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CourseAerospace, UAM, Drones & Space Enrolment open

Course in IoT Applied to Agricultural Machinery

Online 300 h course in IoT applied to agricultural machinery. 6 modules covering ISO 11783 (ISOBUS), ISO/IEC 30141 (IoT reference architecture) and The Things Network (LoRaWAN). Assigned tutor and open enrolment.

Duration300 h
ModeHybrid
LanguageEnglish / Spanish
Start datesOctober / March
LocationEurope (Madrid)
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Identify the relevant variables to measure on a farm.

02

Select sensors, networks and power sources for the field.

03

Configure a data platform with automation rules.

04

Design an irrigation system controlled by sensors.

05

Apply IoT to machinery, livestock and storage facilities.

06

Ensure the security and ownership of agricultural data.

07

Evaluate the costs and benefits of an agricultural IoT project.

Profile

Who it's for

  • Agricultural IoT engineer who wants to specialise in IoT applied to agricultural machinery.
  • Precision irrigation technician who wants to specialise in IoT applied to agricultural machinery.
  • Agtech solutions integrator who wants to specialise in IoT applied to agricultural machinery.
  • Farm digitalisation adviser who wants to specialise in IoT applied to agricultural machinery.
  • Irrigation community technician who wants to specialise in IoT applied to agricultural machinery.
  • Agricultural platform developer who wants to specialise in IoT applied to agricultural machinery.
  • Graduates in engineering or science looking to enter irrigated agriculture.
Standards & tools

What you'll work with

  • ISO 11783 (ISOBUS)
  • ISO/IEC 30141 (IoT reference architecture)
  • Directive 2000/60/EC (water framework)
  • ETSI EN 303 645 (cybersecurity of IoT devices)
  • Regulation (EU) 2023/2854 (Data Act)
  • EU code of conduct on agricultural data sharing
  • Directive 2014/53/EU (radio equipment)
Syllabus

6 modules · 300 h

  1. 1.1Farming decisions that improve with continuous measurement
  2. 1.2Soil moisture and temperature
  3. 1.3Own weather station versus network data
  4. 1.4Crop and microclimate sensors
  5. 1.5Flow meters and irrigation pressure
  6. 1.6Level in tanks, silos and reservoirs
  7. 1.7Sensors in storage and cold rooms
  8. 1.8Pump and valve control
  9. 1.9What is not worth sensing
  10. 1.10Workshop: inventory of measurement points on a farm
  1. 2.1Soil probes: types and installation depth
  2. 2.2Correct installation and common errors
  3. 2.3Low-power, long-range networks
  4. 2.4Mobile networks and field coverage
  5. 2.5Gateways, repeaters and topology
  6. 2.6Solar power and battery management
  7. 2.7Protection against water, sun and wildlife
  8. 2.8Equipment service life in the field
  9. 2.9Cost per measurement point
  10. 2.10Practical: network design for a farm estate
  1. 3.1Ingestion and storage of time series
  2. 3.2Visualisation and dashboards by plot
  3. 3.3Agronomic alerts and thresholds
  4. 3.4Irrigation automation by threshold and by schedule
  5. 3.5Remote control of pumps and valves
  6. 3.6Integration with farm management
  7. 3.7Data quality and detection of faulty probes
  8. 3.8Cybersecurity of devices and control systems
  9. 3.9Connectivity and platform costs
  10. 3.10Practical: dashboard and irrigation automation
  1. 4.1Water balance and crop requirements
  2. 4.2Interpreting soil moisture curves
  3. 4.3Irrigation decisions based on the sensor
  4. 4.4Irrigation uniformity and its verification
  5. 4.5Detection of leaks and blockages
  6. 4.6Fertigation and conductivity control
  7. 4.7Water and energy savings
  8. 4.8Consumption records and compliance
  9. 4.9Comparison between irrigation sectors
  10. 4.10Practical: sensor-based irrigation scheduling
  1. 5.1Control of conditions in storage and cold rooms
  2. 5.2Silo levels and feed management
  3. 5.3Tracking of machinery and implements
  4. 5.4Anti-theft protection for equipment and materials
  5. 5.5Control of installations and pumping
  6. 5.6Greenhouse sensors
  7. 5.7Connected pest traps
  8. 5.8Operation records for traceability
  9. 5.9Integration with drones and remote sensing
  10. 5.10Practical: additional use case of your choice
  1. 6.1Pilot test in one plot
  2. 6.2Phased deployment and prioritisation
  3. 6.3Team training and real adoption
  4. 6.4Maintenance of field equipment
  5. 6.5Data ownership and exit plan
  6. 6.6Total cost and return per hectare
  7. 6.7Grants and subsidies for digitalisation
  8. 6.8Common errors in connected field projects
  9. 6.9Farm digitalisation roadmap
  10. 6.10Final project: sensing plan for a farm
Methodology, software & labs

How you'll learn

Training 100 % online on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetables: students progress at their own pace within the intake, which makes it possible to combine the course with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is The Things Network (LoRaWAN), Node-RED, ThingsBoard, Grafana, Python, in free, academic or evaluation versions. Case studies cover real procedures for installing soil moisture probes, sensor-based irrigation automation and field coverage tests. Assessment is continuous by module plus the final integrating project.

Accreditable laboratories(EN ISO/IEC 17025) with a rotor test rig, EMC/Lightning pre-compliance, HIL/SIL, vibration/acoustics.
Evidence-oriented Master's Thesis:safety case, test plan, compliance dossier and operating limits.
Industry mentoring:lecturers with experience in training, , eVTOL/UAM and flight test.
Flexible format(hybrid/online), international cohorts and support from SEIUM Career Services.
Ethics and safety:safety-by-design approach, ciber-OT, DIH and compliance as pillars.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Pilot test in one plot

Identify the relevant variables to measure on a farm.

Phased deployment and prioritisation

Select sensors, networks and power sources for the field.

Team training and real adoption

Configure a data platform with automation rules.

Maintenance of field equipment

Design an irrigation system controlled by sensors.

Data ownership and exit plan

Apply IoT to machinery, livestock and storage facilities.

Career opportunities

Where this takes you

Agricultural IoT engineerPrecision irrigation technicianAgtech solutions integratorFarm digitalisation adviserIrrigation community technicianAgricultural platform developer
Admissions & scholarships

Requirements

  • No prior degree required.
  • Internet connection and a computer capable of running the programme's software.
  • Sufficient Spanish to follow technical regulatory reading.

Ready to start?

Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.

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FAQ

Frequently asked questions

The programme comprises 300 total hours spread over 3 to 5 months. That is between 10 and 15 hours a week on average, compatible with full-time work.

You work with The Things Network (LoRaWAN), Node-RED, ThingsBoard, Grafana, Python. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.

An in-house diploma from SEIUM Institute upon passing the continuous assessment and the integrating project. It is in-house training, not an official Ministry qualification.

Yes. Modules passed in a course or postgraduate diploma in the same area are credited towards the advanced programme. Check the credit transfer policy when you enrol.

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