Guías Docentes Electrónicas
1. General information
ECTS credits:
Academic year:
First semester
Main language:
Second language:
Use of additional languages:
English Friendly:
Web site:
Phone number
Office hours
San Isidro Labrador/0.17
Tuesdays, Wednesdays and Thursdays from 12:00 to 14:00 hours. It is recommended to contact the professor previously.

Lecturer: JAIME VILLENA FERRER - Group(s): 20 
Phone number
Office hours
E.T.S. Ingenieros Agrónomos CR/0.18
Monday 12.00-15.00 h; Tuesday, Wednesday and Thursday 14.00-15.00 h.

2. Pre-Requisites

No prerequisites have been established. It is recommended to have studied Graphic Expression (first year) and Topography (second year).

3. Justification in the curriculum, relation to other subjects and to the profession

This subject is closely related to multiple subjects studied in the degree, as it is an optional subject in the last year of the degree and it introduces the student to new technologies in the world of agronomy. In addition, it is recommended to have taken the subjects of Graphic Expression (first year) and Topography (second year), it can be complemented with the subject of Infrastructure Planning and Agricultural Mechanisation (fourth year) and can be considered a basic subject for the Master's Degree in Agronomic Engineering.

Innovation and technological renovation in the agricultural sector involve transmitting knowledge to agricultural engineering professionals, as well as awakening interest and a spirit of innovation, cooperation with the science-technology-business system and the competitiveness of the productive structure.

Nowadays, the agricultural sector is undergoing a major transformation. Every day, sensors, instrumentation and working methodologies are emerging that can quickly and cost-effectively achieve the desired sustainability and competitiveness in many agricultural applications.

Some of the future professional activities that engineers of the future will have to carry out include: i) calculating vegetation indices and creating maps of inputs to be applied to each plot, ii) monitoring crops for precision irrigation programming and iii) making remote sensing maps compatible with agricultural machinery. To help with these and many other activities, we have tools for the processing (analysis and representation) of spatial data such as Geographic Information Systems (GIS) or Unmanned Aircraft Systems (UAS) and their associated technologies (software).


The use of this technology in precision agriculture is justified for different reasons, such as the fact that the images and information can be taken with UAS at the right moment, which allows them to adapt very well to the conditions of the crop or the fact that the images have a higher spatial resolution, capable of detecting weeds or monitoring diseases since they can be flown at low altitude.

The development of the subject provides future graduates with invaluable help in the development of work in the rural environment, complementing their training, from support in decision-making in the application of irrigation or crop treatments by thermography, topographical surveys, use of computer programmes, surveillance and general inspection, sampling and even application of certain treatments, monitoring of extensive livestock, leak detection in agri-food industries, etc., improving productivity and environmental sustainability.

4. Degree competences achieved in this course
Course competences
Code Description
E45 Ability to know, understand and use the principles of knowledge of complementary subjects specialising in Agricultural Farming, with an open, multidisciplinary character and with direct application in the professional scope of the Agricultural Technical Engineer
G01 Knowledge of a foreing language
G03 Speaking and writing skills
G04 Analysis and synthesis capacity
G05 Organization and planning capacity
G07 Problem resolution
G08 Decision-making
G09 Ethical commitment and professional ethics
G10 Teamwork
G11 Interpersonal relationship skills
G13 Teamwork
G14 Autonomous Learning
G15 Adaptation to new situations
G16 Creativity
G17 Leadership
G18 Initiative and entreprising spirit
G19 Quality Motivation
G20 Environmental sensitivity
G21 Ability to apply practical knowledge
G22 Basic knowledge of the profession
G23 Ability to communicate with non-experts
G31 Ability to solve problems with creativity, initiative, methodology and critical thinking
G34 Ability to develop their activities, assuming a social, ethical and environmental commitment in tune with the reality of the human and natural environment.
5. Objectives or Learning Outcomes
Course learning outcomes
Improve the capacity to integrate new technologies with the environmental impact within the agri-food sector, being sensitive to the capacity to participate in multidisciplinary initiatives or groups.
Possibility of autonomously expanding specific knowledge through the search for new applications or by developing those already acquired.
Acquire knowledge and skills in the use of specific tools that provide the student with a greater operational capacity of the acquired knowledge.
Identification and use of emerging technologies in the field of Agricultural and Agri-food Engineering.
Complement basic and specific training oriented to a certain specialisation with an open, multidisciplinary character and with direct application in the professional field.
Additional outcomes
Not established.
6. Units / Contents
  • Unit 1: 3D Printing
    • Unit 1.1: Introduction to 3D printin
    • Unit 1.2: The 3D printer: description and types
    • Unit 1.3: Materials for printing
    • Unit 1.4: Model creation
    • Unit 1.5: Laminating and printing models
  • Unit 2: Unmanned Aerial Systems (UAS) and their applications in agronomy
    • Unit 2.1: Introduction to UAS
    • Unit 2.2: Flight Systems: Principles of operation and piloting
    • Unit 2.3: Current UAS regulations
    • Unit 2.4: Forecast and flight schedule
    • Unit 2.5: Remote sensing and photogrammetry
    • Unit 2.6: Precision agriculture techniques using drones/UAS
  • Unit 3: Geographic Information Systems (GIS)
    • Unit 3.1: Introduction to GIS
    • Unit 3.2: Vector and raster models
    • Unit 3.3: Operations and analysis in vector models
    • Unit 3.4: Operations and analysis in raster models
    • Unit 3.5: Resolution of practical cases
7. Activities, Units/Modules and Methodology
Training Activity Methodology Related Competences (only degrees before RD 822/2021) ECTS Hours As Com Description
Class Attendance (theory) [ON-SITE] Lectures E45 G01 G04 G05 G08 G13 G20 G22 0.58 14.5 Y N Participative master lecture in which theoretical concepts are analysed and specific topics of the programme are screened with the active participation of the students. Presentations and explanations are necessary for the understanding of the programme content. This activity will be assessed through performance in the corresponding exams and assignments.
Class Attendance (practical) [ON-SITE] Problem solving and exercises E45 G03 G04 G05 G07 G08 G10 G11 G13 G21 G22 0.5 12.5 Y N Lectures with active student participation in which problems will be solved and practical cases will be analysed. This activity will be assessed through performance in the corresponding exams and assignments.
Writing of reports or projects [OFF-SITE] Self-study E45 G01 G03 G04 G05 G07 G08 G09 G10 G11 G13 G14 G15 G16 G18 G19 G20 G21 G22 1.7 42.5 Y N Preparation of individual work with case studies on specific topics related to the subject, tutored by the professor. This activity is not recoverable. This activity will be assessed on the performance in the corresponding assignments and reports ("work" assessment system).
Study and Exam Preparation [OFF-SITE] Self-study E45 G01 G04 G05 G07 G13 G14 G16 G18 G19 G20 G21 G22 1 25 N N Non-attendance work by the student for the preparation of exams. This activity will be assessed in the exams and papers presented.
Final test [ON-SITE] Assessment tests E45 G03 G04 G05 G07 G08 G13 G15 G16 G19 G21 G22 0.1 2.5 Y N Practical and theoretical exams.
Class Attendance (practical) [ON-SITE] Practical or hands-on activities E45 G01 G03 G04 G05 G07 G08 G09 G10 G11 G13 G14 G15 G16 G18 G19 G20 G21 G22 0.5 12.5 Y Y Resolution of practical cases with computer and activities related to remote sensing and photogrammetry. This activity can be recovered in the extraordinary call. This activity will be assessed in the exams and assignments.
Project or Topic Presentations [ON-SITE] Individual presentation of projects and reports G03 G04 G05 G07 G08 G10 G13 G14 G17 G21 G22 G23 G31 G34 0.12 3 Y N Individual or group presentation of specific topics related to the subject. This activity is not recoverable. This activity will be evaluated through the performance in the assignments ("oral presentation of topics" evaluation system).
Total: 4.5 112.5
Total credits of in-class work: 1.8 Total class time hours: 45
Total credits of out of class work: 2.7 Total hours of out of class work: 67.5

As: Assessable training activity
Com: Training activity of compulsory overcoming (It will be essential to overcome both continuous and non-continuous assessment).

8. Evaluation criteria and Grading System
Evaluation System Continuous assessment Non-continuous evaluation * Description
Projects 20.00% 20.00% Continuous assessment: Individual or group work complementary to the activities. Creation of models and 3D printing, creation of orthomosaics, development of reports and case studies with GIS. Work of different modalities in continuous and non-continuous assessment.
Assessment of active participation 5.00% 0.00% Participatory attendance and student motivation in theory and practical classes will be assessed.
Final test 70.00% 80.00% Examination of theoretical and practical content.
Oral presentations assessment 5.00% 0.00% Continuous assessment: Oral presentation of individual or group topics.
Total: 100.00% 100.00%  
According to art. 4 of the UCLM Student Evaluation Regulations, it must be provided to students who cannot regularly attend face-to-face training activities the passing of the subject, having the right (art. 12.2) to be globally graded, in 2 annual calls per subject , an ordinary and an extraordinary one (evaluating 100% of the competences).

Evaluation criteria for the final exam:
  • Continuous assessment:
    In principle, all students are considered to follow the continuous assessment mode. Students may change to the non-continuous assessment mode, provided that they have not completed 50% of the assessable activities, by giving prior notice to the professors. Once this 50% of evaluable activities has been reached or if, in any case, the class period has ended, the student will be considered to be in continuous assessment without the possibility of changing assessment mode.

    Continuous assessment for the student will consist of a final test with theory and problems (70% of the overall mark); completion of assignments or reports (questionnaires/assignments, resolution of reports or assignments, 20% of the overall mark), assessment of active participation (5% of the overall mark) and oral presentations (5% of the overall mark).
    The final exam will be divided into two blocks (Block I: Topic 1 and 2 and Block II: Topic 3), being necessary to obtain a grade higher than or equal to 40% of the mark in each of the two blocks mentioned. If these minimum scores are not reached, the overall grade in the minutes will correspond to the grade of the test, being a maximum of 4 (fail).
    In order to pass the course, a minimum grade of 5 out of 10 in the overall grade is required.
  • Non-continuous evaluation:
    Non-continuous assessment: On the date corresponding to the ordinary call, the student will take an exam (final test 80%) in which the theoretical and practical contents developed throughout the course will be evaluated, being necessary to obtain a minimum qualification of 4 out of 10. A Project proposed by the professors will also be assessed (Projects 20%). This work will be defended on the same date or on a date previously arranged for this purpose, where the student will answer the appropriate questions that justify their authorship.

    In order to pass the course, a minimum grade of 5 out of 10 in the overall grade is required. Students who do not pass the course in the ordinary exam will be assessed with the same criteria in the extraordinary exam.

Specifications for the resit/retake exam:
The same criteria will be followed as in the final exam, keeping in this call the grades obtained in the items Assessment of active participation, Oral Presentation assessement, Projects (continuous assessment), and Projects (non-continuous assessment) of the final exam.

In order to pass the course, students must obtain a minimum grade of 5 out of 10 in the overall grade.
Students who do not pass the course in this exam will have to take the whole course again.
Specifications for the second resit / retake exam:
The same criteria will be followed as for the assessment of the final exam in non-continuous assessment.
9. Assignments, course calendar and important dates
Not related to the syllabus/contents
Hours hours
Class Attendance (theory) [PRESENCIAL][Lectures] 14.5
Class Attendance (practical) [PRESENCIAL][Problem solving and exercises] 12.5
Writing of reports or projects [AUTÓNOMA][Self-study] 42.5
Study and Exam Preparation [AUTÓNOMA][Self-study] 25
Final test [PRESENCIAL][Assessment tests] 2.5
Class Attendance (practical) [PRESENCIAL][Practical or hands-on activities] 12.5
Project or Topic Presentations [PRESENCIAL][Individual presentation of projects and reports] 3

Global activity
Activities hours
10. Bibliography and Sources
Author(s) Title Book/Journal Citv Publishing house ISBN Year Description Link Catálogo biblioteca
Arozarena Villar, Antonio. Sistemas de captura de la información : fotogrametría y tele Dextra, 2016 Ficha de la biblioteca
David Virués Ortega, José Antonio García-Cabañas Bueno Piloto de dron (RPAS) S.A. Ediciones Paraninfo 8428338736 2016  
Emilio Ortega Pérez Sistemas de información geográfica : teoría y práctica / Dextra, 978-84-16277-67-4 2016 Ficha de la biblioteca
Marina Lietti, Pedron Millán García Manual Drones: Tecnología aplicada a campos de golf IC editorial 978-84-17343-68-2 2018 Ficha de la biblioteca
Martínez Delgado, Sara Introducción a Quantum GIS (QGIS) : aplicaciones en ingenier Garceta, 978-84-1728-946-1 2019 Ficha de la biblioteca
Tadeo Espinoza, Arturo Aplicaciones de drones en ingenieria civil : topografía, ins Marcombo, 978-84-267-3435-8 2022 Ficha de la biblioteca

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