IoT Technology and Digital Upskilling Framework for Farmers in the Northern Rural Area of Thailand

Q3 Social Sciences
T. Yooyativong, Chayapol Kamyod
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引用次数: 0

Abstract

One-third of Thailand’s workers are in agriculture, but the country’s agricultural GDP is still less than 10% of its total GDP. Most Thai farmers are smallholders with limited land and low incomes. To improve the agricultural GDP and the economic situation of smallholder farmers, the Thai Government has been trying for decades to encourage and support smallholder farmers to adopt modern farming methods and smart farming equipment, including digital technologies. However, the improvement is still sluggish due to a lack of an effective approach to delivering essential digital knowledge and skills, as well as investment support for smart farming equipment. These have hindered smallholder farmers’ digital farming skill progress. To address this issue, the Broadcasting and Telecommunications Research and Development Fund for Public Interest has funded a project to develop the Digital Farmer Development Framework. This framework provides essential digital knowledge, training, coaching, and fundamental resources to upgrade smallholder digital-farming literacy to become digital farmers using problem- or project-based learning approaches and collaborative blended learning theories. Bloom’s taxonomy is used as a guideline for evaluating the framework’s effectiveness. Implementation of the Digital Farmer Development Framework has shown that farmers can significantly improve their digital farming literacy and are capable of using digital technology to improve farm management and productivity. Based on Bloom classification guidelines, 100% of the farms in the project can apply digital skills and utilize fundamental smart farming equipment as well as able to evaluate and analyze data from IoT devices. Moreover, 66% can create their own smart-system solution from fundamental smart farming tools for their farm. The project has also created a digital farmer community that shares knowledge and resources with others.
泰国北部农村地区农民的物联网技术和数字技能提升框架
泰国三分之一的工人从事农业,但该国的农业GDP仍不到其GDP总量的10%。大多数泰国农民都是小农户,土地有限,收入较低。为了提高农业GDP和小农的经济状况,泰国政府几十年来一直在努力鼓励和支持小农采用现代耕作方法和智能耕作设备,包括数字技术。然而,由于缺乏有效的方法来提供必要的数字知识和技能,以及对智能农业设备的投资支持,这种改善仍然缓慢。这些都阻碍了小农数字化农业技能的进步。为了解决这个问题,广播和电信公共利益研究与发展基金资助了一个开发数字农民发展框架的项目。该框架提供了必要的数字知识、培训、指导和基本资源,通过使用基于问题或项目的学习方法和协作混合学习理论,提升小农的数字农业素养,使其成为数字农民。Bloom的分类法被用作评估框架有效性的指南。数字农民发展框架的实施表明,农民可以显著提高他们的数字农业素养,并有能力利用数字技术改善农场管理和生产力。根据Bloom分类指南,项目中100%的农场都可以应用数字技能,利用基本的智能农业设备,并能够评估和分析来自物联网设备的数据。此外,66%的人可以用基本的智能农业工具为他们的农场创建自己的智能系统解决方案。该项目还创建了一个数字农民社区,与他人分享知识和资源。
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来源期刊
Journal of Mobile Multimedia
Journal of Mobile Multimedia Social Sciences-Communication
CiteScore
1.90
自引率
0.00%
发文量
80
期刊介绍: The scope of the journal will be to address innovation and entrepreneurship aspects in the ICT sector. Edge technologies and advances in ICT that can result in disruptive concepts of major impact will be the major focus of the journal issues. Furthermore, novel processes for continuous innovation that can maintain a disruptive concept at the top level in the highly competitive ICT environment will be published. New practices for lean startup innovation, pivoting methods, evaluation and assessment of concepts will be published. The aim of the journal is to focus on the scientific part of the ICT innovation and highlight the research excellence that can differentiate a startup initiative from the competition.
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