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