

Precision Agriculture
Delivered by University College Dublin
Principles and theories that underpin the concept of Precision Agriculture.
- Starts January 2024
- Blended Teaching
- 5 Credits
- NFQ Level 8
- Course Option Module
- Course Fees: €875 EU Fee
The Digital Agriculture module suite is aimed at students and industry professionals who wish to build their knowledge and skills base to address the complexities of developing, deploying, and managing digital technology in the agriculture sector. Module topics include crop science and production, botany, organic agriculture, introduction to animal science, numerical methods for agriculture and so much more.
Listen to Dr. Dimitrios Argyropoulos, UCD School of Biosystems and Food Engineering, speaking about key trends in digital agriculture, the importance of transformation in the agricultural production process through rising role of automation and the skills required in the area.
"Digital agriculture is the integration of new and advanced technologies into crop and livestock farming systems to enable farmers and other professionals in the sector to improve food production.
For the implementation of Digital Agriculture four components are of high interest: the internet of things, cloud computing, big data analytics and artificial intelligence, and robotics"
delivered by UCD, ATU Sligo and TU Dublin
Digital Agriculture consists of a suite of modules aimed at students and industry professionals who wish to build their knowledge and skills-base to address the complexities of developing, deploying, and managing digital technology in the agriculture sector. With a focus on design, numeracy and hardware and software technology, our students are committed and engaged with agricultural production, and specifically technology to enhance efficiency, sustainability, and reliability. Technologies of interest range from data science methods, artificial intelligence, computer systems, networks, data management and sensors through machinery systems to precision agriculture.
Principles and theories that underpin the concept of Precision Agriculture.
Principles and theories that underpin the concept of precision livestock management .
Principles and theories that underpin the concept of precision livestock management .
Understand the basic principles, practice and applications of optical spectroscopic sensing.
Soils, descriptions, nature and diversity of soil organisms plus the response of soils to management practices.
Production and utilisation of a range crops such as potatoes, oilseed rape, faba beans and fodder crops.
Basic principles, practice and applications of hyperspectral imaging.
Understand and become critically aware of the basic principles, practice and applications of hyperspectral imaging.
Basic introduction to soil science.
Overview of key environmental challenges exploring the potential impacts of these on human populations.
Basic plant science with the objectives of plant production systems.
Overview of the main concepts of organic farming.
Overview of Cereal Production.
Address the complexities of developing and managing digital technology.