Neural networks in classification of dried vegetables

K. Koszela; K. Samborska; A. Duda; M. Szychta; Ł. Gierz; K. Przybył

doi:10.1117/12.2601948

30 June 2021 Neural networks in classification of dried vegetables

K. Koszela, K. Samborska, A. Duda, M. Szychta, Ł. Gierz, K. Przybył

Proceedings Volume 11878, Thirteenth International Conference on Digital Image Processing (ICDIP 2021); 118781R (2021) https://doi.org/10.1117/12.2601948
Event: Thirteenth International Conference on Digital Image Processing, 2021, Singapore, Singapore

Abstract

Application of more and more advanced information technologies in agriculture comprises broader and broader range of production processes, planning processes, monitoring and marketing processes. The applied information technologies are used in production technology of animals and crop production. Within the recent decades one can observe a dynamic development of research on artificial intelligence, and at the same time the development of research within the range of advisory systems (expertise), as well the use of methods of computer image analysis in the process of quality assessment/evaluation of vegetables and fruits. One of the areas of using computer image analysis is supporting decision making processes within the range of quality evaluation of agri-food products. The aim of the project was to use image analysis and artificial neural networks to classify quality of convective dried carrot.

Citation Download Citation

K. Koszela, K. Samborska, A. Duda, M. Szychta, Ł. Gierz, and K. Przybył "Neural networks in classification of dried vegetables", Proc. SPIE 11878, Thirteenth International Conference on Digital Image Processing (ICDIP 2021), 118781R (30 June 2021); https://doi.org/10.1117/12.2601948

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