Classification of lemon quality using hybrid model based on Stacked AutoEncoder and convolutional neural network

Agricultural product quality assessment is crucial for determining marketability and managing waste. It helps ensure that products meet industry standards and consumer expectations, leading to increased sales and reduced spoilage. It is important for growers, processors, and distributors to have sys...

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Vydáno v:	European food research & technology Ročník 249; číslo 6; s. 1655 - 1667
Hlavní autoři:	Yılmaz, Esra Kavalcı, Adem, Kemal, Kılıçarslan, Serhat, Aydın, Hatice Aktaş
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2023 Springer Nature B.V
Témata:	Agricultural products Agriculture Algorithms Analytical Chemistry Artificial intelligence Artificial neural networks Biotechnology Chemistry Chemistry and Materials Science Classification color data collection Datasets Deep learning Food Science Forestry industry Industry standards lemons Machine learning Marketability Morphology Neural networks Original Paper Quality assessment Quality control Spoilage Waste management wastes Lemon Quality Dimension Reduction SAE Deep Learning
ISSN:	1438-2377, 1438-2385
On-line přístup:	Získat plný text
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