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