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.
Learning Outcomes
- Recognize the role of meteorological forecasting in enhancing precision agriculture
- Acquire meteorological data from open-source platforms
- Pre-processing meteorological data using different techniques
- Asses crop reference evapotranspiration (ET0) using meteorological data and Penman Monteith Algorithm
- Analyze time series based on trends, seasonality, and structural changes
- Design a temporal model to forecast ET0
- Apply a LSTM Neural Network for short term meteorological forecasting
- Implement temporal models in an open-source device for precision irrigation and apply CWR (crop water requirement) strategy