This course focuses on the description, analysis, and application of methods employed in irrigation programming and addresses them from the basic components of the soil water balance to the technologies based on the variation in the soil water content and the water status of crops. Specifically examined are the strategies of controlled deficit irrigation (CDI) and partial rootzone drying (PRD) as techniques for increasing water productivity and the quality of the harvest in irrigated agriculture.
Knowing crops irrigation requirements is essential to adapt the water supply of irrigation networks and to calculate the indicators that determine their management efficiency
Competencies and learning outcomes
- Capacity for continuous improvement, experimentation and innovation.
- Capacity for teamwork and the leadership of Human Resources.
- Ability to solve problems.
- Ability to apply knowledge in practice.
- Critical and analytical capacity in the relevant specialty area.
- Capacity for evaluation, optimization, and comparison of criteria for decision making.
- Communication skills and knowledge transfer in environments of experts and nonexperts.
- Know the tools needed for assessing component selection strategies.
- Understand the operation of control systems.
- Identify the most appropriate solutions in the management of natural resources.
- Appropriately choose and describe the fundamental components of an automation and remote control system.
- Apply the most appropriate methodology for managing water and energy.
- Develop organizational control systems and facilities management.
- Learn the best methods for the development of automation and remote control devices.
- Develop new devices for monitoring, data collection, management and process automation.
- Develop improvement plans for resource management systems.
- Develop resource management models from the observation of real data.
- Know and apply programming methodologies and risk management in the design of automation and remote systems.
Objectives (Learning outcomes)
- to know the scientific fundamentals of irrigation scheduling
- Calculate irrigation schedules using the water balance approach
- Develop irrigation schedules out of data from soil moisture sensors
- Develop irrigation schedules from data of plant water status sensors
- Learn the basics and apply Regulated Deficit Irrigation techniques
Methodology and grading
- Case studies: Learning through the analysis of actual or simulated cases in order to interpret and resolve them by employing various alternative solution procedures.
- Lecture: Pass on knowledge and activate cognitive processes in students, encouraging their participation.
- Problem-based learning: Develop active learning strategies through problem solving that promote thinking, experimentation, and decision making in the student.
- Solving exercises and problems: Exercise, test, and apply previous knowledge through routine repetition.
- The assessment system will consist of:
Theoretical knowledge examination will involve 40% of the final grade for the course: an exam will take place in the virtual platform, including test questions about the theoretical contents. The minimum score required to average the rating of these tests with the qualification of the tasks of the virtual platform will be 4 out of 10.
Tasks of the virtual platform which will provide 60% of the final grade for the course: four tasks will be proposed in the virtual platform, which may be work, reports or problem solving. The minimum score required to average the rating of the tasks of the virtual platform with the qualification obtained in the theoretical examination will be 4 out of 10.
Criteria for grading:
In the correction of the tasks will take into account both the process followed in preparing the work or solving problems, such as obtaining accurate results and correct use of units. Making sketches, diagrams or drawings as appropriate explanation and resolution process will be assessed.