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PFE 05 - Crop Monitoring & Yield Prediction (EO + AI)

TerraSens (Technopole El Ghazala)

StageSur site4 à 6 moisDate limite : 27 janv. 2026
Remote SensingData Science & Machine LearningSoftware Engineering (Python)Earth ObservationUrban Agriculture / Environmental Sustainability

Postuler

Description

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