Cargando…
Texture analysis and artificial neural networks for identification of cereals—case study: wheat, barley and rape seeds
The scope of the research comprises an analysis and evaluation of samples of rape, barley and wheat seeds. The experiments were carried out using the author’s original research object. The air flow velocities to transport seeds, were set at 15, 20 and 25 m s(−1). A database consisting of images was...
Autores principales: | Gierz, Ł., Przybył, K. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9652407/ https://www.ncbi.nlm.nih.gov/pubmed/36369273 http://dx.doi.org/10.1038/s41598-022-23838-x |
Ejemplares similares
-
Classification of Dried Strawberry by the Analysis of the Acoustic Sound with Artificial Neural Networks
por: Przybył, Krzysztof, et al.
Publicado: (2020) -
Oilseed Rape, Wheat, and Barley Grain Contamination as Affected by Different Glyphosate Usage
por: Kadžienė, Gražina, et al.
Publicado: (2023) -
The Use of Image Analysis to Detect Seed Contamination—A Case Study of Triticale
por: Gierz, Łukasz, et al.
Publicado: (2020) -
Resistance to Cereal Cyst Nematodes in Wheat and Barley: An Emphasis on Classical and Modern Approaches
por: Ali, Muhammad Amjad, et al.
Publicado: (2019) -
Neural Image Analysis and Electron Microscopy to Detect and Describe Selected Quality Factors of Fruit and Vegetable Spray-Dried Powders—Case Study: Chokeberry Powder
por: Przybył, Krzysztof, et al.
Publicado: (2019)