Datafront Skill Surge: Integrating technology in agriculture

Course description

What do we mean when we talk about administrative data? Why is administrative data considered such a powerful tool?

Routinely collected administrative data captures interactions across the entire population, offering an unparalleled breadth and depth of information.

This on-demand series aims to equip researchers with the knowledge and skills to harness data for societal and sustainable change. This series covers important topics such as the use of administrative data in policymaking, circular economy models, climate resilience, and the impact of digital media on behaviour, with emphasis on the importance of interdisciplinary collaboration and innovative strategies to address global challenges.

Participants will gain insights from experts, study case studies, and explore practical examples that illustrate how data-driven approaches and emerging technologies are transforming urban planning, agriculture, and health – that will empower researchers to shape the future of the data landscape!

• Session 18 will explore how innovations like IoT, AI, drones, and automation are not only addressing these challenges but also transforming agriculture into a more sustainable, efficient, and resilient industry.

 

Learning mode

On-demand, self-paced 

 

Who should attend

This course is intended for:

• Data Analysts and Researchers: Those working with administrative or big data who want to deepen their understanding of its characteristics and uses.
• Policymakers and Government Officials: Decision-makers who rely on data to shape public policies.
• Public Sector Managers: Managers in government institutions seeking to optimise data usage for service improvements.
• Health and Social Care Professionals: Individuals looking to use data for improving service delivery and outcomes.
• Urban Planners and Public Health Professionals: Individuals interested in using administrative data to inform planning and health policies.

 

Aims and objectives

• To explore the role of advanced technologies in transforming agriculture.
• To understand how IoT, AI, and automation enhance productivity and sustainability.
• To discuss challenges and ethical considerations in adopting agricultural technologies.

 

Skills area and competencies

Based on the Datacise Open Learning framework, the relevant skills and competencies for this video include:

Skills Areas:

• Technological Proficiency: Understanding IoT, AI, and automation in farming.
• Sustainability Planning: Designing resource-efficient agricultural systems.

Competencies:

• Proficiency in applying data-driven approaches to agricultural practices.
• Skills in evaluating the benefits and challenges of modern farming technologies.
• Ability to design inclusive strategies for smallholder farmers.

 

Pre-requisite

• Basic knowledge of agricultural practices and challenges.
• Familiarity with the principles of sustainability.

 

Learning outcomes

• Analyse the benefits and challenges of integrating technology in agriculture.
• Develop strategies to implement advanced technologies in diverse farming contexts.
• Understand ethical considerations in tech-enabled farming.

 

Transferable skills

• Critical Thinking: Solving complex agricultural challenges.
• Collaboration: Engaging stakeholders for sustainable farming solutions.
• Innovative Problem-Solving: Leveraging technology for impactful change.

 

Assessment

Multiple choice quiz to self-check understanding. 

 

This training content was originally developed and produced by Professor Adam Chee, Datacise Education Lead at Swansea University, with narration enhanced by advanced text-to-speech technology.