Gennaro PERCANNELLA | PRECISION FARMING

cod. 0722200013

PRECISION FARMING

	0722200013
	DIPARTIMENTO DI FARMACIA
	EQF7
	INNOVAZIONI PER LE PRODUZIONI AGRARIE MEDITERRANEE
	2020/2021

PERCORSO COMUNE

	OBBLIGATORIO
	YEAR OF COURSE 2
	YEAR OF DIDACTIC SYSTEM 2019
	SECONDO SEMESTRE

TEACHING UNITS

	SSD	CFU	HOURS	ACTIVITY	TYPE OF ACTIVITY
1	SISTEMI INFORMATICI DI SUPPORTO, ACQUISIZIONE DATI E MONITORAGGIO DEI SISTEMI AGRICOLI MODULO DI TECNOLOGIE DIGITALI IN AGRICOLTURA DI PRECISIONE
	INF/01	3	21	LESSONS	COMPULSORY SUBJECTS, CHARACTERISTIC OF THE CLASS
2	SISTEMI INFORMATICI E APPLICAZIONI IN AGRICOLTURA DIGITALE MODULO DI TECNOLOGIE DIGITALI IN AGRICOLTURA DI PRECISIONE
	ING-INF/05	6	42	LESSONS	COMPULSORY SUBJECTS, CHARACTERISTIC OF THE CLASS

PROFESSORS

	GENNARO PERCANNELLA2 T Curriculum
	GIUSEPPE D'ANIELLO1 Curriculum

	Objectives
	The course provides basic knowledge about the main technologies for land monitoring and production control in agriculture, such as Geographic Information Systems (GIS), Remote Sensing, Unmanned Aerial Vehicles (drones), Sensor Networks for agriculture. Also, the course introduces information systems supporting production and logistics. the course prepares to the evaluation and choice of available technologies for land monitoring and production control. The course also prepares to the choice and the use of information systems supporting production and logistics. The main knowledge that will be acquired by the students are: -Basic concepts about GIS, remote sensing, UAV and sensors technologies for Agriculture - Knowledge about to image analysis and regulation for UAV - Main characteristics about sensors, data logger, GPS receiver, UAV and GIS software platforms Basic knowledge about computer system architecture -Computer networks; -Foundation of Database management systems and remote sensing image processing The main skills will be: -analyze the status of crops on the basis of data provided by sensors, remote sensing data, and data acquired through UAVs -identify: the types of sensors and / or data loggers to be used for the acquisition of field data, GPS receivers for tracking the movement of agricultural vehicles -evaluate: maximum sizing of DBMS for data storage, communication networks for the construction of the sensor network, -use: GIS software, visualization software and simple processing with predefined filters of remote sensing images, data loggers, flight planning software for a UAV,

The course provides basic knowledge about the main technologies for land monitoring and production control in agriculture, such as Geographic Information Systems (GIS), Remote Sensing, Unmanned Aerial Vehicles (drones), Sensor Networks for agriculture. Also, the course introduces information systems supporting production and logistics. the course prepares to the evaluation and choice of available technologies for land monitoring and production control. The course also prepares to the choice and the use of information systems supporting production and logistics.
The main knowledge that will be acquired by the students are:
-Basic concepts about GIS, remote sensing, UAV and sensors technologies for Agriculture
- Knowledge about to image analysis and regulation for UAV
- Main characteristics about sensors, data logger, GPS receiver, UAV and GIS software platforms
Basic knowledge about computer system architecture
-Computer networks;
-Foundation of Database management systems and remote sensing image processing
The main skills will be:
-analyze the status of crops on the basis of data provided by sensors, remote sensing data, and data acquired through UAVs
-identify: the types of sensors and / or data loggers to be used for the acquisition of field data, GPS receivers for tracking the movement of agricultural vehicles
-evaluate: maximum sizing of DBMS for data storage, communication networks for the construction of the sensor network,
-use: GIS software, visualization software and simple processing with predefined filters of remote sensing images, data loggers, flight planning software for a UAV,

	Prerequisites
	In order to understand and be able to apply knowledge most topics covered in the course, it is required to have passed the compulsory exams of Physics and Computer Science.

	Contents
	Geographic Information Systems (GIS) •Introduction to Database Management Systems (DBMS) for agricultural applications •Introduction to GIS: mapping systems and sistemi di mappatura and georeferencing problems; background and layers; entities and attributes •Global positioning system (GPS); configuration and use of GPS receivers for farm machine •Import in GIS of the GPS paths of farm machines •Information system for production and logistics in agriculture Remote sensing •sensors and platforms for multispectral data acquisition •physical principles of optical acquisition and spectroscopic processing in the visible and infrared fields •basic processing and interpretation of remote sensing images Unmanned Aerial Vehicles (UAV) •UAV with propellers and fixed wing •Components of a UAV •Flight planning •National regulations for aeronautical circulation (ENAC) •Multispectral cameras for UAV Sensor networks for agriculture •Sensors and actuators for agriculture •Microcontrollers and data loggers •Communication protocols for sensor •Software tools for the configuration and the management of sensor networks

Contents

Geographic Information Systems (GIS)
•Introduction to Database Management Systems (DBMS) for agricultural applications
•Introduction to GIS: mapping systems and sistemi di mappatura and georeferencing problems; background and layers; entities and attributes
•Global positioning system (GPS); configuration and use of GPS receivers for farm machine
•Import in GIS of the GPS paths of farm machines
•Information system for production and logistics in agriculture

Remote sensing
•sensors and platforms for multispectral data acquisition
•physical principles of optical acquisition and spectroscopic processing in the visible and infrared fields
•basic processing and interpretation of remote sensing images

Unmanned Aerial Vehicles (UAV)
•UAV with propellers and fixed wing
•Components of a UAV
•Flight planning
•National regulations for aeronautical circulation (ENAC)
•Multispectral cameras for UAV

Sensor networks for agriculture
•Sensors and actuators for agriculture
•Microcontrollers and data loggers
•Communication protocols for sensor
•Software tools for the configuration and the management of sensor networks

	Teaching Methods
	The course includes 42 hours of lectures and exercises (6 CFU). In particular, 21 hours of lessons (3 CFU) and 21 hours of exercises (3 CFU) are scheduled. The course is organized as follows: -classroom lessons on all course topics -classroom exercises on the following topics: ouse of GIS ovisualization and basic processing of remote sensing images ouse of a UAV flight planning software oconfiguration of a datalogger, data import and tabula/graphical data visualization Modality The exercises will be organized in the laboratory, if available, or directly in the classroom; Students will be organized in groups of 3/4 people and using the PCs available in the lab or their own laptops will develop the proposed exercises under the supervision of the teacher.

Teaching Methods

The course includes 42 hours of lectures and exercises (6 CFU). In particular, 21 hours of lessons (3 CFU) and 21 hours of exercises (3 CFU) are scheduled.
The course is organized as follows:
-classroom lessons on all course topics
-classroom exercises on the following topics:
ouse of GIS
ovisualization and basic processing of remote sensing images
ouse of a UAV flight planning software
oconfiguration of a datalogger, data import and tabula/graphical data visualization

Modality
The exercises will be organized in the laboratory, if available, or directly in the classroom; Students will be organized in groups of 3/4 people and using the PCs available in the lab or their own laptops will develop the proposed exercises under the supervision of the teacher.

	Verification of learning
	THE ACHIEVEMENT OF THE COURSE OBJECTIVES IS CERTIFIED BY PASSING AN EXAM WITH EVALUATION IN THIRTIETHS AND IS CONSIDERED PASSED WITH THE MINIMUM MARK OF 18/30. THE EXAM INCLUDES AN ORAL EXAM THAT TAKES PLACE ON A PRESCHEDULED DAY. THE ORAL EXAM INCLUDES THE PRESENTATION OF A TECHNICAL PROJECT PRODUCED BY THE STUDENT INDEPENDENTLY OR IN GROUPS ON A TOPIC INDICATED BY THE TEACHER. THE TEST IS EVALUATED IN THIRTIETHS AND IS CONSIDERED PASSED WITH THE MINIMUM MARK OF 18/30. THE ORAL EXAM CONSISTS OF A DISCUSSION LASTING ABOUT 20 MINUTES AIMED AT ASSESSING THE LEVEL OF KNOWLEDGE AND UNDERSTANDING ACHIEVED BY THE STUDENT ON ALL THE CONTENTS OF THE PROGRAM. THE ORAL TEST WILL ALSO ALLOW TO ASSESS THE STUDENT'S COMMUNICATION SKILLS AND AUTONOMOUS ORGANIZATION OF THE EXPOSITION ON THE TOPICS WITH A THEORETICAL CONTENT. TO COMPLETE THE ORAL EXAM THE DISCUSSION OF THE DURATION OF ABOUT 10 MINUTES OF A TECHNICAL PROJECT PRODUCED BY THE STUDENT AUTONOMOUSLY OR IN A GROUP ON A CASE STUDY PROPOSED BY THE TEACHER. THE DISCUSSION WILL ILLUSTRATE THE PROBLEMS POSED BY THE ASSIGNED CASE, THE POSSIBLE PROJECT ALTERNATIVES, THE POSSIBLE REGULATORY CONTEXT, THE METHODOLOGICAL APPROACH ADOPTED, THE ANALYSIS OF THE RESULTS OBTAINED. DURING THE DISCUSSION THE STUDENT CAN USE SLIDES AND ON REQUEST BY THE MEMBERS OF THE EXAMINATION COMMITTEE SHOULD BE READY TO PROVIDE THEORETICAL INSIGHTS AND DETAILED CLARIFICATIONS. THE EXAM ALLOWS TO ASSESS BOTH THE CAPACITY FOR KNOWLEDGE AND UNDERSTANDING, AND THE ABILITY TO APPLY THE ACQUIRED KNOWLEDGE, THE PRESENTATION ABILITY, AND THE ABILITY TO LEARN AND INDEPENDENTLY DEVELOP SOLUTIONS.

Verification of learning

THE ACHIEVEMENT OF THE COURSE OBJECTIVES IS CERTIFIED BY PASSING AN EXAM WITH EVALUATION IN THIRTIETHS AND IS CONSIDERED PASSED WITH THE MINIMUM MARK OF 18/30. THE EXAM INCLUDES AN ORAL EXAM THAT TAKES PLACE ON A PRESCHEDULED DAY. THE ORAL EXAM INCLUDES THE PRESENTATION OF A TECHNICAL PROJECT PRODUCED BY THE STUDENT INDEPENDENTLY OR IN GROUPS ON A TOPIC INDICATED BY THE TEACHER. THE TEST IS EVALUATED IN THIRTIETHS AND IS CONSIDERED PASSED WITH THE MINIMUM MARK OF 18/30.
THE ORAL EXAM CONSISTS OF A DISCUSSION LASTING ABOUT 20 MINUTES AIMED AT ASSESSING THE LEVEL OF KNOWLEDGE AND UNDERSTANDING ACHIEVED BY THE STUDENT ON ALL THE CONTENTS OF THE PROGRAM. THE ORAL TEST WILL ALSO ALLOW TO ASSESS THE STUDENT'S COMMUNICATION SKILLS AND AUTONOMOUS ORGANIZATION OF THE EXPOSITION ON THE TOPICS WITH A THEORETICAL CONTENT.
TO COMPLETE THE ORAL EXAM THE DISCUSSION OF THE DURATION OF ABOUT 10 MINUTES OF A TECHNICAL PROJECT PRODUCED BY THE STUDENT AUTONOMOUSLY OR IN A GROUP ON A CASE STUDY PROPOSED BY THE TEACHER. THE DISCUSSION WILL ILLUSTRATE THE PROBLEMS POSED BY THE ASSIGNED CASE, THE POSSIBLE PROJECT ALTERNATIVES, THE POSSIBLE REGULATORY CONTEXT, THE METHODOLOGICAL APPROACH ADOPTED, THE ANALYSIS OF THE RESULTS OBTAINED. DURING THE DISCUSSION THE STUDENT CAN USE SLIDES AND ON REQUEST BY THE MEMBERS OF THE EXAMINATION COMMITTEE SHOULD BE READY TO PROVIDE THEORETICAL INSIGHTS AND DETAILED CLARIFICATIONS.
THE EXAM ALLOWS TO ASSESS BOTH THE CAPACITY FOR KNOWLEDGE AND UNDERSTANDING, AND THE ABILITY TO APPLY THE ACQUIRED KNOWLEDGE, THE PRESENTATION ABILITY, AND THE ABILITY TO LEARN AND INDEPENDENTLY DEVELOP SOLUTIONS.

	Texts
	Slides, scientific articles and other supplementary readings will be available at the instructor's webpage.

BETA VERSION Data source ESSE3 [Ultima Sincronizzazione: 2022-05-23]

Gennaro PERCANNELLA | PRECISION FARMING