A novel detection and segmentation system for eichhornia crassipes growth rate using region vision transformer-based adaptive Yolo with Unet

Eichhornia crassipes has an extreme rapid growth rate, and has capability to doubling its population in approximately two to three weeks under optimal conditions, with biomass accumulation. It is required to protect the safety of water resources with rigorous ecological environment by detecting Eich...

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Vydáno v:	Aquacultural engineering Ročník 112; s. 102659
Hlavní autoři:	Eliza, Ajitha, Baskaran, Diwan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 15.01.2026
Témata:	Eichhornia crassipes Growth rate identification Improved crayfish optimization algorithm Joint detection and segmentation model Region vision transformer-based adaptive Yolo with Unet Satellite imagery Satellite imagery Eichhornia crassipes Region vision transformer-based adaptive Yolo with Unet Improved crayfish optimization algorithm Growth rate identification Joint detection and segmentation model
ISSN:	0144-8609
On-line přístup:	Získat plný text
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