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| article pdf uploaded. | 15 January 2026 14:49 CET | Version of Record | https://www.mdpi.com/2077-0472/16/2/226/pdf |
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| Action | Date | Notes | Link |
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| article pdf uploaded. | 15 January 2026 14:49 CET | Version of Record | https://www.mdpi.com/2077-0472/16/2/226/pdf |
Zhang, Z.; Li, P.; Wang, J. A Meteorological Data Quality Control Framework for Tea Plantations Using Association Rules Mined from ERA5 Reanalysis Data. Agriculture 2026, 16, 226. https://doi.org/10.3390/agriculture16020226
Zhang Z, Li P, Wang J. A Meteorological Data Quality Control Framework for Tea Plantations Using Association Rules Mined from ERA5 Reanalysis Data. Agriculture. 2026; 16(2):226. https://doi.org/10.3390/agriculture16020226
Chicago/Turabian StyleZhang, Zhongqiu, Pingping Li, and Jizhang Wang. 2026. "A Meteorological Data Quality Control Framework for Tea Plantations Using Association Rules Mined from ERA5 Reanalysis Data" Agriculture 16, no. 2: 226. https://doi.org/10.3390/agriculture16020226
APA StyleZhang, Z., Li, P., & Wang, J. (2026). A Meteorological Data Quality Control Framework for Tea Plantations Using Association Rules Mined from ERA5 Reanalysis Data. Agriculture, 16(2), 226. https://doi.org/10.3390/agriculture16020226