Smart Farming Solutions

Course Description

This LU aims at providing students with a general understanding of the applications of digital technologies. and modern tools in agriculture, equipping them with the understanding to monitor, manage and make informed decisions to improve productivity and sustainability in farming.

Learning outcomes

Knowledge

After the completion of this LU, the learner will:

• Identify the concepts of digital technologies, including artificial intelligence, the internet of things
• and robotics as applied to agriculture.
• Name various monitoring systems and precision agriculture techniques for collecting and analysing essential information related to key agricultural factors.
• Identify real‐world applications of smart farming, including the integration of digital technologies
• and their impact on farm management and sustainability.

Skills

After the completion of this LU, the learner will be able to:

• Identify various monitoring systems and sensor technologies used to collect data on soil conditions, crop health, environmental factors and livestock.
• Analyse modern tools and techniques used in precision agriculture, such as remote sensing, drones, satellite imagery and data analytics for optimizing agricultural practices.

Competences

After the completion of this LU, the learner will be competent to:

• Understand digital technologies in agricultural processes.
• Appraise sustainable farming practices using digital technologies.