AI-Based Weed Detection for Precision Herbicide Targeting
Entreprise partenaire — révélée une fois votre stage confirmé
Durée
2 mois
Modalité
Présentiel
Localisation
London, United Kingdom
Compétences recherchées
Sujet du stage
Spraying an entire field with herbicide wastes chemicals and money on the crop rows that don't need it — this project detects exactly where the weeds are, so treatment can be targeted instead of blanket-applied. What you'll work on : • Train/adapt an object detection model distinguishing weeds from crop plants in field images • Generate a precision treatment map highlighting exactly where weeds were detected • Estimate potential herbicide savings versus blanket spraying What we're looking for : • Solid working knowledge of React/Next.js expected. • Familiarity with Pretrained Object Detection (YOLOv8) is a plus. • Attention to detail and clear documentation habits. What you'll get : • Follow-up from a computer-vision-focused technical mentor, based on a progress report you send in • A model tested on real data, not a toy dataset • Certificate awarded according to delivered work • Strong candidates may be recommended for pre-hire or job opportunities
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