Modeling the dynamic changes in Plasmopara viticola sporangia concentration based on LSTM and understanding the impact of relative factor variability-Reference-Cited by-同舟云学术

Modeling the dynamic changes in Plasmopara viticola sporangia concentration based on LSTM and understanding the impact of relative factor variability

Published:2023-05-30 Issue:6 Volume:67 Page:993-1002
ISSN:0020-7128
Container-title:International Journal of Biometeorology
language:en
Short-container-title:Int J Biometeorol

Author:

Hui Wang,Shuyi Yu,Wei Zhang,Junbo Peng,Haiyun Tan,Chunhao Liang,Jiye Yan

Funder

Young Talent Support Project of Beijing Association for Science and Technology

the outstanding Scientist Grant of Beijing Academy of Agriculture and Forestry Sciences

the China Agriculture Research System of MOF and MARA

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Atmospheric Science,Ecology

Link

https://link.springer.com/content/pdf/10.1007/s00484-022-02419-7.pdf

Reference31 articles.

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3. Bregaglio S, Donatelli M, Confalonieri R, Acutis M, Orlandini S (2011) Multi metric evaluation of leaf wetness models for large-area application of plant disease models. Agric For Meteorol 151:1163–1172. https://doi.org/10.1016/j.agrformet.2011.04.003

4. Brischetto C, Bove F, Fedele G, Rossi V (2021) A weather-driven model for predicting infections of grapevines by sporangia of Plasmoparaviticola. Front Plant Sci 12:636607. https://doi.org/10.3389/fpls.2021.636607

5. Burns P, Timmermann V, Yearsley JM (2022) Meteorological factors associated with the timing and abundance of Hymenoscyphus fraxineus spore release. Int J Biometeorol 66:493–506. https://doi.org/10.1007/s00484-021-02211-z

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