verbeke , Mariam Amadou Diallo , Coby van Dooremalen , Marten Schoonman , James H. Williams , Marie Van Espen , Marijke D’Haese , Dirk C. de Graaf
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Abstract

This study investigates the adoption of Digital Beehive Monitoring Technology (DBMT) based on a survey with 844 beekeepers across 18 European countries, shedding light on their characteristics, current usage patterns, expected benefits, and the determinants influencing technology adoption. Notably, 79.1 % of beekeepers had yet to embrace any form of digital monitoring, while 20.9 % engaged in limited monitoring, primarily focused on hive weight. The perceived benefits of DBMT were explored, with hive management facilitation, colony health enhancement, winter loss reduction, and time-saving emerging as primary expectations. A quarter of beekeepers expressed uncertainty regarding these anticipated benefits, underscoring the need for increased awareness and education about the advantages of DBMT. Logistic regression is used to uncover key determinants influencing DBMT adoption, emphasizing the role of professionalism, regional disparities, and active participation in beekeepers’ associations. The application of the Theory of Planned Behaviour (TPB) through Structural Equation Modelling reinforced the central role of beekeepers’ personal attitudes in shaping their intention to adopt DBMT, with social norms and perceived behavioural control providing complementary albeit minor influences. The findings imply that hobbyist beekeepers may be more involved in beekeeping as a nature-centric activity, whereas professional beekeepers demonstrate a greater inclination toward digitalisation. With the so-called social tipping point of 25 % for technology adoption being almost reached, this study provides a timely empirical perspective on the European beekeeping sector’s evolution towards digitalisation, so-called Apiculture 4.0.
欧洲养蜂人对采用数字监测技术改善蜂箱管理的兴趣
本研究通过对欧洲 18 个国家的 844 名养蜂人进行调查,研究了数字蜂箱监测技术(DBMT)的采用情况,揭示了养蜂人的特点、当前使用模式、预期效益以及影响技术采用的决定因素。值得注意的是,79.1%的养蜂人尚未采用任何形式的数字监测,20.9%的养蜂人进行了有限的监测,主要集中在蜂巢重量方面。养蜂人对 DBMT 的预期效益进行了探讨,主要期望是促进蜂巢管理、增强蜂群健康、减少冬季损失和节省时间。四分之一的养蜂人对这些预期效益表示不确定,这突出表明需要提高对 DBMT 优势的认识和教育。逻辑回归用于揭示影响采用 DBMT 的关键决定因素,强调了专业精神、地区差异和积极参与养蜂人协会的作用。通过结构方程模型对计划行为理论(TPB)的应用,加强了养蜂人的个人态度在影响其采用 DBMT 的意愿中的核心作用,而社会规范和感知行为控制提供了补充性影响,尽管是次要影响。研究结果表明,业余养蜂人可能更倾向于将养蜂作为一项以自然为中心的活动,而专业养蜂人则更倾向于数字化。随着所谓的技术采用率 25% 的社会临界点即将达到,这项研究及时提供了一个实证视角,以探讨欧洲养蜂业向数字化(即养蜂业 4.0)的演变。
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来源期刊
Computers and Electronics in Agriculture
Computers and Electronics in Agriculture 工程技术-计算机:跨学科应用
CiteScore
15.30
自引率
14.50%
发文量
800
审稿时长
62 days
期刊介绍: Computers and Electronics in Agriculture provides international coverage of advancements in computer hardware, software, electronic instrumentation, and control systems applied to agricultural challenges. Encompassing agronomy, horticulture, forestry, aquaculture, and animal farming, the journal publishes original papers, reviews, and applications notes. It explores the use of computers and electronics in plant or animal agricultural production, covering topics like agricultural soils, water, pests, controlled environments, and waste. The scope extends to on-farm post-harvest operations and relevant technologies, including artificial intelligence, sensors, machine vision, robotics, networking, and simulation modeling. Its companion journal, Smart Agricultural Technology, continues the focus on smart applications in production agriculture.
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