Project
Machine Learning
Automated Weed Identification System for Lettuce Fields
Precision agriculture deep-learning system that distinguishes weeds from lettuce plants in real time and maps weed locations.
Project Overview
A precision-agriculture vision system that uses deep learning and camera feeds to differentiate weeds from lettuce crops in real time.
Generates spatial weed maps across the field to support targeted intervention and reduce unnecessary herbicide use.
Key Highlights
- Real-time crop-versus-weed segmentation using deep learning.
- Spatial weed mapping for targeted field intervention.
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