Intelligent Agriculture

About

With the growing global population and rapid urbanisation, traditional agriculture faces challenges such as resource shortages, environmental pollution, and climate change. Intelligent agriculture, leveraging modern technologies like the Internet of Things, big data, and artificial intelligence, offers an innovative solution to enhance productivity, ensure food security, and promote sustainability. As a result, there is an urgent need to cultivate talent skilled in intelligent agriculture.

Intelligent agriculture is a new model that utilises information technology and intelligent methods to improve efficiency, reduce costs, optimise resource use, and enhance sustainability. Key components include the application of information technology, smart devices, automation, precision agriculture, and supply chain management

This course aims to provide participants with an in-depth understanding of intelligent agriculture's concepts and technologies, their applicability and also limitations - important to using them to benefit future agricultural development. Through a blend of practical and theoretical learning, participants will gain valuable knowledge and experience, preparing them for future contributions to agricultural innovation

Target group

This course is designed for a dynamic audience, including Bachelor and Master students in agriculture, environmental science, data science, and engineering who are eager to see how technology can transform farming. We also welcome early-career researchers looking to explore the latest innovations in intelligent agriculture and connect with industry experts. Join us for an exciting journey where technology meets agriculture, and let's cultivate a sustainable future together! Your adventure in intelligent agriculture starts here!

Course aim

After successful completion of this programme, you will be able to:
- understand the principles and applications - gain a solid foundation in the principles of intelligent agriculture technologies and their practical applications in modern farming.
- utilise Data-Driven Tools - get to know the relevance and use of data-driven tools such as artificial intelligence (AI), the Internet of Things (IoT), and machine learning in real agricultural settings.
- experience sustainable practices - explore how these technologies can be used to enhance crop yields, optimise resource utilisation, and adapt to climate challenges, ensuring a resilient agricultural future.
- apply intelligent agriculture practices and innovative solutions in a Collaborative Capstone Project with Critical Engagement

Fee info