The Use of Image Analysis to Detect Seed Contamination-A Case Study of Triticale.

Gierz, Lukasz; Przybyl, Krzysztof; Koszela, Krzysztof; Duda, Adamina; Ostrowicz, Witold

Gierz, Lukasz; Przybyl, Krzysztof; Koszela, Krzysztof; Duda, Adamina; Ostrowicz, Witold.

Afiliación

Gierz L; Institute of Machine Design, Faculty of Mechanical Engineering, Poznan University of Technology, Piotrowo 3, 60-965 Poznan, Poland.
Przybyl K; Department of Food Technology of Plant Origin, Faculty of Food Sciences and Nutrition, Poznan University of Life Sciences, Wojska Polskiego 31, 60-624 Poznan, Poland.
Koszela K; Department of Biosystems Engineering, Poznan University of Life Sciences, Wojska Polskiego 50, 60-625 Poznan, Poland.
Duda A; Department of Food Technology of Plant Origin, Faculty of Food Sciences and Nutrition, Poznan University of Life Sciences, Wojska Polskiego 31, 60-624 Poznan, Poland.
Ostrowicz W; Institute of Machine Design, Faculty of Mechanical Engineering, Poznan University of Technology, Piotrowo 3, 60-965 Poznan, Poland.

Sensors (Basel) ; 21(1)2020 Dec 29.

Article en En | MEDLINE | ID: mdl-33383684

Palabras clave

artificial neural networks; entropy; image analysis and processing; triticale

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2020 Tipo del documento: Article País de afiliación: Polonia Pais de publicación: Suiza

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