Assisting monofloral honey classification by automated pollen identification based on convolutional neural networks

Categorising monoflorality of honey by human experts is labour intensive and time-consuming, resulting in the urgent need for automated techniques to overcome the constraints of traditional method which involves manually sorting of pollen grains. This study constructs a comprehensive dataset of poll...

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Bibliographic Details
Main Authors: José Miguel Valiente, Juan José Martín-Osuna, Ana María Peral, Isabel Escriche
Format: Article
Language:English
Published: Elsevier 2025-12-01
Series:Ecological Informatics
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Online Access:http://www.sciencedirect.com/science/article/pii/S1574954125003498
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