Tobacco main pest and disease damage prediction method based on big data

Abstract

The invention discloses a tobacco main pest and disease damage prediction method based on big data. The method comprises the following steps: S1, carrying out pest and disease damage data acquisition;s2, analyzing pest and disease damage data; s3, modeling and optimizing a prediction model; s4, carrying out pest and disease damage prediction and verification. According to the method, data acquisition and prediction factor extraction are carried out on multiple influence factors of diseases and insect pests of tobacco leaves based on big data acquisition, prediction of the diseases and insectpests of the tobacco leaves is carried out by utilizing an LSTM neural network through building a model, a prevention and control direction is provided for growers, and losses caused by the diseases and insect pests to tobacco planting are reduced; meanwhile, the prediction model is subjected to accuracy calculation according to the collected actual value and prediction value, the prediction modelcan be evaluated, and data support is provided for optimization of the prediction model.

Description

technical field [0001] The invention relates to the field of prediction of plant diseases and insect pests, in particular to a method for predicting major tobacco diseases and insect pests based on big data. Background technique [0002] Flue-cured tobacco is a special crop for the purpose of harvesting leaves, and the selection and use of pesticides has received unprecedented attention and restrictions. In the tobacco-growing area of ​​Kunming, with the changes in seedling raising methods and cultivation models, as well as the adjustment of the structure of rural economic crops, the main diseases and insect pests that harm tobacco have also undergone tremendous changes. Before 2010, the main hazards to local tobacco were "five diseases and four insects" (diseases: black shank disease, cucumber mosaic disease, tobacco mosaic disease, wildfire disease, red spot disease; insect pests: cutworm, scarab, tobacco aphid, tobacco Caterpillar) mainly. In the past two years, it has ...

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Problems solved by technology

[0003] At present, the traditional way of preventing and controlling tobacco diseases and insect pests requires manual inspection of crop leaves or other diseased locations to see if there is any disease and insect infestation. Extremely poor, many diseases and insect pests are preventable but not curable, missed the best application time, resulting in no timely application of pesticides to crops, affecting crop yields, and bringing a certain degree of loss to growers

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