Smart Farming and IoT in Agriculture

Language: English
Location: Munich, Online
Duration: 12 days in 11 weeks
Start: Fall 2026
Cost: 3,245 EUR
ECTS: 5
Gain a profound understanding of Smart Farming technologies and the digital transformation of agriculture.

Digital transformation is shaping agriculture. Professionals with a sound understanding of the agricultural sector and the underlying technologies are more critical than ever. Our certificate program makes it possible to differentiate between precision, smart, and digital farming. We also provide an in-depth overview thanks to a focus on a common language, precise terminology, and a solid theoretical foundation. At the same time, you will be provided with the necessary skillset, practical exercises, and in-depth insights into emerging technologies.

Discover the innovative future of agriculture. Learn more about our Smart Farming certification program here or reach out to our contact person.

With this certificate program you can earn 5 ECTS that are applicable to the Executive MBA programs at the Technical University of Munich. Please take note of more information in the detail section.

Quick Info

Here you will find all the information you need for this course.

Benefits

Our Smart Farming certification program not only provides you with comprehensive expertise but also allows for direct application within the dynamically evolving agricultural technology industry.

01

1

Comprehensive Understanding

The course provides a profound understanding of Precision, Smart, and Digital Farming. You develop a clear understanding of the fundamental technologies of agricultural digitization.

02

2

Top instructors from TU Munich

Learn from our highly qualified university instructors at the Chair of Agricultural Systems Engineering how the future of the agricultural sector will unfold—both through a solid theoretical foundation and practical exercises & peer coaching.

03

3

Blended Learning Course Format

You gain theoretical knowledge and practical experience with the latest technologies on-site. The presence phase also fosters valuable networking.

Program Overview

You can find all the important information about the certificate program here. Below you can find out the objectives of the program, the exact details of the process, what you will learn and which lecturers will teach you the content.
In our commitment to continuously support professionals throughout their careers, we place a strong emphasis on research-based further education. This course will equip you with the skills to shape agriculture in line with the demands of digital transformation. Emphasizing clear communication, precise terminology, and a solid theoretical foundation, the course provides a comprehensive overview. Focusing on the theme of IoT in agriculture, you will develop an agricultural IoT system from sensor integration to dashboard creation. Engaging with essential technologies fosters a deeper understanding of the current and future possibilities, as well as the practical limitations of these technologies in agriculture.

Program:

Smart Farming and IoT in Agriculture

Target audience:

People who are interested in how sounds propagate from a source via a channel to a receiver.

Academic responsibility:

Prof. Dr. Heinz Bernhardt, Agricultural Systems Engineering, TUM School of Life Sciences

Format & Timing:

Part-time, blocks, presence & digital

Study location:

Online and on-site (Munich)

Language:

English

Date:

Fall 2025

Admission requirements:

Participants should have a basic understanding of agriculture. They should have access to a Windows PC with admin rights and a smartphone.

Graduation:

After successful completion of the final exam, participants will receive a certificate from the Technical University of Munich.

ECTS:

5 ECTS

Credibility:

You can have this program credited with 5 ECTS points as an elective module for the Executive MBA programs of the Technical University of Munich. In addition to the Executive fees, there may be further costs for the program. Please contact the program manager directly.

Participation fee:

3,245 EUR*

Discounts:

10% discount for TUM alumni and members or employees of our strategic cooperation partners.
*Based on our experience, the German tax benefits help many participants self-finance their education, as these can be worth up to 50% of tuition fees and program-related travel costs. Please consult your tax advisor for more details. For participants of our programs residing outside Germany this might be applicable, please check the situation with the local tax authorities in your country of residence.  
Prof. Dr. Heinz Bernhardt,
Agricultural Systems Engineering,
TUM School of Life Sciences
Maximilian Treiber,
AGCO Corporation
Simon Grebner,
Agricultural Systems Engineering,
TUM School of Life Sciences
Christina Sebald,
Agricultural Systems Engineering,
TUM School of Life Sciences
Prof. Dr.-Ing. Dominik Merli,
IT Security,
Technical University of Munich

Module 1: Kick-off weekend in Freising

Day 1

  • Buzzwords of Smart Farming
  • Introduction into IoT
  • UAV (Unmanned Aerial Vehicles) in agriculture (fly drones)

Day 2

  • GNSS (Global Navigation Satellite System)
  • FMIS & application maps

Day 3

  • field trip

Module 2: Online Live Sessions

Block 1

  • GPS & Automatic Guidance Systems
  • Terminal Simulator
  • Farm Management Information Systems
  • Robotics

Block 2

  • Introduction to IoT & IoT Stack
  • Computer Hardware for Beginners
  • Binary Systems & Exercise
  • Sensors/Microcontrollers/BUS-Systems
  • Sensor Nodes
  • Integration of Sensor & your Arduino Board

Block 3

  • Connectivity

Block 4

  • Middleware
  • Middleware Exercise
  • Server Installation & Configuration

Block 5

  • UI, UX, Visualization & Dashboards

Module 3: Graduation weekend in Freising

Day 1

  • Variable rate application in practice (drive real tractors)
  • Telematics & IoT Ecosystems
  • IoT project presentations

Day 2 & 3

  • field trip

Testimonials

  • The goal of the course and our greatest concern is therefore to make this knowledge about Smart Farming and the digital transformation possibilities of agriculture available to all interested parties in a compact form – based on cutting-edge research findings, practice- as well as future-oriented.

    Josef Bauerdick
    Co-initiator certificate program Smart Farming and IoT in Agriculture
  • The goal must be to make agriculture more efficient, more resilient, more resource-efficient and even more sustainable. Technologies offer us powerful tools for this, but can only be successful in the long-term, if they are seamlessly integrated into everyday work.

    Maximilian Treiber
    Chair of Agricultural Systems Engineering, Technical University Munich
  • The course is for the Ag professionals from the Ag professionals. It is a perfect environment not just to stay up to date but to generate new ideas with sparring partners on the same level, from the same industry but slightly different disciplines, opening up completely new horizons. I enjoyed every second of it!

    Milica Perisic
    Graduate Smart Farming & IoT in Agriculture (2022)

Partners

NEXT Farming – Digital farming solutions such as agricultural software, products for farm and field monitoring, or complementary services.
geo-konzept – Satellite navigation technologies, GIS, sensors, and robotics for agriculture, forestry, and surface mining (quarrying).
BayWa – International conglomerate operating in the fields of agriculture, construction, energy, and digitization.ung
  • Your contact

    Berk Baltaci
    Program Manager
    contact

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Interview: Smart farming and the future of agriculture

Maximilian Treiber and Josef Bauerdick conduct research and teach at the Chair of Agricultural Systems Engineering at the Technical University of Munich. Starting in November 2021, the two will lead the newly developed certificate program “Smart Farming and IoT in Agriculture” at the TUM Institute for LifeLong Learning. In this interview, they explain the relevance of Smart Farming, the potential of IoT to change the entire industry, and what the agricultural sector of the future will look like.