Tea garden inspection system based on visual technology and inspection robot

Abstract

The invention discloses a tea garden inspection system based on a visual technology and an inspection robot. The tea garden inspection system comprises the inspection robot, an acquisition device, a control device and a visual system, the inspection robot is controlled by the control device to move; the acquisition device is mounted on the inspection robot, and the image acquisition module is used for acquiring tea pictures and air pictures; the visual system comprises a data set and a model recognition module, the data set comprises a tea disease and insect pest image data set and an air quality data set, and the model recognition module recognizes current air quality and tea disease and insect pests by comparing real-time images acquired by the image acquisition module with the data set. A supervised lightweight MobileNetV2 model is established, the recognition precision is high, the calculation amount is small, a series of preprocessing is carried out on images collected by a high-definition camera, and then accurate classification recognition is carried out; the device is low in cost, small in size and low in power consumption; and a mobile terminal App is adopted, so that a control instruction can be conveniently sent.

Description

technical field [0001] The invention belongs to the technical field of tea garden monitoring, and in particular relates to a tea garden inspection system based on vision technology and inspection robots. Background technique [0002] As an important economic crop in Chinese traditional agriculture, tea has become an indispensable force in the field of agricultural economy in my country, exerting huge social and economic value. According to data, in 2020, China's total tea production ranks first in the world and ranks second in the world's tea export volume. my country's tea garden area accounts for more than 60% of the world, tea production accounts for about 50% of the world, and the total scale of the tea industry exceeds 7,000 billion yuan. The cultivation of tea has high requirements for natural conditions, and digitalization and intelligence have undoubtedly become the development direction of China's tea industry. [0003] At present, the traditional meteorological mo...

AI Technical Summary

Problems solved by technology

The traditional target detection and classification model has a large amount of calculation and parameters, and requires high hardware computing power, so it is not suitable for application on mobile devices.

[0006] At the same time, the data collected by the mobile terminal needs to be displayed to the user in a visual form. The traditional display method is usually a super-large screen display, which is costly and the data parameters are relatively rigid.

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