Universal Image Segmentation with Arbitrary Granularity for Efficient Pest Monitoring

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Detalles Bibliográficos
Publicado en:	Horticulturae vol. 11, no. 12 (2025), p. 1462-1481
Autor principal:	Minh, Dang L
Otros Autores:	Danish Sufyan, Fayaz Muhammad, Khan, Asma, Arzu, Gul E, Tightiz Lilia, Song Hyoung-Kyu, Moon Hyeonjoon
Publicado:	MDPI AG
Materias:	Language Plant protection Datasets Image resolution Optimization techniques Attention Architecture Monitoring systems Image processing Monitoring Machine learning Localization Deep learning Natural language Sustainable agriculture Agriculture Data augmentation Pests Image segmentation Linguistics Image quality Real time Natural language processing Morphology Semantics Environmental
Acceso en línea:	Citation/Abstract Full Text + Graphics Full Text - PDF
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