Forestry insect disaster occurrence prediction method based on big data analysis

Abstract

The invention discloses a forestry insect disaster occurrence prediction method based on big data analysis, and belongs to the field of forest insect disaster prevention and control. The invention discloses a forestry insect disaster occurrence prediction method based on big data analysis. A forest region tree insect disease data analysis module and a forest region insect situation data analysis module are included. The forest region tree disease and pest data analysis module comprises unmanned aerial vehicle remote sensing camera shooting, computer image analysis, tree growth condition analysis and loss analysis; the forest pest situation data analysis module comprises pest collection, pest body shooting, pest body analysis and pesticide application analysis; the forest tree pest and disease damage data analysis module acquires forest tree growth condition images through the unmanned aerial vehicle to obtain pest and disease damage and loss conditions of trees in the forest, manual investigation and acquisition in the forest are not needed, the system is more convenient, and the coverage area is wider; the forest region pest data analysis module can perform targeted pesticide killing according to the types of insects, and the purpose of avoiding insect disasters is achieved.

Description

technical field [0001] The invention belongs to the technical field of insect disaster prevention and control in forest areas, and more particularly relates to a method for predicting the occurrence of forest insect disasters based on big data analysis. Background technique [0002] Insect pests of trees cause huge harm to the healthy growth of forestry. The economic losses caused by diseases and insect pests are very heavy in my country's forestry development every year. Therefore, the monitoring and prevention of pest disasters in forest areas is very important in my country's forestry development and ecological environment protection. one ring. [0003] In general, the prediction of insect disaster protection in forest areas adopts the method of walking random surveys in the forest area, and this manual prevention method often requires a lot of manpower, material resources and time costs, and manual monitoring and prevention generally cannot be carried out for the entire f...

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Problems solved by technology

[0003] General forest pest protection predictions use manual walks in the forest and random surveys, and this manual prevention method often requires a lot of manpower, material resources and time costs, and manual monitoring and prevention generally cannot be carried out on the entire forest area. Complete monitoring will lead to untimely detection of insect disasters, which will eventually cause huge economic losses. In addition, traditional forest pest prevention is to check the growth of trees, which cannot accurately confirm the insects that harm trees, resulting in the inability to timely treat symptoms. Missed the best time to prevent pests

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