Quality Evaluation of Potato Tubers Using Neural Image Analysis Method
Andrzej Przybylak,
Radosław Kozłowski,
Ewa Osuch,
Andrzej Osuch,
Piotr Rybacki and
Przemysław Przygodziński
Additional contact information
Andrzej Przybylak: Institute of Biosystems Engineering, Faculty of Agronomy and Bioengineering, Poznan University of Life Sciences, ul. Wojska Polskiego 28, 60-637 Poznan, Poland
Radosław Kozłowski: Institute of Biosystems Engineering, Faculty of Agronomy and Bioengineering, Poznan University of Life Sciences, ul. Wojska Polskiego 28, 60-637 Poznan, Poland
Ewa Osuch: Institute of Biosystems Engineering, Faculty of Agronomy and Bioengineering, Poznan University of Life Sciences, ul. Wojska Polskiego 28, 60-637 Poznan, Poland
Andrzej Osuch: Institute of Biosystems Engineering, Faculty of Agronomy and Bioengineering, Poznan University of Life Sciences, ul. Wojska Polskiego 28, 60-637 Poznan, Poland
Piotr Rybacki: Institute of Biosystems Engineering, Faculty of Agronomy and Bioengineering, Poznan University of Life Sciences, ul. Wojska Polskiego 28, 60-637 Poznan, Poland
Przemysław Przygodziński: Institute of Biosystems Engineering, Faculty of Agronomy and Bioengineering, Poznan University of Life Sciences, ul. Wojska Polskiego 28, 60-637 Poznan, Poland
Agriculture, 2020, vol. 10, issue 4, 1-11
Abstract:
This paper describes the research aimed at developing an effective quality assessment method for potato tubers using neural image analysis techniques. Nowadays, the methods used to identify damage and diseases are time-consuming, require specialized knowledge, and often rely on subjective judgment. This study showed the use of the developed neural model as a tool supporting the evaluation of potato tubers during the sorting process in the storage room.
Keywords: artificial neural network; image analysis; potato tubers quality; neural classification (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (2)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jagris:v:10:y:2020:i:4:p:112-:d:341404
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