Progress of Research on the Prediction of Major Tobacco Diseases Based on Numerical Models

CHEN Hai-tao; WANG Li-xiang; RAN Yu-ao; SUN Jia-zhao

doi:10.13718/j.cnki.zwyx.2023.01.003

2023 Volume 2 Issue 1

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CHEN Hai-tao, WANG Li-xiang, RAN Yu-ao, et al. Progress of Research on the Prediction of Major Tobacco Diseases Based on Numerical Models[J]. PLANT HEALTH AND MEDICINE, 2023, (1): 18-24. doi: 10.13718/j.cnki.zwyx.2023.01.003

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CHEN Hai-tao, WANG Li-xiang, RAN Yu-ao, et al. Progress of Research on the Prediction of Major Tobacco Diseases Based on Numerical Models[J]. PLANT HEALTH AND MEDICINE, 2023, (1): 18-24. doi: 10.13718/j.cnki.zwyx.2023.01.003

Progress of Research on the Prediction of Major Tobacco Diseases Based on Numerical Models

1. Chongqing Tobacco Science Research Institute, Chongqing 400020, China;
2. Wushang Branch of Chongqing Tobacco Company, Chongqing 404700, China;
3. School of Plant Protection, Southwest University, Chongqing 400715, China

More Information

Received Date: 02/12/2022
MSC: S435.72

Abstract

With the development of modern digital technology, digital model prediction technology is becoming the key to decipher the prevention of major tobacco diseases. There are some special software and technology in tobacco disease monitoring and early warning, but due to the complexity of tobacco production and cultivation, and the differences in regional environmental conditions, how to strengthen the accuracy of data is still a major difficulty in prediction work. Therefore, this paper reviews the progress of research on the screening of dominant forecast factors and data processing methods in tobacco disease prediction models, and the main challenges faced by tobacco disease prediction models in recent years, also points out the future development trend of tobacco disease monitoring information technology, in order to provide ideas and methodological references for the digitalized transformation of tobacco disease prevention and control.
- tobacco disease,
- informatization,
- predictors,
- development trend

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Progress of Research on the Prediction of Major Tobacco Diseases Based on Numerical Models

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