Prediction of the rice blast in Hubei Province based on machine learning and multi-dimensional meteorological features

DING Xiaoying; CAI Yanrong; HUANG Daye; WANG Beibei; YUAN Qinfeng; JIN Ruoheng; LIU Hong; CAO Chunxia

doi:10.11841/j.issn.1007-4333.2026.10.03

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Prediction of the rice blast in Hubei Province based on machine learning and multi-dimensional meteorological features

Updated：2026-10-09

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- Prediction of the rice blast in Hubei Province based on machine learning and multi-dimensional meteorological features
- “Progress has been made in the research on early warning of rice blast disease in Hubei Province. Experts have established an XGBoost prediction model combined with the SHAP interpretable framework, identifying 15 key meteorological characteristics and providing technical support for the formulation of disease prevention and control strategies.”
- DING Xiaoying , CAI Yanrong , HUANG Daye , WANG Beibei , YUAN Qinfeng , JIN Ruoheng , LIU Hong , CAO Chunxia
- Journal of China Agricultural University Vol. 31, Issue 10, Pages: 27-42(2026)
- Affiliations：
  1.Hubei Biopesticide Engineering Research Center， Wuhan， 430064， China
  2.School of Business Administration， Zhongnan University of Economics and Law， Wuhan， 430073， China
  3.Research Center for Green Development and Rural Revitalization， Guizhou University of Finance and Economics， Guiyang， 550025， China
- Author bio：
- Funds：
- DOI： 10.11841/j.issn.1007-4333.2026.10.03
  CLC：
- Accepted：14 July 2026 ，
- Accepted：
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Prediction of the rice blast in Hubei Province based on machine learning and multi-dimensional meteorological features

DOI： 10.11841/j.issn.1007-4333.2026.10.03

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