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Home Course catalogue Second cycle degree Digital Management of Agriculture and Mountain Areas LM69 General Info

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General Info

SUBJECTSEMESTERCFUSSDLANGUAGE
120798 - AGRICULTURAL ECONOMICS AND POLICY - 10- -

Learning objectives

Knowledge and understanding
The student will acquire knowledge regarding management and adaptation strategies sustainable from an economic point of view in different scenarios with particular reference to climate change and agricultural policy.
Applying knowledge and understanding
The skills acquired will allow the student to be able to reconstruct the technical-productive and economic sheets of the cultivation and breeding activities, identify possible future scenarios for farms and analyse investments.
Making judgements
The skills and knowledge acquired will allow the student to be able to select sustainable choices from an economic point of view for farms.
Communication skills
The knowledge acquired will allow the student an adequate ability to communicate effectively with other stakeholders and to collaborate with professionals in the sector regarding management and investments analysis.
Learning skills
The skills acquired will allow the student to learn autonomously, and to be able to carry out processing and analysis based on the specific case studies with which he will have to deal in his professional life regarding management and investments analysis.

MODULE IIFirst Semester5AGR/01ENG

Learning objectives

Knowledge and understanding
The course aims to develop knowledge and critical understanding of agricultural policy and the functioning of agri-food markets. Specifically, it focuses on:
a) the economic processes shaping national and international agri-food markets and the structural evolution of the agri-food system;
b) the role of European Union Agricultural Policies in managing agricultural markets, promoting environmental sustainability, influencing the economic performance and decisions of farms, and supporting rural development.
Applying knowledge and understanding
The knowledge and analytical skills acquired will be applied to the real economic contexts in which graduates will operate.
Making judgements
The objective is to enable students to develop independent judgment on issues related to the economic sustainability of agricultural sectors, production activities within the agri-food system, and agri-food market dynamics.
Communication skills
The course also aims to strengthen communication skills necessary for professional activities related to the implementation of agricultural and rural development policies and the functioning of agri-food markets.
Learning skills
It seeks to foster a continuous learning capacity, allowing graduates to adapt to the ongoing evolution of agricultural and rural development policies as well as market conditions.

MODULE IIFirst Semester5AGR/01ENG

Learning objectives

Knowledge and understanding
The student will acquire knowledge regarding management and adaptation strategies sustainable from an economic point of view in different scenarios with particular reference to climate change and agricultural policy.
Applying knowledge and understanding
The skills acquired will allow the student to be able to reconstruct the technical-productive and economic sheets of the cultivation and breeding activities, identify possible future scenarios for farms and analyse investments.
Making judgements
The skills and knowledge acquired will allow the student to be able to select sustainable choices from an economic point of view for farms.
Communication skills
The knowledge acquired will allow the student an adequate ability to communicate effectively with other stakeholders and to collaborate with professionals in the sector regarding management and investments analysis.
Learning skills
The skills acquired will allow the student to learn autonomously, and to be able to carry out processing and analysis based on the specific case studies with which he will have to deal in his professional life regarding management and investments analysis.

120692 - LAND SURVEY AND MAPPING - 10- -

Learning objectives

Knowledge and Understanding
The course aims to provide students with the necessary knowledge to carry out a topographic survey using the most modern techniques: GPS/GNSS and Remotely Piloted Aircraft Systems (RPAS). The goal is to enable the acquisition of precise knowledge regarding both aerial and terrestrial unmanned surveying systems, applicable to individual and environmental surveying in the field of animal husbandry. Additionally, the course aims to ensure knowledge of the subject from the perspective of usage methods and directly applicable applications. Specifically, the satellite constellation, control systems, and ground user segments will be analyzed. The course will also cover the digital processing and representation of data acquired through surveying activities, with an in-depth focus on the software and processing techniques involved.
Applied Knowledge and Understanding
The course intends to help students acquire the knowledge and skills needed to implement and utilize aerial and terrestrial unmanned surveying systems in the agricultural sector and mountainous terrain. These systems have various applications, including individual and environmental surveying in animal husbandry. Additionally, the course aims to promote the use of GIS tools and the application of global satellite positioning systems, satellite remote sensing, and the main types of ground receivers.
Autonomy in Judgment
The course also aims to ensure that students understand digital technologies and can apply them in various contexts, including business and regional levels, with particular reference to mountainous areas. It also fosters the acquisition of the necessary skills to communicate relevant information to other engineering professionals working in the field, aiding in the design of technologies related to surveying systems. This includes promoting the development of independent judgment through the cultivation of critical skills aimed at identifying technical and scientific issues related to the subject, evaluating complex surveying projects and flight plans, conducting bibliographic research on scientific, regulatory, and technical sources, and delving into social, professional, and ethical considerations associated with surveying activities. The course will thus address aspects related to the knowledge and use of surveying with RPAS (Remotely Piloted Aircraft Systems), focusing particularly on the regulatory framework, types of RPAS, and the planning of photogrammetric flights.
Communication Skills
The course also aims to enable students to develop specific skills through educational activities to ensure an adequate level of communication regarding ideas, problems, and solutions related to the technical and scientific training pertinent to digital surveying issues.
Learning Skills
The course is also designed to help students develop the technological skills needed to ensure continuous updating of knowledge relevant to their professional or scientific activities. This involves consulting regulatory, legislative, technological, digital, methodological, and experimental innovation sources related to current surveying systems. After revisiting the basic concepts of topographic surveying, students will be provided with the necessary knowledge to ensure the correct use of the global positioning system, fostering an understanding of geostatistics, global satellite positioning systems, satellite remote sensing, and the main types of ground receivers.

MODULE IIFirst Semester5AGR/10ENG

Learning objectives

Knowledge and Understanding
The course aims to provide students with the necessary knowledge to carry out a topographic survey using the most modern techniques: GPS/GNSS and Remotely Piloted Aircraft Systems (RPAS). The goal is to enable the acquisition of precise knowledge regarding both aerial and terrestrial unmanned surveying systems, applicable to individual and environmental surveying in the field of animal husbandry. Additionally, the course aims to ensure knowledge of the subject from the perspective of usage methods and directly applicable applications. Specifically, the satellite constellation, control systems, and ground user segments will be analyzed. The course will also cover the digital processing and representation of data acquired through surveying activities, with an in-depth focus on the software and processing techniques involved.
Applied Knowledge and Understanding
The course intends to help students acquire the knowledge and skills needed to implement and utilize aerial and terrestrial unmanned surveying systems in the agricultural sector and mountainous terrain. These systems have various applications, including individual and environmental surveying in animal husbandry. Additionally, the course aims to promote the use of GIS tools and the application of global satellite positioning systems, satellite remote sensing, and the main types of ground receivers.
Autonomy in Judgment
The course also aims to ensure that students understand digital technologies and can apply them in various contexts, including business and regional levels, with particular reference to mountainous areas. It also fosters the acquisition of the necessary skills to communicate relevant information to other engineering professionals working in the field, aiding in the design of technologies related to surveying systems. This includes promoting the development of independent judgment through the cultivation of critical skills aimed at identifying technical and scientific issues related to the subject, evaluating complex surveying projects and flight plans, conducting bibliographic research on scientific, regulatory, and technical sources, and delving into social, professional, and ethical considerations associated with surveying activities. The course will thus address aspects related to the knowledge and use of surveying with RPAS (Remotely Piloted Aircraft Systems), focusing particularly on the regulatory framework, types of RPAS, and the planning of photogrammetric flights.
Communication Skills
The course also aims to enable students to develop specific skills through educational activities to ensure an adequate level of communication regarding ideas, problems, and solutions related to the technical and scientific training pertinent to digital surveying issues.
Learning Skills
The course is also designed to help students develop the technological skills needed to ensure continuous updating of knowledge relevant to their professional or scientific activities. This involves consulting regulatory, legislative, technological, digital, methodological, and experimental innovation sources related to current surveying systems. After revisiting the basic concepts of topographic surveying, students will be provided with the necessary knowledge to ensure the correct use of the global positioning system, fostering an understanding of geostatistics, global satellite positioning systems, satellite remote sensing, and the main types of ground receivers.

MODULE IIFirst Semester5AGR/10ENG

Learning objectives

Knowledge and understanding
Students will acquire advanced skills in the use of remotely sensed data for the analysis and monitoring of processes affecting agro-forestry and mountain territories, developing a flexible perspective capable of operating from field to regional scale. The course provides comprehensive training across the entire workflow: from the acquisition and management of remotely sensed and georeferenced data, to their processing through geospatial and geostatistical analysis techniques, and finally to the production of derived datasets for the assessment and representation of territorial phenomena. The main data sources (e.g. Copernicus, National Geoportal, ISTAT databases, and regional geoportals) will also be presented, together with methods for integrating them with information obtained from monitoring activities and spatial analyses.
Applying knowledge and understanding
By the end of the course, students will be familiar with the fundamental concepts of cartography, digital cartographic representation, and remote sensing. They will be able to produce thematic maps of territorial elements, carry out spatial analyses of various phenomena, and develop a complete cartographic project. Students will acquire solid skills in the use of GIS software and in the application of remotely sensed imagery for territorial analyses. In addition, they will gain basic competence in using cloud computing platforms for the processing and management of remotely sensed data.
Making judgements
The course fosters the development of critical judgment and analytical autonomy at the territorial scale, with particular focus on the assessment of agro-forestry and environmental processes. Students will be able to propose technically and contextually appropriate solutions based on the informed use of geospatial and remotely sensed data.
Communication skills
Students will be required to produce an exam project that integrates the knowledge they have acquired and demonstrates their ability to apply it. The activity, carried out partly individually and partly in groups, will promote the development of communication skills, teamwork, and autonomy in their work.
Learning skills
Students will have the opportunity to develop their learning skills through active participation and the analysis of specific case studies presented during the course. They will be able to identify the most effective methods for acquiring and updating information, critically select and use the most relevant sources, apply the most appropriate methodologies for data processing, and independently assess their own level of learning.

120694 - STATISTICAL ANALYSIS OF ENVIRONMENTAL DATA

First Semester 5SECS-S/02ENG

Learning objectives

Learning Objectives
The course aims to provide students with the main statistical and quantitative methods for performing data analysis through the introduction of measures, models, and techniques of descriptive and inferential statistics. In particular, concepts of descriptive statistics will enable students to carry out basic exploratory analyses, while concepts of inferential statistics will provide the methodological foundation for performing analyses under conditions of uncertainty. By applying the knowledge acquired during the course, students will be able to conduct exploratory data analyses and apply the main statistical processing techniques to data describing real-world phenomena.
Knowledge and understanding
By the end of the course, students will have acquired specific knowledge of statistical analysis methodologies for observing, describing, analyzing, and interpreting real phenomena using the basic tools of statistics. The purpose of the course is to provide students with the methodological knowledge required to perform univariate and bivariate descriptive analyses, as well as inferential analyses under uncertainty.
Applying knowledge and understanding
By the end of the course, students will have developed a solid methodological foundation and analytical skills. They will be able to independently carry out empirical data analyses, assess the results, evaluate the adequacy of the applied methodology, and identify its potential limitations.
Making judgments
The course is designed to foster a critical approach to the use of different statistical techniques for the interpretation of real-world phenomena. Students will develop the ability to critically evaluate and select appropriate statistical methods according to the specific objectives of their analysis.
Communication skills
Throughout the course, students will acquire the necessary skills to effectively communicate statistical methodologies (both descriptive and inferential) applied to real phenomena. This involves not only understanding and applying these methodologies but also clearly communicating them to others — explaining the analytical techniques used, interpreting the results meaningfully, and presenting them clearly and comprehensibly to ensure effective communication of conclusions derived from data analysis.
Learning skills
The teaching methods used in the course include continuous assessment of students’ learning progress. This approach is intended to enhance students’ autonomy in judgment and self-learning abilities, encouraging them to develop critical evaluation skills and greater independence in applying statistical reasoning.

120707 - SOFT SKILLS

First Semester 5ENG

Learning objectives

Learning objectives
The course provides students with the basic tools to enter the international world of work, exploring various perspectives on human and professional interaction.
Knowledge and Understanding
The aim is to engage students by providing them with insights into how certain skills can be studied and developed to achieve better technical results.
Applied Knowledge and Understanding
The focus is on every possible work situation, from expressing a concept to others, through preparing a social media profile or CV, to conducting an interview, and even managing group interviews and giving a short presentation.
Making Judgments, Communication Skills, Learning Skills
Stress and teamwork management will be practiced with examples and business cases, which will then be applied to their future careers. All this while focusing on human skills that are sometimes overlooked, but which, when practiced, can provide essential support to students in the workplace.

120693 - APPLIED SOIL SCIENCE - 10- -

Learning objectives

Learning objectives
Providing the knowledge required to understand the characteristics and spatial variability of soils, also using proximal soil sensors and digital soil mapping techniques, for proper site-specific soil management in agriculture and agro-ecosystem.
Knowledge and ability to understand
the student shall demonstrate to have understood the main aspects of soil mapping and monitoring, namely: (i) the main chemical, physical and hydrological characteristics of soils; (ii) the principles of soil mapping, especially digital mapping, using methods of data spatialization and clustering of homogeneous units through GIS software.
Applying knowledge and understanding
The student will be able to use the acquired knowledge to i) describe the main characteristics of a soil, understanding the links between environmental characteristics and the chemical-physical and hydrological ones; ii) apply proximal soil sensing techniques using sensors and carry out the spatialization of soil data; iii) be able to identify any problems or risks related to soil functionality and circumscribe them.
Making judgement
the student must know how to set up a soil survey and a description of a soil profile or soil borehole, as well as interpret a soil map or a soil description and analysis. They must also know how to interpret data obtained from proximal geophysical sensors, how to spatialize the data in the plot of interest and understand which soil characteristics are associated with the variability of these data.
Communication skills
The students should have the ability to explain in a simple and comprehensive manner the knowledge acquired, trying to connect the basic notions to the more complex topics related to soil mapping and applications of pedology.
Learning ability
The students will have to refer to the teaching program and to the lesson plan of the course, deepening the various topics addressed through the handouts provided by the lecturer, the consultation of recommended texts and publications of national and international relevance.

MODULE IIFirst Semester5AGR/13ENG

Learning objectives

Learning objectives
The course defines the concept of soil quality in natural ecosystems. It provides a description and classification of soil quality indicators (chemical, physical, and biological) for a critical and integrated assessment of soil health. The course defines the concept of soil degradation, analyzing its main issues, including erosion, desertification, salinization, acidification, and heavy metal contamination. Finally, it examines remediation techniques aimed at restoring soil quality for sustainable land management.
Knowledge and ability to understand
The course aims to develop students’ knowledge and understanding related to soil quality monitoring. It explores the main analytical techniques and assessment methods for the physical, chemical, and biological parameters that determine soil health. A key aspect is understanding the limits of application and interpretation of various quality indicators in relation to the pedological characteristics and environmental conditions of the study area. The course also provides comprehensive knowledge of soil nutrient dynamics (nitrogen, phosphorus, and sulfur cycles) and the organic matter cycle. Furthermore, it examines the effects of major pollutants, such as heavy metals, the environmental issues associated with their presence in soils, and the main remediation and restoration strategies to recover soil quality.
Applying knowledge and understanding
The course enables the application of knowledge by developing practical laboratory skills and the ability to derive information from laboratory activities to support and integrate theoretical lessons.
Making judgement
The course fosters the development of students’ autonomy in assessing soil quality. This is achieved through understanding the fundamental chemical and physical characteristics of soil, as well as the natural and anthropogenic factors that have caused imbalances in these characteristics, leading to soil degradation and quality loss.
Communication skills
The course provides the ability to present acquired knowledge using appropriate language and technical terms.
Learning ability
To improve their learning abilities, it is essential for students to attend lessons and independently utilize the provided materials. This approach supports continuous knowledge updating, allowing students to identify the most effective strategies for gathering information. Furthermore, it is crucial to develop the ability to independently update one's knowledge by conducting keyword searches and consulting texts, bibliographic databases, and significant scientific publications at both national and international levels.

120693 - APPLIED SOIL SCIENCE - 10- -

Learning objectives

Learning objectives
Providing the knowledge required to understand the characteristics and spatial variability of soils, also using proximal soil sensors and digital soil mapping techniques, for proper site-specific soil management in agriculture and agro-ecosystem.
Knowledge and ability to understand
the student shall demonstrate to have understood the main aspects of soil mapping and monitoring, namely: (i) the main chemical, physical and hydrological characteristics of soils; (ii) the principles of soil mapping, especially digital mapping, using methods of data spatialization and clustering of homogeneous units through GIS software.
Applying knowledge and understanding
The student will be able to use the acquired knowledge to i) describe the main characteristics of a soil, understanding the links between environmental characteristics and the chemical-physical and hydrological ones; ii) apply proximal soil sensing techniques using sensors and carry out the spatialization of soil data; iii) be able to identify any problems or risks related to soil functionality and circumscribe them.
Making judgement
the student must know how to set up a soil survey and a description of a soil profile or soil borehole, as well as interpret a soil map or a soil description and analysis. They must also know how to interpret data obtained from proximal geophysical sensors, how to spatialize the data in the plot of interest and understand which soil characteristics are associated with the variability of these data.
Communication skills
The students should have the ability to explain in a simple and comprehensive manner the knowledge acquired, trying to connect the basic notions to the more complex topics related to soil mapping and applications of pedology.
Learning ability
The students will have to refer to the teaching program and to the lesson plan of the course, deepening the various topics addressed through the handouts provided by the lecturer, the consultation of recommended texts and publications of national and international relevance.

MODULE IIFirst Semester5AGR/14ENG

Learning objectives

Learning objectives
Providing the knowledge required to understand the characteristics and spatial variability of soils, also using proximal soil sensors and digital soil mapping techniques, for proper site-specific soil management in agriculture and agro-ecosystem.
Knowledge and ability to understand
the student shall demonstrate to have understood the main aspects of soil mapping and monitoring, namely: (i) the main chemical, physical and hydrological characteristics of soils; (ii) the principles of soil mapping, especially digital mapping, using methods of data spatialization and clustering of homogeneous units through GIS software.
Applying knowledge and understanding
The student will be able to use the acquired knowledge to i) describe the main characteristics of a soil, understanding the links between environmental characteristics and the chemical-physical and hydrological ones; ii) apply proximal soil sensing techniques using sensors and carry out the spatialization of soil data; iii) be able to identify any problems or risks related to soil functionality and circumscribe them.
Making judgement
the student must know how to set up a soil survey and a description of a soil profile or soil borehole, as well as interpret a soil map or a soil description and analysis. They must also know how to interpret data obtained from proximal geophysical sensors, how to spatialize the data in the plot of interest and understand which soil characteristics are associated with the variability of these data.
Communication skills
The students should have the ability to explain in a simple and comprehensive manner the knowledge acquired, trying to connect the basic notions to the more complex topics related to soil mapping and applications of pedology.
Learning ability
The students will have to refer to the teaching program and to the lesson plan of the course, deepening the various topics addressed through the handouts provided by the lecturer, the consultation of recommended texts and publications of national and international relevance.

120709 - WATER AND ENERGY RESOURCES MANAGEMENT - 10- -

Learning objectives

Knowledge and understanding
The course provides knowledge on the main energy resources available in mountain areas, with a focus on forest and agricultural biomass, agro-industrial residues, and renewable sources such as solar, small-scale wind, and mini-hydropower. Energy conversion technologies are addressed, ranging from biomass systems (combustion, pyrolysis, gasification, pellet and woodchip boilers and plants, anaerobic digestion) to other renewable solutions.
Applying knowledge and understanding
Students will be able to assess the availability of local resources, analyze the technical feasibility of different technologies, and propose suitable logistical solutions for mountain contexts. They will also learn to apply quality criteria and certification standards for biomass and pellets according to European regulations.
Making judgements
By the end of the course, students will have developed the ability to critically compare different energy sources and technologies, identifying advantages, limitations, and challenges of the solutions applicable in mountain environments.
Communication skills
Students will be able to clearly and effectively communicate the results of their analyses, both orally and through technical reports and data sheets, using appropriate technical terminology.
Learning skills
The course provides students with the tools and methods needed to independently update their knowledge on regulations, certification standards, and technological innovations in the field of renewable energy sources in mountain areas.

MODULE IIFirst Semester5AGR/08ENG

Learning objectives

Knowledge and Understanding
The course in Bio-Engineering aims to provide a solid foundation of theoretical and practical knowledge on the principles, techniques, and materials used in the design and implementation of soil and environmental stabilization works. Students will acquire competencies in ecology, geotechnics, hydraulics, and applied botany, gaining an understanding of the relationships between the natural environment and engineering works. Particular attention will be devoted to understanding natural processes and how engineering solutions can be integrated with them to ensure the environmental and landscape sustainability of interventions.
Applying Knowledge and Understanding
Students will be able to apply the knowledge acquired to the design of naturalistic engineering works, assessing geomorphological, hydrological, and vegetational site conditions. They will learn to select the most appropriate techniques and materials according to stabilization, consolidation, and environmental restoration goals, integrating technical efficiency with ecological compatibility. Through practical exercises, case studies, and field activities, students will develop the ability to translate theoretical principles into concrete operational solutions.
Making Judgments
The course fosters the ability to critically analyze environmental and territorial issues, developing a multidisciplinary approach focused on sustainability. Students will be able to independently evaluate design alternatives, identifying risks, benefits, and environmental impacts of proposed solutions. The course will also encourage the development of conscious and responsible decision-making skills based on scientific data and technical-economic criteria, in compliance with current regulations and environmental protection principles.
Communication Skills
Students will develop effective communication skills to present and discuss naturalistic engineering projects in technical and interdisciplinary contexts. They will learn to draft clear and coherent technical reports, graphical documents, and project materials using appropriate technical language.
Moreover, they will be able to interact with professionals from various fields — engineers, agronomists, architects, administrators, and citizens — promoting dialogue and participation in territorial planning and decision-making processes.
Learning Skills
The course aims to foster a continuous learning attitude, essential for addressing the evolving challenges of environmental and naturalistic engineering. Students will acquire methods for independent study, the ability to stay updated on new technologies and regulations, and the capacity to critically deepen their understanding of scientific innovations in the field. They will thus be prepared to continue their studies at an advanced level or to enter the professional world with a proactive approach focused on sustainable solutions.

MODULE IIFirst Semester5AGR/09ENG

Learning objectives

Knowledge and understanding
The course provides knowledge on the main energy resources available in mountain areas, with a focus on forest and agricultural biomass, agro-industrial residues, and renewable sources such as solar, small-scale wind, and mini-hydropower. Energy conversion technologies are addressed, ranging from biomass systems (combustion, pyrolysis, gasification, pellet and woodchip boilers and plants, anaerobic digestion) to other renewable solutions.
Applying knowledge and understanding
Students will be able to assess the availability of local resources, analyze the technical feasibility of different technologies, and propose suitable logistical solutions for mountain contexts. They will also learn to apply quality criteria and certification standards for biomass and pellets according to European regulations.
Making judgements
By the end of the course, students will have developed the ability to critically compare different energy sources and technologies, identifying advantages, limitations, and challenges of the solutions applicable in mountain environments.
Communication skills
Students will be able to clearly and effectively communicate the results of their analyses, both orally and through technical reports and data sheets, using appropriate technical terminology.
Learning skills
The course provides students with the tools and methods needed to independently update their knowledge on regulations, certification standards, and technological innovations in the field of renewable energy sources in mountain areas.

120696 - APPLIED PHYTOPATHOLOGY AND ENTOMOLOGY - 5- -

Learning objectives

Learning objectives
The course aims to provide theoretical and practical foundations for the assessment and monitoring of phytosanitary risks associated with pathogens and insect pests affecting agricultural and forest crops, including those in mountain systems. It covers advanced diagnostic, monitoring and forecasting techniques, as well as innovative and sustainable pest management strategies integrating biological, chemical, and cultural control methods. By the end of the course, students will be able to design and implement effective and sustainable approaches to plant protection using modern technologies.
Knowledge and understanding
Acquire in-depth knowledge of the biological and ecological principles underlying plant–pathogen–insect interactions and understand the theoretical basis of diagnostic tools, monitoring systems, and integrated pest management strategies in sustainable agriculture and forestry.
Applying knowledge and understanding
Apply theoretical and methodological knowledge to diagnose and manage plant health problems in real-world contexts, using advanced technologies for monitoring, forecasting, and phytosanitary risk assessment, with particular attention to mountain agroecosystems.
Making judgements
Develop critical thinking and independent judgement in evaluating alternative plant protection strategies, taking into account ecological, economic, and social implications, and proposing effective and sustainable management solutions.
Communication skills
Use appropriate technical and scientific terminology to effectively communicate concepts, data, and results related to applied phytopathology and entomology. Demonstrate the ability to transfer knowledge and innovations to various stakeholders, including researchers, technicians, farmers, and land managers.
Learning skills
Demonstrate the ability to independently update and expand knowledge, keeping pace with technological, methodological, and regulatory innovations in plant protection and pest management.

MODULE IIFirst Semester2.5AGR/11ENG
MODULE IIFirst Semester2.5AGR/12ENG
120705 - ELECTIVE COURSES

Second Semester 10ENG
SUBJECTSEMESTERCFUSSDLANGUAGE
120710 - PRECISION LIVESTOCK FARMING

First Semester 5AGR/18ENG

Learning objectives

Learning objectives
The teaching provided has the general objective of providing the student with skills on the applications in the livestock sector of the main sensors and tools for precision farming aimed at improving productivity, health and animal welfare and environmental sustainability.

Knowledge and understanding
The student will develop basic and advanced knowledge relating to the possible automation solutions available for the management of animals (ruminants, pigs, poultry), for the control of the microclimate in breeding, for the management of food in breeding and preparation/distribution of the ration, depending on the species bred and the systems for monitoring animal performance and milking automation.

Applying knowledge and understanding
The knowledge acquired will give the student the ability to understand the main critical points related to the management of animals, animal nutrition, and the main digital technological approaches available to improve the production efficiency and sustainability of livestock farming.

Making judgements
The skills and knowledge acquired will allow the student to independently develop their own assessments regarding the resolution of practical problems related to the management of livestock using digital technologies available on the market.

Communication skills
The knowledge acquired by the student will allow him/her to communicate what he/she has learned using appropriate technical and scientific language.

Learning skills
The skills acquired by the student will allow him to develop a critical capacity that will allow him to face with great flexibility the different professional contexts in which he will have to operate.

120706 - INTERNSHIP

First Semester 5ENG
120799 - SMART AGRICULTURAL MACHINERY AND COMPUTATIONAL INTELLIGENCE - 10- -

Learning objectives

Module: ARTIFICIAL INTELLIGENCE APPLICATIONS IN AGRICULTURE
Learning objectives
The objectives of the Artificial Intelligence Applications in Agriculture course are to provide students with the ability to use advanced statistical tools such as machine learning to understand, design and solve problems concerning the estimation of quantitative or qualitative variables.
Attendance at lessons and exercises, although optional is strongly recommended.

Knowledge and understanding
The course aims to develop in student knowledge and understanding skills, such as:
• Know and understand what a machine learning problem is and when to use machine learning to solve a problem.
• Know and understand the logic behind machine learning and the most common machine learning techniques.
• Know and understand how to develop simple machine learning models and their training.
Applied knowledge and understanding
The course will allow students to apply knowledge and understanding,
allowing for example to:
• Divide problems into general categories
• Match problems with the most suitable algorithms to solve them
• Design and train machine learning algorithms that can estimate qualitative or quantitative variables based on structured and non-structured datasets.
Making judgements
The course will allow students to develop autonomy of judgment at various levels, such as:
• Identify possible sources of uncertainty in the estimation of variables by machine learning (underfitting, overfitting, etc.)
• Propose critical solutions to correct trends that undermine the value of the estimate.
Communication skills
Participating in the lessons and/or using the material made available independently will facilitate the development and application of communication skills, such as:
• provide a sufficient range of practical examples of application of artificial intelligence
• Use a suitable and up-to-date computer science technical vocabulary.
Learning skills
Participating in the lessons and/or independently using the material made available will facilitate the consolidation of one's learning skills, allowing for example to:
• activate a program of continuous education updating of one's knowledge
• Independently identify the ways to acquire information
• identify and use the sources of information most useful to staff updating.

Module: Machines for Precision Farming
Learning objectives
The students must acquire basic skills to develop the mechanization of operations in precision farming. In particular, they must be able to choose suitable machines for sustainable and high-quality work (knowing operational methods, safety aspects, etc.) while respecting mechanization constraints (economic, environmental, safety, etc.).
Knowledge and understanding
The student must acquire knowledge and understanding of the principles underlying the design and operation of machines and plants and be able to introduce them into agricultural sites, respecting various constraints.
Applying knowledge and understanding
The student must acquire the ability to apply theoretical knowledge of the topics covered in the course critically to identify individual machines, a fleet of machines, or systems for precision farming.
Making judgements
The student must be able to select specific machines and plants from the market suitable for various types of agricultural work sites where precision farming principles are applied. This should be done objectively, without being influenced by manufacturers, and respecting social, scientific, or ethical aspects related to each mechanization decision.
Communication skills
The student must be able to effectively communicate information about machines and plants and their technical-economic requirements to third parties (employers, clients such as agricultural companies, forestry enterprises, etc.), justifying their choices.
Learning skills
The course structure will be developed to first convey "cross-cutting" basic concepts relevant to any type of machine. Subsequently, individual types of machines (the most widespread in precision farming) will be covered. The topics will be presented to stimulate a desire for learning, logically developing knowledge gradually, from materials and mechanical principles to construction and safety aspects, to machine management. The same logic is required in creating a presentation (flipped classroom), which will be considered in the learning assessment.


MODULE IISecond Semester5INF/01ENG
MODULE IISecond Semester5AGR/09ENG
120801 - DIGITAL TECHNOLOGIES APPLIED TO GENETICS

First Semester 5AGR/07ENG

Learning objectives

Knowledge and understanding
The course aims to provide the necessary knowledge for the evaluation of phenotypes and their genetic bases in order to learn the body's responses to different environmental situation and to be able to favor those most suited to specific needs. The basics of modern genetic analysis from sequencing to the evaluation of genomes and biodiversity will also be provided.
Applied knowledge and understanding
The course deals with genotypic and genomic characterization (morpho-bio-molecular markers; automation in field genotyping - NGS, DNA barcoding, genotyping by sequencing; population genetics; management of natural populations), phenotypic characterization (tolerance traits abiotic stress observation and parameterization; phenotyping of the individual, populations and communities; analysis of point and area data, from multispectral analysis to phenotype), from genotype to phenotype (gene regulation; phenotypic plasticity; epi-genetics), the exploitation of germplasm (characterization, enhancement and conservation of germplasm; general principles and application to case studies).
Making judgments
Know how to decide the best genetic evaluation and biodiversity conservation methodologies to use in different situations.
Communication skills
Acquire technical terminology to communicate information, ideas, problems and solutions clearly and in detail to the scientific and public community.
Learning skills
Develop learning skills necessary to undertake further studies with a high degree of autonomy.

120695 - INNOVATIVE APPROACHES FOR FOOD PROCESSING IN MARGINAL AREAS

Second Semester 5AGR/15ENG

Learning objectives

Knowledge and understanding
The course provides advanced knowledge of innovative approaches to food processing, with a particular focus on marginal areas where environmental and climatic conditions affect agricultural production.
Students will gain an in-depth understanding of the biological, chemical, and physical processes involved in food transformation, as well as the principles of Mild Technologies, innovative techniques that preserve nutritional and sensory properties while minimizing processing impact.
Key concepts of sustainability, local resource valorization, and circular bioeconomy will be addressed as integral parts of modern food innovation strategies.
Applying knowledge and understanding
Through laboratory exercises and case studies, students will learn to apply theoretical concepts to the design, optimization, and control of food production processes.
In particular, they will be able to:
 assess and improve the nutritional and sensory quality of local food products;
 select mild and sustainable technologies suitable for resource-limited environments;
 develop transformation and preservation strategies aimed at enhancing local and marginal agri-food supply chains.
Making judgements
The course aims to develop students’ critical thinking skills in evaluating the impact of different processing methods on food quality, sustainability, and safety.
Students will be able to make informed and independent judgments regarding the most appropriate technological choices to preserve the nutritional and sensory properties of foods and to promote responsible innovation in marginal food production systems.
Communication skills
Students will acquire a technical and scientific language suitable for effectively communicating knowledge and technical solutions related to innovative food processing.
They will learn to present analyses and project outcomes clearly and rigorously to both technical and non-specialist audiences (e.g., local producers, institutions, consumers), highlighting the connection between technological innovation, product quality, and territorial value.
Learning skills
The acquired competencies will enable students to independently deepen emerging topics in sustainable food technologies, especially those relevant to marginal environments.
They will develop the ability to continuously update their knowledge on scientific and technological advances in the sector and to integrate interdisciplinary approaches to address food processing challenges within the context of the ecological transition.

120701 - DIGITAL TECHNOLOGIES IN AGRICULTUR - 10- -

Learning objectives

Module: Precision Agronomy
Learning objectives
The objectives of the Precision Agronomic Techniques course are to provide students with the ability to use digital tools and technologies for the monitoring, analysis and management of cropping systems and for the application of precision agronomic techniques for open field applications with particular regard to herbaceous cropping systems. Attendance at lectures and exercises, although optional, is strongly recommended.

Knowledge and understanding
The course aims to develop in student knowledge and understanding skills, such as:
• know and understand which technologies are useful for monitoring cropping systems for precision agronomic applications such as multispectral and hyperspectral remote sensing to quantitatively estimate variables of agronomic interest of vegetation and soil;
• to know and understand the techniques and technologies that can be used to analyze the spatial and temporal variability of cultivated plots, in particular by exploiting process-based agronomic modeling tools;
• know and understand the methods of development and application of precision agronomic techniques such as seeding, fertilization and irrigation.
Applied knowledge and understanding
The course will allow students to apply knowledge and understanding, allowing for example to:
• know and use the main multispectral satellite systems suitable for precision agriculture through the use of cloud-based platforms for the analysis of the temporal and spatial variability of cultivated plots;
• know and use the techniques to estimate biophysical variables of vegetation and soil from satellite data for the purpose of monitoring agricultural crops;
• know and use a proces-based agronomic model to analyze agronomic management scenarios;
• know the techniques and technologies and equipment for precision seeding, irrigation and fertilization.
Making judgements
The course will allow students to develop autonomy of judgment at various levels, such as:
• hypothesize which properties of the soil and atmosphere influence the spatial and temporal variability of agricultural production;
• propose the most suitable precision management agrotechniques for efficient and sustainable management of herbaceous crops.
Communication skills
Participating in the lessons and/or using the material made available independently will facilitate the development and application of communication skills, such as:
• provide a sufficient range of practical examples of the application of precision agronomic techniques to herbaceous crops;
• use an appropriate and up-to-date agronomic technical vocabulary.
Learning skills
Participating in the lessons and/or independently using the material made available will facilitate the consolidation of one's learning skills, allowing for example to:
• activate a program of continuous education updating of one's knowledge;
• Independently identify the ways to acquire information;
• identify and use the sources of information most useful to staff updating.

Module: DIGITAL APPLICATION IN ARBORICOLTURE
Learning objectives
The learning objectives of teaching Digital Applications in foothill arboriculture are to provide the student with the ability to use digital tools and technologies for monitoring analysis and management of fruit tree systems and for the application of precision agronomic techniques in the field with regard to fruit trees from the foothill environment.
The course also intends to provide students with the ability to identify the most appropriate level of digitization applicable to the different types of orchard farms, together with an in-depth exploration of the different plant shapes used in fruit tree systems, with the aim of calibrating the applications of fruit farming 4.0 to the type of planting and plant shapes used in the orchard. The objectives described above are also pursued through the exploration of appropriate case studies.
Knowledge and understanding skills
The teaching aims to develop students' knowledge and understanding skills, such as:
• knowing and understanding what technologies are useful in monitoring tree systems for precision agronomic applications such as remote sensing and digital soil mapping to quantitatively estimate variables of agronomic interest in vegetation and soil;
• know and understand the digital techniques and technologies that can be used to analyze the spatial and temporal variability of the orchard;
• to know and understand the development and application of precision agronomic techniques and decision support systems for plant fruit systems.
Applied knowledge and understanding
The teaching will enable the application of knowledge and understanding, allowing the student to:
• know and use the main multispectral satellite systems suitable for precision agriculture through the use of cloud-based platforms for analyzing the temporal and spatial variability of fruit-growing plots;
• know and use techniques for estimating vegetation and soil biophysical variables from satellite data and through the use of proximal sensing for monitoring fruit crops;
• to know the techniques and technologies available for digital applications in the management of cultivation operations in the orchard, also exploring the opportunities for using drones and agribots for the automatic execution of cultivation operations.
Autonomy of judgement
Teaching will allow the development of autonomy of judgement at various levels, such as:
• hypothesize which soil and climate properties influence the spatial and temporal variability of fruit tree crops;
• propose the most suitable precision management agro-techniques for efficient and sustainable management of fruit tree crops.
Communication skills
Participation in the lectures and use of the teaching materials made available will facilitate the development and application of communication skills, such as:
• provide an exhaustive range of practical examples of the application of precision agronomic techniques to fruit tree crops;
• using an appropriate and up-to-date technical agronomic vocabulary in line with fruit growing 4.0.
Learning skills
Participating in lessons and making independent use of the material made available will facilitate the consolidation of one's learning skills, such as:
• activate a programme of continuous updating of one's knowledge;
• autonomously identify ways of acquiring information by consulting bibliographic databases at various levels (peer-reviewed journals, popular journals, conference proceedings, websites, etc.);
• identify and use the most useful sources of information for personal updating.

MODULE IISecond Semester5AGR/02ENG
MODULE IISecond Semester5AGR/03ENG
120708 - THESIS

Second Semester 15ENG
CHOICE GROUPSYEAR/SEMESTERCFUSSDLANGUAGE