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DeepFruits – Intelligent harvesting

Future Lab

February 6, 2019

15:00 - 15:30

Hall 26

An autonomous robotic agricultural platform is a new approach to crop rotation estimation and automated harvesting. The key element of such a neural network is an accurate, fast and reliable fruit recognition system.
Recent work in deep neuronal networks has led to the development of a state-of-the-art object detector, which takes over the task of fruit recognition. This detector is called Faster Region-based CNN (Faster R-CNN).  Two types of images are used and the information is combined with each other: RGB colour images (RGB) and near infrared images (NIR).


Stephanie Zaar, Editor, Fruchthandel Magazin, Fruitnet Media International GmbH


Prof. Dr. Chris McCool, University of Bonn