Unit SENSORS FOR MONITORING AGRO-FORESTRY SYSTEMS
- Course
- Sustainable agriculture
- Study-unit Code
- A005757
- Curriculum
- Territorio e paesaggio
- Teacher
- Lorenzo Vergni
- Teachers
-
- Lorenzo Vergni
- Grazia Tosi (Codocenza)
- Hours
- 18 ore - Lorenzo Vergni
- 9 ore (Codocenza) - Grazia Tosi
- CFU
- 3
- Course Regulation
- Coorte 2025
- Offered
- 2025/26
- Learning activities
- A scelta dello studente
- Area
- A scelta dello studente
- Academic discipline
- AGR/08
- Type of study-unit
- Opzionale (Optional)
- Type of learning activities
- Attività formativa monodisciplinare
- Language of instruction
- Italian
- Contents
- Introduction to the use of sensors in agriculture: types and operating principles, installation, positioning, programming, and management. Sensors in soil, sensors on plants, microclimatic sensors, sensors for monitoring networks and water resources in agriculture, contact/proximal/sensors. Data Processing: post-processing of data, data preparation (filtering), mapping (interpolation, clustering), processing, interpretation, and real-time data management. Data Acquisition and Communication: digitization, acquisition systems, calibration.
- Reference texts
- Notes provided by the teacher
- Educational objectives
- To provide the student with theoretical and practical knowledge about the main sensors used in the agroforestry sector, with particular reference to those used for water monitoring in various contexts (irrigation networks, hydrological cycle, irrigation)
- Prerequisites
- Basic knowledge of physics, mathematics, and computer science
- Teaching methods
- Lectures, computer-based exercises, and practical activities
- Other information
- More informatio at https://dsa3.unipg.it/it/
- Learning verification modality
- Final written exam with multiple-choice and open-ended questions
- Extended program
- Introduction to the Use of Sensors in Agriculture Application of Sensors in Agriculture Sensors: types and operating principles, installation, positioning, programming, and management • Soil sensors • Plant sensors • Microclimatic sensors • Sensors for monitoring irrigation networks and water resources for agriculture • Contact/proximal sensors Data Processing • Data post-processing • Data preparation (filtering) • Mapping (interpolation, clustering) • Real-time data processing, interpretation, and management Data Acquisition and Communication • Digitization • Data acquisition systems • Calibration Lectures are complemented by examples, practical work, and technical visits. Technical visits will showcase operational sensor systems. Practical work will provide participants with hands-on experience in sensor installation, use, and data collection, as well as in data analysis, processing, and mapping.
- Obiettivi Agenda 2030 per lo sviluppo sostenibile
- 12, 13