The aim of the course is to present, describe and teach how to use the most important and already available mechatronic technologies in the field of Agritech engineering and precision agriculture. The course will start from basic building technologies (sensors, actuators, platforms) with the necessary analysis and simulation techniques, moving then to complete platforms related with the use of vehicles, implement systems and autonomous robots (rover and drones). The course also deals with issues relating to drone legislation in force and risk assessment methodologies, two essential topics for carrying out drone safe operations. Specifically, students will acquire the following knowledge: • Notions on drone legislation in force in Italy and Europe • Classification of flight operations concerning the operating environment and the types of drones • Notions about the authorization process and operator certifications • Risk assessment using the SORA (Specific Operations Risk Assessment) methodology • Risk assessment using probabilistic methodologies and their application in the authorization process

Become familiar with sensing technologies used in agritech engineering Become familiar with platforms (vehicles, implement systems, autonomous robots) Design possible sensing architectures to be used on vehicles/robots Simulate possible vehicles/robots agricultural use scenarios Became familiar with real hardware, sensors, vehicles and robots

Physics: power and energy, basic electromagnetics. Mathematics: algebra of complex numbers, linear algebra and matrix analysis, algebraic linear systems, first-order linear differential equations, basis of Laplace transform. Electronics: basic electronics, circuits, signal analysis

Mechatronics systems (4CFU) Vehicles/Robots safe operations, risk assessment, rick analysis (2CFU)

The course includes 2/3 experimental laboratories (2 CFU) to be performed at the LED laboratories. The labs are organized in groups of 3/4 students. For each lab, groups must prepare reports that will be evaluated and will contribute to the final score.

Under construction

Slides; Esercitazioni di laboratorio; Video lezioni dell’anno corrente; Materiale multimediale ; Strumenti di simulazione;

Modalità di esame: Prova scritta (in aula); Prova orale facoltativa; Elaborato progettuale in gruppo;

Exam: Written test; Optional oral exam; Group project;

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Gli studenti e le studentesse con disabilità o con Disturbi Specifici di Apprendimento (DSA), oltre alla segnalazione tramite procedura informatizzata, sono invitati a comunicare anche direttamente al/la docente titolare dell'insegnamento, con un preavviso non inferiore ad una settimana dall'avvio della sessione d'esame, gli strumenti compensativi concordati con l'Unità Special Needs, al fine di permettere al/la docente la declinazione più idonea in riferimento alla specifica tipologia di esame.