4种常见蔬菜病害预测预报模型研究进展

Progress in Studies on Prediction Models for Diseases and Insect Pests of 4 Common Vegetables

在梳理常见蔬菜病害预测预报模型研究的基础上,总结了番茄、辣椒、茄子和黄瓜4种蔬菜病害预测模型的研究现状,梳理出预测模型类型有系统预测模型、数理统计回归模型和新型信息技术(高光谱技术模型、BP模型、叶绿素荧光光谱技术等)预测模型。总结出预测模型的4个建模依据原理和4种常见的建模方法,根据以上内容对预测模型进行评价并提出现有预测模型研究中存在的问题。最后对蔬菜病害预测模型的应用前景进行了概述,旨在对未来蔬菜病害预测模型的研究提供参考。

Based on the existing studies on prediction models for diseases and insect pests of 4 common vegetables （tomato, pepper, eggplant and cucumber）, this paper summarized the current situations of studies and then analyzed the principles and methods of prediction models for diseases and insect pests of 4 common vegetables. Typical prediction models include systematic prediction models, mathematical regression models and new information technological prediction models （such as Hyper-spectral Technology model, BP model, and chlorophyll fluores- cence technique model, etc）. Finally, it outlined the application prospect of prediction models for vegetable diseases and insets pests, in the hope of providing reference for future studies on prediction models of vegetable diseases and insets pests.