Precision agriculture course with drones
About our
The Precision Agriculture with Drones course trains participants in the use of drones and remote sensors to optimize agricultural management. It explores remote sensing techniques, geospatial data analysis, and 3D modeling to monitor crops, detect problems such as pests or water stress, and apply fertilizers and pesticides precisely. The course covers flight planning, image processing, and specialized software for data interpretation, aiming to improve agricultural productivity and sustainability. The course includes hands-on training in the use of drones for crop mapping, plant health assessment, and input application. Compliance with current legislation regarding drone use and safety in aerial operations is also addressed. Participants learn to generate yield maps, vegetation indices, and digital terrain models for informed decision-making in the field.
Precision agriculture course with drones
- Format: Hybrid
- Duration: 3 months
- Hours: 300 H
- Language: English / Spanish
- Registration date: 23-10-2026
- Start date: 12-12-2026
- Available places: 2
449 $
Competencies and results
What you will learn
1. **Comprehensive Mastery of Precision Agriculture with Drones: Advanced Techniques**
1. **Strategic Planning and Design of Drone Flights:**
* Design of optimized flight missions for agricultural data collection.
* Selection and configuration of drones and sensors suitable for specific tasks.
* Safety and regulatory compliance considerations for drone operations.
2. **Data Capture and Processing with Remote Sensors:**
* Data acquisition using multispectral, thermal, and LiDAR sensors.
* Radiometric and geometric calibration and correction of data.
* Image processing and generation of vegetation maps, health indices, and digital elevation models (DEMs).
3. **Advanced Analysis of Agricultural Data:**
* Data interpretation to identify crop variability and detect problems.
* Application of machine learning algorithms for predictive analysis and early disease detection.
* Generation of prescription maps for variable-rate application of inputs (fertilizers, pesticides, water).
4. **Drone-Based Precision Agriculture Techniques:**
* Application of prescription maps for precision planting, fertilization, and irrigation.
* Real-time crop monitoring and data-driven decision-making.
* Crop performance evaluation and optimization of agricultural practices.
5. **Drone Integration in Agricultural Management:**
* Integration of drone data with geographic information systems (GIS) and agricultural management software.
* Development of efficient workflows for data management and decision-making.
* Evaluation of the return on investment (ROI) of precision agriculture with drones.
2. **Crop Optimization: Aerial Analysis and Drone Strategies**
Here’s a summary of what you’ll learn in the course “Crop Optimization: Aerial Analysis and Drone Strategies”:
What will you learn?
1. **Fundamentals of Aerial Analysis in Agriculture:**
* Understand the importance of aerial analysis for precision agriculture.
* Identify the different platforms and sensors used in agricultural drones.
* Understand the advantages and limitations of using drones for crop optimization.
2. **Data Acquisition and Processing:**
* Master flight planning techniques for efficient data capture.
* Learn to calibrate and manage multispectral and thermal sensors.
* Use specialized software for image processing and orthomosaic generation.
3. **Analysis of Vegetation Indices:**
* Interpret and apply the main vegetation indices (NDVI, VARI, EVI, etc.).
* Relate vegetation indices to the phenological and health status of crops.
* Detect and evaluate problem areas such as water stress, nutritional deficiencies, and diseases.
4. **Droning Strategies for Crop Optimization:**
* Implement the use of drones for crop monitoring and early problem detection.
* Use drones for the precise application of agrochemicals and fertilizers (precision agriculture).
* Develop strategies for efficient irrigation management using drone data.
5. **Specific Applications and Case Studies:**
* Explore the use of drones in different types of crops (cereals, fruit trees, vegetables, etc.).
* Analyze real-world case studies to understand the impact of drones on agricultural productivity and profitability.
* Learn to adapt drone strategies to the specific needs of each crop and environment.
6. **Regulatory and Safety Aspects:**
* Become familiar with current legislation regarding the use of drones in agriculture.
* Acquire knowledge about drone safety and risk prevention.
* Understand best practices for data management and privacy protection.
3. Comprehensive user-oriented design and validation (from modeling to manufacturing)
You will learn to integrate the entire product development process, from initial model conception to final validation, applying user-centered methodologies. You will develop skills in parametric design, ergonomics, simulation, sustainable materials, 3D visualization, and manufacturing management, ensuring efficient, safe solutions that meet current industry standards.
4. **Precision Agriculture with Drones: Mapping, Analysis and Decision Making**
4. **Precision Agriculture with Drones: Mapping, Analysis, and Decision Making**
- Master drone data capture and processing: You will gain experience in flight planning, configuring multispectral and thermal sensors, and using specialized image management software.
- Learn to generate high-resolution maps: You will develop the ability to create vegetation maps (NDVI, NDRE), digital elevation maps (DEM), and accurate orthomosaics using photogrammetry and image processing techniques.
- Interpret data for agricultural analysis: You will be trained in analyzing collected data, identifying growth patterns, water stress, nutritional deficiencies, and pests using algorithms and spatial analysis tools.
- Apply information for decision making: You will learn to use the analysis results to optimize crop management, including the application of fertilizers and pesticides. Irrigation and crop planning, maximizing efficiency and profitability.
Understand the fundamentals of precision agriculture: You will gain a solid foundation in the principles of precision agriculture, including the use of GPS, remote sensors, and geographic information systems (GIS).
Become familiar with legislation and best practices: You will learn about current regulations on the use of drones in agriculture and best practices to ensure safety and regulatory compliance.
5. **Drones in Agriculture: Monitoring, Analysis and Crop Management**
5. **Drones in Agriculture: Crop Monitoring, Analysis, and Management**
Identification and analysis of drone technology applied to precision agriculture.
Data acquisition and processing using multispectral and thermal sensors on drones.
Image and data interpretation for creating vegetation maps, plant health indices (NDVI, EVI, etc.), and anomaly detection.
Data-driven crop management: precise application of fertilizers, irrigation, and pesticides.
Modeling and simulation of crop performance using drone-acquired data.
Evaluation of the efficiency and profitability of drone use in different types of crops.
Regulations and safety in the use of drones in agriculture.
Developing strategies for optimizing sustainable agricultural production.
Advanced applications: plant counting, biomass estimation, and early detection of pests and diseases.
Analysis of case studies and practical examples of drone implementation in agriculture globally.
6. **Aerial Precision Agriculture: Drones, Sensors and Production Management**
6. **Aerial Precision Agriculture: Drones, Sensors, and Production Management**
Precision Agriculture Fundamentals: Key concepts, benefits, and challenges.
Drone Technology: Types of drones, selection, configuration, and maintenance for agricultural applications.
Remote Sensors and Data Acquisition: Multispectral, hyperspectral, and thermal sensors; calibration and data processing.
Data Analysis: Interpreting images and data to identify patterns, anomalies, and specific crop needs.
Regulations and Safety: Legal regulations on the use of drones in agriculture, safety in operations, and ethical considerations.
Who this program is for:
Precision agriculture course with drones
- Farmers and agricultural professionals seeking to optimize their operations.
- Technicians and agronomists interested in implementing cutting-edge technologies in their farming practices.
- Business owners and entrepreneurs in the agri-food sector who want to improve the efficiency and profitability of their crops.
- Students and recent graduates in agronomy, agricultural engineering, or related fields who wish to specialize in precision agriculture.
- Standards-driven curriculum: you will work with CS-27/CS-29, DO-160, DO-178C/DO-254, ARP4754A/ARP4761, ADS-33E-PRF from the first module.
- Accreditable laboratories (EN ISO/IEC 17025) with rotor bench, EMC/Lightning pre-compliance, HIL/SIL, vibrations/acoustics.
- Evidence-oriented TFM: safety case, test plan, compliance dossierand operational limits.
- Mentored by industry: teachers with experience in rotorcraft, tiltrotor, eVTOL/UAM and flight test.
- Flexible modality (hybrid/online), international cohorts and support from SEIUM Career Services.
- Ethics and security: safety-by-design approach, cyber-OT, DIH and compliance as pillars.
Module 1 — Drone Fundamentals and Agricultural Regulations
1.1 Introduction to Agricultural Drones: Types and Components
1.2 Legislation and Regulations: Requirements for Flying Agricultural Drones
1.3 Flight Safety: Protocols and Risk Prevention
1.4 Sensors and Cameras: Types and Applications in Precision Agriculture
1.5 Flight Planning: Software and Mapping Techniques
1.6 Introduction to Data Analysis: Software and Methodologies
1.7 Principles of Precision Agriculture: Key Concepts
1.8 Common Applications: Crop Monitoring and Stress Detection
1.9 Drone Maintenance and Care: Key Aspects
1.10 Case Studies: Success Stories in Precision Agriculture
2.1 Digital Twin and Use Cases: Definition, Hypotheses, and KPIs
2.2 CAD/CAE Data Preparation: Cleaning, Meshes, and Simulation Parameters
2.3 Rapid Prototyping: 3D Printing, Lightweight CNC, and Validation Materials
2.4 Virtual Validation: VR/AR for Reviews, Ergonomics, and Walkthroughs
2.5 HIL/SIL Integration: Test Benches, Signals, and Case Orchestration
2.6 DFM/DFA and Tolerance Stacking: Feasibility, Cost, and Assembly
2.7 Test Plan: Protocols, Acceptance Criteria, and Traceability
2.8 Data Acquisition and Analysis: Instrumentation, Quality, and Reproducibility
2.9 Design Correction and Change Management: ECOs, Versions, and Verification
2.10 Case Study: Iterating from Digital Twin to Pilot-Ready Prototype
8.3 Fundamentals of Drone Data Acquisition: Sensors, Cameras, and Spectroradiometers
8.2 Flight Planning for Data Collection: Planning Software and Flight Strategies
8.3 Drone Configuration for Data Capture: Calibration, Adjustments, and Optimization
8.4 Aerial Image Capture: Techniques and Considerations for Obtaining Accurate Data
8.5 Multispectral and Thermal Data: Obtaining and Processing Relevant Information
8.6 Georeferencing and Data Correction: Precise Alignment of Data with the Terrain
8.7 Data Quality Control: Evaluating and Validating Data Accuracy
8.8 Image Processing Software: Structure from Motion (SfM) and Photogrammetry
8.9 Map and Model Generation: Digital Terrain Models (DTMs) and Orthomosaics
8.30 Case Studies: Practical Applications of Aerial Data Collection in Agriculture
4.4 Fundamentals of Aerial Mapping with Drones: Introduction to Photogrammetry and Sensors
4.2 Flight Planning for Agricultural Mapping: Software, Routes, and Areas of Interest
4.3 Data Acquisition with Drones: Image Capture, Calibration, and Quality Control
4.4 Image Processing: Generation of Orthomosaics, Digital Elevation and Surface Models
4.5 Spatial Data Analysis: Vegetation Indices, Anomaly Detection, and Water Stress
4.6 Mapping Applications in Precision Agriculture: Pest and Disease Detection, Yield Analysis
4.7 Advanced Analysis Techniques: 3D Modeling, Volumetric Analysis, and Biomass Estimation
4.8 Data-Driven Decision Making: Interpretation of Results and Management Recommendations
4.9 Analysis Software and Tools: Specialized Platforms and Workflows
4.40 Case Studies: Practical Applications and Best Practices in Agricultural Mapping
5.5 Drone Legislation and Regulations: Key Regulations for Flight.
5.5 Licenses and Permits: Requirements for Operating Drones in Agriculture.
5.3 Introduction to Drone Types and Their Agricultural Applications.
5.4 Drone Components: Operation and Basic Maintenance.
5.5 Getting Started with Drone Flight: Safety and Best Practices.
5.6 Flight Planning: Route Design and Parameter Configuration.
5.7 Flight Software: Drone Control and Management.
5.8 Drone Flight Safety: Risk Prevention and Emergencies.
5.5 Types of Sensors for Precision Agriculture: RGB, Multispectral, and Thermal Cameras.
5.5 Selecting the Right Sensor for Each Application.
5.3 Characteristics of Aerial Platforms: Fixed-Wing and Multirotor Drones.
5.4 Integrating Sensors into Drones: Mounting and Configuration. 5.5 Sensor Calibration: Ensuring Data Accuracy
5.6 Global Positioning Systems (GPS/RTK/PPK): Importance and Operation
5.7 Sunlight Considerations: Use of Filters and Sensor Calibration Based on Sunlight
5.8 Analysis of Market-Available Platforms
3.5 Introduction to Aerial Mapping: Fundamentals and Techniques
3.5 Photogrammetry: Principles and Processes
3.3 Orthomosaic Generation: Creating High-Resolution Maps
3.4 Digital Elevation Models (DEMs) and Digital Terrain Models (DTMs)
3.5 Data Processing Software: Tools and Workflows
3.6 Image Analysis: Vegetation Indices (NDVI, EVI, etc.)
3.7 Generating Productivity Maps and Prescription Maps
3.8 Data Interpretation: Identifying Problems and Opportunities
4.5 Data Analysis for Decision Making: Interpretation of maps and reports.
4.5 Identification of Problem Areas: Detection of water stress, pests, and diseases.
4.3 Crop Management Strategies: Irrigation, fertilization, and pest control.
4.4 Implementation of Prescription Maps: Variable-rate application of inputs.
4.5 Irrigation Optimization: Efficient water management.
4.6 Performance Evaluation: Production monitoring.
4.7 Cost-Benefit Analysis: Return on Investment (ROI).
4.8 Data Integration with Agricultural Management Systems.
5.5 Crop Monitoring with Drones: Flight Frequency and Types.
5.5 Multispectral Data Analysis: Plant Health Assessment.
5.3 Disease and Pest Detection: Early identification. 5.4 Water stress analysis: Detection of water-deficient areas.
5.5 Evaluation of crop growth and development.
5.6 Field data analysis: Collection and processing.
5.7 Report generation and data visualization.
5.8 Performance monitoring and evaluation.
6.5 Agricultural production planning with drones: Strategies.
6.5 Optimization of fertilizer and pesticide use: Precise application.
6.3 Data-driven irrigation management: Efficient water use.
6.4 Crop quality analysis: Crop monitoring.
6.5 Implementation of precision technologies: Production management.
6.6 Performance and profitability evaluation: Measurement.
6.7 Data-driven decision making: Continuous improvement.
6.8 Integration of drones into the agricultural supply chain.
7.5 Introduction to Agriculture 4.0: Digital Transformation in the Sector
7.5 Implementing Drones in Agricultural Strategy: Integration
7.3 Data Collection and Analysis: Interpreting Information
7.4 Geographic Information Systems (GIS): Use in Agriculture
7.5 Artificial Intelligence and Machine Learning: Applications
7.6 Internet of Things (IoT) in Agriculture: Connecting Devices
7.7 Data-Driven Decision Making: Strategies
7.8 Impact Assessment and Continuous Optimization
8.5 Advanced Drone Mapping Techniques: Types and Characteristics
8.5 3D Crop Modeling: Generation and Analysis
8.3 Geospatial Data Analysis: Advanced Tools
8.4 Generating High-Resolution Maps: Details
8.5 Spatial Variability Analysis: Identifying Patterns 8.6 Integration of data from multiple sources: Comprehensive analysis.
8.7 Specific applications: Crop management.
8.8 Best practices and future trends: Innovation.
6.6 Remote Sensing in Agriculture: Types and Functions
6.2 Selecting Drones and Sensors for Specific Applications
6.3 Aerial Data Acquisition: Planning and Flight
6.4 Image Processing: Orthorectification and Mosaics
6.5 Data Analysis: Vegetation Indices and Thematic Maps
6.6 Data Applications: Fertilization, Irrigation, and Pest Control
6.7 Data Integration: Geographic Information Systems (GIS)
6.8 Production Management: Data-Driven Decision Making
6.9 Legal and Regulatory Aspects: Using Drones in Agriculture
6.60 Case Studies: Real-World Applications and Results
- Hands-on methodology: test-before-you-trust, design reviews, failure analysis, compliance evidence.
- Software (depending on licenses/partners): MATLAB/Simulink, Python (NumPy/SciPy), OpenVSP, SU2/OpenFOAM, Nastran/Abaqus, AMESim/Modelica, acoustics tools, planning toolchains DO-178C.
- SEIUM Laboratories: scale rotor bench, vibrations/acoustics, EMC/Lightning pre-compliance, HIL/SIL for AFCS, data acquisition with strain gauging.
- Standards and compliance: EN 9100, 17025, ISO 27001, GDPR.
Capstone-type projects
Admissions, fees, and scholarships
- Profile: Background in Computer Engineering, Mathematics, Statistics, or related fields; practical experience in NLP and valued information retrieval systems.
- Documentation: Updated CV, academic transcript, SOP/statement of purpose, project examples or code (optional).
- Process: Application → Technical evaluation of profile and experience → Technical interview → Review of case studies → Final decision → Enrollment.
- Fees:
- Single payment: 10% discount.
- Payment in 3 installments: No fees; 30% upon registration + 2 equal monthly payments of the remaining 35%.
Monthly payment: available with a 7% commission on the total; annual review.
Scholarships: based on academic merit, financial need, and promoting inclusion; agreements with companies in the sector for partial or full scholarships.
See “Calendar & Calls for Applications,” “Scholarships & Grants,” and “Fees & Financing” in the SEIUM mega-menu.
Do you have any questions?
Our team is ready to help you. Contact us, and we will respond as soon as possible.
F. A. Q
Frequently asked questions
Yes, we have international certification
Yes: experimental models, real data, applied simulations, professional environments, real case studies.
It is not mandatory. We offer leveling tracks and tutoring.
Completely. It covers e-propulsion, integration, and emerging regulations (SC-VTOL).
Recommended. There are also internal challenges and consortiums.
Yes. Online/hybrid modality with planned labs and visa support (see “Visa & Residence”).