Crop Disease Detection from Drone Imagery Using Computer Vision

Entreprise partenaire — révélée une fois votre stage confirmé

Compétences recherchées

Sujet du stage

Detecting crop disease early, straight from drone footage, can save an entire harvest — this project trains and evaluates a computer vision model to do exactly that. What you'll work on : • Train a computer vision model to identify common crop diseases from aerial imagery • Evaluate detection accuracy on a held-out set of field images • Build a simple visualization overlaying detections on a field map What we're looking for : • Solid working knowledge of React Native or Flutter expected. • Familiarity with Pretrained CV Models (Hugging Face/PyTorch) is a plus. • Attention to detail and clear documentation habits. What you'll get : • A technical mentor available for questions, with follow-up based on your progress report • A real use case to add to your CV • Certificate issued based on how far the project is completed • Most engaged candidates may be recommended for pre-hire or job opportunities