Species-level detection of thrips and whiteflies on yellow sticky traps using YOLO-based deep learning detection models

As of today, pest insects such as thrips and whiteflies cause the loss of 20% - 40% of the global agricultural yield. To reduce chemical pesticide use while maintaining high-quality horticultural standards, early detection of pest infestations is essential. Although AI-assisted pest monitoring syste...

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Ngā taipitopito rārangi puna kōrero

Ngā kaituhi matua:	Broes Laekeman, Jochem Bonte, Wannes Dermauw, Annelies Christiaens, Bruno Gobin, Johan Van Huylenbroeck, Emmy Dhooghe, Peter Lootens
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	Frontiers Media S.A. 2025-11-01
Rangatū:	Frontiers in Plant Science
Ngā marau:	automated pest monitoring integrated pest management (IPM) artificial intelligence (AI) smart traps Frankliniella occidentalis Echinothrips americanus
Urunga tuihono:	https://www.frontiersin.org/articles/10.3389/fpls.2025.1668795/full
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!