Advanced Preprocessing Technique for Tomato Imagery in Gravimetric Analysis Applied to Robotic Harvesting

In this study, we improve the efficiency of automated tomato harvesting by integrating deep learning into state-of-the-art image processing techniques, which improves the accuracy and efficiency of detection algorithms for robotic systems. We develop a hybrid model that combines convolutional neural...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Nail Beisekenov, Hideo Hasegawa
Format:	Article
Language:	English
Published:	MDPI AG 2024-01-01
Subjects:	convolutional neural networks image-preprocessing techniques tomato centroid localization machine learning precision agriculture technologies image analysis
Online Access:	https://www.mdpi.com/2076-3417/14/2/511