TerraSens (Technopole El Ghazala)
TunisiePublication : 13 janv. 2026
PFE 05 - Crop Monitoring & Yield Prediction (EO + AI)
- Stage
- 4-6 mois
- Présentiel
- Échéance : 27 janv. 2026
- Remote Sensing
- Data Science & Machine Learning
- Software Engineering (Python)
- Earth Observation
- Urban Agriculture / Environmental Sustainability
Description du poste
Context: Satellite imagery provides continuous information on crop development and condition, enabling large-scale agricultural monitoring.
Objectives:
- Monitor crop growth using vegetation indices
- Detect crop stress and anomalies
- Predict crop yield using AI models
Main Tasks:
- Process Sentinel-2 time series
- Extract vegetation indices and phenological metrics
- Train and evaluate yield prediction models
Required Skills:
- Remote sensing
- Machine learning
- Python
📧 Pour postuler: contact@terrasens.tn