2026
IoT Internet of Things in Agriculture
Name: IoT Internet of Things in Agriculture
Code: FIT16250O
3 ECTS
Duration: 15 weeks/78 hours
Scientific Area:
Produção Agrícola e Animal
Teaching languages: Portuguese
Languages of tutoring support: Portuguese
Sustainable Development Goals
Learning Goals
Knowledge - Theoretical: Understand the fundamentals and evolution of IoT, especially as applied to agriculture; Technological: Know the key technologies, sensors, devices, and protocols used in agricultural IoT.
Skills - Data Analysis: Ability to collect, process, and analyse data from IoT devices; Problem Solving: Develop practical skills to implement and manage IoT solutions in agricultural contexts.
Competences: Practical Implementation: Apply knowledge in practical projects involving the setup and management of IoT systems in agriculture; Innovation and Sustainability: Foster the ability to innovate and use technology sustainably to improve agricultural efficiency and productivity.
Skills - Data Analysis: Ability to collect, process, and analyse data from IoT devices; Problem Solving: Develop practical skills to implement and manage IoT solutions in agricultural contexts.
Competences: Practical Implementation: Apply knowledge in practical projects involving the setup and management of IoT systems in agriculture; Innovation and Sustainability: Foster the ability to innovate and use technology sustainably to improve agricultural efficiency and productivity.
Contents
1) Introduction to IoT: Concepts, definitions, and historical perspective. Relevance in agriculture, with positive impacts on production systems.
2) Technologies and Tools: Sensors in the soil-water-plant triad (moisture, temperature, pH, leaf wetness, sap flow). Other sensors: RGB vs. multispectral. Communication via technologies such as LoRa, Zigbee, BLE, 6LoWPAN.
3) IoT Applications in Agriculture: Climate monitoring and automation, smart irrigation, and smart traps. Resource management, optimizing water and energy use.
4) Infrastructure and Protocols: Wireless sensor networks, platforms and hardware, MQTT and CoAP protocols, real-time application implementation.
5) Data Analysis and Decision-Making: Processing with software and algorithms; methods for efficient data collection and storage.
6) Case Studies and Future Perspectives: Successful examples and emerging trends with environmental impact.
7) Challenges and Limitations: Barriers and potential solutions in IoT implementation
2) Technologies and Tools: Sensors in the soil-water-plant triad (moisture, temperature, pH, leaf wetness, sap flow). Other sensors: RGB vs. multispectral. Communication via technologies such as LoRa, Zigbee, BLE, 6LoWPAN.
3) IoT Applications in Agriculture: Climate monitoring and automation, smart irrigation, and smart traps. Resource management, optimizing water and energy use.
4) Infrastructure and Protocols: Wireless sensor networks, platforms and hardware, MQTT and CoAP protocols, real-time application implementation.
5) Data Analysis and Decision-Making: Processing with software and algorithms; methods for efficient data collection and storage.
6) Case Studies and Future Perspectives: Successful examples and emerging trends with environmental impact.
7) Challenges and Limitations: Barriers and potential solutions in IoT implementation
Teaching Methods
Lectures and seminars: delivered in an expository manner with the use of presentations;
demonstrative, showcasing examples; and interrogative, by posing questions to students during the session.
demonstrative, showcasing examples; and interrogative, by posing questions to students during the session.
Assessment
Individual Written Test at the end of the course + Project Work
Final Grade
Final Grade = Written Test * 0.50 + Project Work * 0.50 (based on the student's individual work)
Approval
Students are considered approved if they are cumulatively:
(1) Obtain a final grade equal to or higher than 9.5 points
(2) Obtain a minimum grade of 8 points, on a scale of 0-20, in the Written Test component.
(3) Obtain a minimum grade of 8 points, on a scale of 0-20, in the Practical Project component.
Final Grade
Final Grade = Written Test * 0.50 + Project Work * 0.50 (based on the student's individual work)
Approval
Students are considered approved if they are cumulatively:
(1) Obtain a final grade equal to or higher than 9.5 points
(2) Obtain a minimum grade of 8 points, on a scale of 0-20, in the Written Test component.
(3) Obtain a minimum grade of 8 points, on a scale of 0-20, in the Practical Project component.
Accreditations and Certifications
