Only 99€ for MSc or PHD students

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Meteorological Forecasting in Precision Agriculture: Build Your Smart Irrigation System

Learn to forecast evapotranspiration from weather data through time series analysis, optimize and implement irrigation timing on open-source devices for better precision agricultural decision-making.

20 hours to complete
Online course
€ 150
99€ for PHD or MSc students
Intermediate
Certificate of Completion
100% completion required

Coming soon

Teaser

Master time series analysis in precision agriculture through hands-on applications. Progress from understanding forecasting concepts to building a working irrigation system on an open-source device, making advanced agricultural technology accessible. 

Work with freely available meteorological data to forecast plant-water needs that impact farming decisions. You'll implement these forecasts in a system that automatically controls irrigation based on crop requirements. 

Through practical implementation, you'll adapt these skills to your agricultural context. While focusing on irrigation, the techniques you'll master apply to numerous agricultural challenges, becoming a foundation for creating applications beyond what we explore. 

Learn how these methods preserve soil properties while reducing water and fertilizer use—benefiting environmental sustainability and farm economics. Whether you're a farmer seeking solutions, a professional expanding your toolkit, or developing innovations, this course transforms weather data into better agricultural decisions for the future. 

Is this course for you?

  • Target Audience

    • Agricultural start-ups and contractors
    • Farmers seeking to learn water-efficient farming techniques
    • Precision agriculture professionals, such as agricultural engineers, farm managers, and irrigation specialists
    • Agricultural researchers, scientists and students
    • Agtech entrepreneurs
  • Knowledge prerequisites

    Knowing Python basics is a plus, but not a must.
  • Any other prerequisites

    1 GHz single-core processor  at least 2 GB of RAM10 GB of free disk spacebasic operating system like Windows 10 or 11, macOS (e.g. Sonoma), or Linux (e.g. Ubuntu, Fedora, Debian)good internet connection Google account 

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