A Meteorological Data Quality Control Framework for Tea Plantations Using Association Rules Mined from ERA5 Reanalysis Data

Meteorological data from automatic weather stations (AWS) in tea plantations is critical for agricultural management, but is often compromised by sensor errors and physical implausibilities that traditional quality control (QC) methods fail to detect. This study proposes a novel, meteorologically in...

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Manylion Llyfryddiaeth

Prif Awduron:	Zhongqiu Zhang, Pingping Li, Jizhang Wang
Fformat:	Artigo
Iaith:	Inglês
Cyhoeddwyd:	MDPI AG 2026-01-01
Cyfres:	Agriculture
Pynciau:	meteorological data quality control association rule mining Apriori algorithm tea plantation ERA5 reanalysis agricultural meteorology
Mynediad Ar-lein:	https://www.mdpi.com/2077-0472/16/2/226
Tagiau:	Ychwanegu Tag Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!