Digital Technologies and Iot for Agriculture
A.Y. 2025/2026
Learning objectives
Know the general characteristics of the main embedded and IoT systems.Understand the operating principles of the main sensors used in agricultural processes and actuators used in the regulation of machines and plants. Study the various types of databases. Acquire the logical fundamentals of data communication systems for intra- and extra-farm use.
Expected learning outcomes
Be able to understand and manage an ICT system starting from data collection, subsequent processing and storage. Know how data are acquired by sensors and their use within partial and/or full process automation systems.
Lesson period: First semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Lesson period
First semester
ING-INF/05 - INFORMATION PROCESSING SYSTEMS - University credits: 6
Practicals: 16 hours
Lessons: 40 hours
Lessons: 40 hours