Artificial intelligence-based classification of pollen grains using attention-guided pollen features aggregation network

Visual classification of pollen grains is crucial for various agricultural applications, particularly for the protection, monitoring, and tracking of flora to preserve the biome and maintain the quality of honey-based products. Traditionally, pollen grain classification has been performed by trained...

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Bibliographic Details
Main Authors: Tahir Mahmood, Jiho Choi, Kang Ryoung Park
Format: Article
Language:English
Published: Elsevier 2023-02-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1319157823000216