基于数字模型的烟草主要病害预测技术研究进展

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

随着现代数字技术的发展,数字模型预测技术正成为破解烟草主要病害预防的关键,目前在烟草病害监测预警方面已有一些专用的软件与技术,但由于烟草生产种植的复杂性和地区环境条件的差异性,如何提高数据的精准度仍是预测工作的重难点.因此本文综述了近年来科研工作者在烟草主要病害预测模型中主导预报因子的筛选及数据处理方法的研究进展,提出了烟草病害预测模型面临的主要挑战,同时指出烟草病害监测信息化的未来发展趋势,以期为烟草病害防控数字化转型提供思路和方法.

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.