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YOLOv10 Computer Vision Performance Measurement for Agricultural Vacuum Seed Meters

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Big Data (BigData)

DOI: 10.1109/bigdata62323.2024.10825689

Authors: Manuel Blaser, Wesley Porter, Luke Fuhrer, Thirimachos Bourlai

Institution: University of Georgia

Language: English

Topic: Smart Agriculture and AI

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDGs: Zero hunger, Industry, innovation and infrastructure

Open Access status: closed

Funder: Georgia Peanut Commission

OpenAlex ID: W4406460473

FWCI:

Cites: 23

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Related to: 10