Use of artificial neural networks in the identification and classification of tomatoes

M. Zaborowicz; P. Boniecki; K. Koszela; J. Przybył; Robert Mazur; S. Kujawa; K. Pilarski

doi:10.1117/12.2030696

19 July 2013 Use of artificial neural networks in the identification and classification of tomatoes

M. Zaborowicz, P. Boniecki, K. Koszela, J. Przybył, Robert Mazur, S. Kujawa, K. Pilarski

Proceedings Volume 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013); 88782R (2013) https://doi.org/10.1117/12.2030696
Event: Fifth International Conference on Digital Image Processing, 2013, Beijing, China

Abstract

The project aimed to produce a classification model of neural network that would allow automatic evaluate quality of greenhouse tomatoes. The project used computer image analysis and artificial neural networks. Authors based on the analysis of biological material selected set of features that are describing the physical parameters allowing the quality class identification. Image analysis of tomatoes digital photographs samples allowed to choose characteristics features. Obtained characteristics from the images were used as learning data for artificial neural network.

Citation Download Citation

M. Zaborowicz, P. Boniecki, K. Koszela, J. Przybył, Robert Mazur, S. Kujawa, and K. Pilarski "Use of artificial neural networks in the identification and classification of tomatoes", Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 88782R (19 July 2013); https://doi.org/10.1117/12.2030696

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