Data annotation quality in smart farming industry

Data annotation quality in smart farming industry

Data has become paramount in modern agriculture industry, empowering precision farming practices, optimizing resource utilization, facilitating predictive analytics, and driving automation. However, the quality of data influences the usefulness of smart farming systems. Poor data quality specificall...

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Bibliographic Details
Main Authors:	Catarina Silva, Dinis Costa, Joana Costa, Bernardete Ribeiro
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2024-12-01
Series:	Production and Manufacturing Research: An Open Access Journal
Subjects:	Data quality smart farming industry machine learning data-centric learning dataset annotation
Online Access:	https://www.tandfonline.com/doi/10.1080/21693277.2024.2377253
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