PollenNet: A novel architecture for high precision pollen grain classification through deep learning and explainable AI

Pollen grains play a critical role in environmental, agricultural, and allergy research despite their tiny dimensions. The accurate classification of pollen grains remains a significant challenge, mainly attributable to their intricate structures and the extensive diversity of species. Traditional m...

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Detalles Bibliográficos

Principais autores:	F M Javed Mehedi Shamrat, Mohd Yamani Idna Idris, Xujuan Zhou, Majdi Khalid, Sharmin Sharmin, Zeseya Sharmin, Kawsar Ahmed, Mohammad Ali Moni
Formato:	Artigo
Idioma:	Inglês
Publicado:	Elsevier 2024-10-01
Series:	Heliyon
Assuntos:	Pollen grain classification Image processing Deep learning PollenNet model Explainable AI
Acceso en liña:	http://www.sciencedirect.com/science/article/pii/S2405844024146270
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