Overview

This programme explores the application of emerging technologies, including artificial intelligence (AI), machine learning (ML) and the Internet of Things (IoT), to enhance climate resilience in agriculture. Participants will discover how to harness these technologies to promote sustainable agricultural practices, boost efficiency and mitigate the impacts of climate change. Specifically, the programme will cover the application of predictive analytics, smart sensors and automation in farming to optimise crop yields, reduce waste and enhance decision-making.

Learning Outcomes

Upon completing the programme, participants will be able to:

• Understand the role of AI and machine learning in climate-smart agricultural practices
• Develop skills in AI-driven crop and soil monitoring, predictive analytics, and automation in farming
• Design and implement strategies to mitigate the impacts of climate change on farming using emerging technologies
• Apply AI-powered solutions across various agricultural platforms, including livestock, crops, poultry, and fishing
• Utilise AI and machine learning to address real-time agricultural challenges
• Develop predictive models for yield estimation and risk assessment
• Enhance farming efficiency through AI-powered automation

Curriculum

1. Introduction to Climate-Resilient Agriculture and Emerging Technologies

2. AI and Machine Learning for Precision Farming and Climate Adaptation

3. IoT and Smart Sensors in Precision Agriculture

4. Sustainable Resource Management and AI-Powered Climate Forecasting

5. Data Analytics for Sustainable Agriculture and Predictive Modelling

6. Case Studies and Field Demonstrations of Emerging Technologies in Agriculture

Pedagogy

• Practical coding sessions for machine learning models
• Real-time AI applications in agriculture
• Group projects on AI-enabled farming solutions
• Case studies on climate-resilient farming
• Hands-on training with AI modelling tools
• Field demonstrations on AI-assisted soil monitoring
• Collaborative learning with experts from research institutes and industry

Target Audience

• Agronomists, environmental scientists, and farmers
• Policymakers in sustainable agriculture and emerging technologies
• AI and data science professionals interested in agritech
• Agricultural researchers and tech innovators
• Agricultural extension agents and educators