Fruit-Cluster-Detection-and-Counting-using-Amiga-Robot-and-YOLO-Model github

Development of autonomous navigation and grape detection algorithm on Amiga Robot that uses RGB-D cameras, GPS, and LIDAR for autonomous navigation, detection, counting, and monitoring of fruit clusters in vineyards for improved yield estimation and management.

Open abioduneabioye/Fruit-Cluster-Detection-and-Counting-using-Amiga-Robot-and-YOLO-Model on github

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Language: Jupyter Notebook
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Stars / forks: 1 / 0
Created: 12 months ago
Last push: 12 months ago

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