Crop pest intelligent identification method

Abstract

The invention belongs to the technical field of disease and insect pest identification, and discloses a crop disease and insect pest intelligent identification method. The method comprises the steps:S1, setting a region range, and obtaining basic information of crops in multiple time periods in the region range; S2, acquiring image data and meteorological data in a regional range; S3, acquiring first feature information reflecting the physiological features of the crops from the image data; S4, judging whether the physiological characteristics of the crops in the area range are normal or notin the current time period, and if yes, ending the process; if not, entering the step S5; S5, identifying a suspected area with abnormal physiological features, and generating a crop resource image; S6, acquiring second feature information reflecting the physiological features of the crops; S7, comparing and judging whether the physiological characteristics of the crops in the suspected area are normal or not, and if yes, ending the process; if not, entering the step S8; and S8, making the final judgment manually. The method is low in cost and accurate in judgment.

Description

technical field [0001] The invention relates to the technical field of identification of diseases and insect pests, and specifically relates to an intelligent identification method for agricultural diseases and insect pests. Background technique [0002] The description of the background technology of the present invention belongs to the relevant technology related to the present invention, and is only used to illustrate and facilitate the understanding of the content of the present invention. prior art on the filing date. [0003] In recent years, the scale of protected planting in my country has been increasing. In the surrounding areas of large and medium-sized cities, protected planting has become the main cultivation mode of vegetables, fruits and flowers. Due to the low temperature and high humidity in the shed, insufficient sunlight, and relatively fixed soil positions, diseased host plants are perennial There are other reasons. The occurrence of facility planting dis...

AI Technical Summary

Problems solved by technology

[0003] In recent years, the scale of protected planting in my country has been increasing. In the surrounding areas of large and medium-sized cities, protected planting has become the main cultivation mode of vegetables, fruits and flowers. Due to the low temperature and high humidity in the shed, insufficient sunlight, and relatively fixed soil positions, diseased host plants perennial There are other reasons. The occurrence of facility planting diseases has the characteristics of fast flow, heavy damage, long-term damage, and large losses. Especially with the increase of greenhouse cultivation years, pests and diseases are becoming more and more serious. It has become an urgent problem for the majority of growers to solve. , in the prior art, a remote diagnosis application system has been developed for pests and diseases, which realizes automatic identification based on images of pests and diseases, which alleviates the current problems of pest diagnosis and control to a certain extent, but there is still room for improvement. When a problem is found manually, it is necessary to take relevant pictures and conduct a remote consultation. There is a situation that the prevention and control is not timely

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