TerraSens (Technopole El Ghazala)
TunisiePublication : 13 janv. 2026
Climate, Water & Agriculture - PFE 03 - Smart Irrigation System with AI & Soil Moisture Modeling
- Stage
- 4-6 mois
- Hybride
- Échéance : 27 janv. 2026
- Hydrology
- Data analysis and process management
- Software Engineering (Python)
- Data Science & Machine Learning
Description du poste
Context Efficient irrigation management requires accurate estimation of crop water needs and real-time monitoring of soil moisture under variable climate conditions.
Objectives
- Estimate crop water requirements using ET₀ and crop coefficients
- Integrate soil moisture sensor data
- Develop AI-based irrigation recommendation models
Main Tasks
- Compute ET₀ and dynamic crop coefficients
- Process soil moisture measurements
- Train and test irrigation decision models
Required Skills
- Hydrology
- Data analysis
- Python
- Machine learning