Digitalisation in Agriculture: Knowledge and Learning Requirements of German Dairy Farmers

IF 1.5 Q2 EDUCATION & EDUCATIONAL RESEARCH
M. Goller, Carin Caruso, Christian Harteis
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引用次数: 5

Abstract

Purpose: This study aims at investigating how digitalisation (in the sense of industry 4.0) has changed the work of farmers and how they experience the changes from more traditional work to digitalised agriculture. It also investigates what knowledge farmers require on digitalised farms and how they acquire it. Dairy farming was used as domain of investigation since it, unlike other industries, has strongly been affected by digitalisation throughout the last years.Method: Exploratory interviews with 10 livestock farmers working on digitalised dairy farms were analysed using qualitative content analysis. A deductive and inductive coding strategy was used. Findings: Farming work has changed from more manual tasks towards symbol manipulation and data processing. Farmers must be able to use computers and other digital devices to retrieve and analyse sensor data that allow them to monitor and control the processes on their farm. For this new kind of work, farmers require elaborated mental models that link traditional farming knowledge with knowledge about digital systems, including a strong understanding of production processes underlying their farm. Learning is mostly based on instructions offered by manufacturers of the new technology as well as informal and non-formal learning modes. Even younger farmers report that digital technology was not sufficiently covered in their (vocational) degrees. In general, farmers emphasises the positive effects of digitalisation both on their working as well as private life. Conclusions: Farmers should be aware of the opportunities as well as the potential drawbacks of the digitalisation of work processes in agriculture. Providers of agricultural education (like vocational schools or training institutes) need to incorporate the knowledge and skills required to work in digitalised environments (e.g., data literacy) in their syllabi. Further studies are required to assess how digitalisation changes farming practices and what knowledge as well as skills linked to these developments are required in the future.
农业数字化:德国奶农的知识和学习要求
目的:本研究旨在调查数字化(工业4.0意义上的)如何改变农民的工作,以及他们如何体验从传统工作到数字化农业的变化。它还调查了农民在数字化农场中需要哪些知识,以及他们如何获得这些知识。奶牛养殖被用作调查领域,因为与其他行业不同,它在过去几年里受到数字化的强烈影响。方法:采用定性内容分析法对10名数字化奶牛场养殖户进行探索性访谈。采用演绎和归纳编码策略。研究发现:农业工作已经从更多的手工任务转变为符号操作和数据处理。农民必须能够使用计算机和其他数字设备来检索和分析传感器数据,使他们能够监测和控制农场的过程。对于这种新型工作,农民需要精心设计的心智模型,将传统农业知识与数字系统知识联系起来,包括对农场生产流程的深刻理解。学习主要基于新技术制造商提供的说明以及非正式和非正式的学习模式。甚至更年轻的农民也报告说,他们的(职业)学位没有充分涵盖数字技术。总的来说,农民强调数字化对他们的工作和私人生活的积极影响。结论:农民应该意识到农业工作流程数字化的机遇以及潜在的缺点。农业教育提供者(如职业学校或培训机构)需要将在数字化环境中工作所需的知识和技能(如数据素养)纳入其教学大纲。需要进一步的研究来评估数字化如何改变农业实践,以及未来需要哪些与这些发展相关的知识和技能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.90
自引率
23.10%
发文量
14
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