Digital Agriculture
This course provides the faculty of computer science and the faculty of agriculture students with an introduction to solving problems in the agriculture, food and animal science domains through applied data analytics and artificial intelligence principles, enabling them to engage with the practical challenges of farming while exploring the synergy between computer science and agriculture.
The course begins by establishing a foundation in applied data analytics tailored to agricultural applications. Students will delve into essential topics such as multimodal data integration, where diverse types of data—ranging from sensor readings to satellite imagery, computer vision, biomedical signals, sound analysis, environmental data, and signal processing—are combined to provide comprehensive insights into agricultural systems.