19 July 2013 Use of artificial neural networks in the identification and classification of tomatoes
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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.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
M. Zaborowicz, M. Zaborowicz, P. Boniecki, P. Boniecki, K. Koszela, K. Koszela, J. Przybył, J. Przybył, Robert Mazur, Robert Mazur, S. Kujawa, S. Kujawa, K. Pilarski, 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); doi: 10.1117/12.2030696; https://doi.org/10.1117/12.2030696
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