A crop disease and insect pest identification system and identification method based on edge computing

Abstract

The invention discloses an edge computing-based crop disease and insect pest identification system and its identification method, comprising: an image conversion module, a signal anti-interference module, a signal adjustment module, an A / D conversion module, a control module, a storage module, a wireless transmission module, The wireless receiving module, the image conversion module converts the received image acquisition signal into an electrical signal; the signal anti-interference module filters the interference signal generated in the conversion; the signal adjustment module performs the signal detection by the image acquisition component. adjustment; the A / D conversion module converts the analog signal into a digital signal; the control module obtains the detection signal, so that the next-level module operates; the storage module stores the collected image information; the wireless transmission module will The received image signal is converted into a wireless signal, thereby realizing remote monitoring; the wireless receiving module receives the transmission of the digital image, thereby realizing the fast transmission of the detection signal and reducing the calculation delay.

Description

technical field [0001] The invention relates to the field of crop disease and insect pest identification, in particular to an edge computing-based crop disease and insect pest identification system and an identification method thereof. Background technique [0002] Crop diseases and insect pests are one of the main agricultural disasters in my country. They have the characteristics of many types, great influence, and frequent outbreaks. The scope and severity of their occurrence often cause heavy losses to my country's national economy, especially agricultural production. With the advent of the Internet era, the amount of data generated by network edge devices has increased rapidly, which has brought higher data transmission bandwidth requirements. At the same time, new applications have also put forward higher requirements for real-time data processing. Traditional cloud computing models are no longer effective. response. [0003] The outbreak of crop diseases and insect pes...

AI Technical Summary

Problems solved by technology

[0002] Crop diseases and insect pests are one of the main agricultural disasters in my country. It has the characteristics of many types, great impact, and frequent outbreaks. The scope and severity of its occurrence and severity often cause great losses to my country's national economy, especially agricultural production. With the advent of the Internet era, the amount of data generated by network edge devices has increased rapidly, which has brought about higher data transmission bandwidth requirements. At the same time, new applications have also put forward higher requirements for real-time data processing. The traditional cloud computing model is no longer effective. response

[0003] However, the outbreak of crop diseases and insect pests often means large-scale reduction in production and quality, resulting in irreparable economic losses. The current crop pest detection system uses a fixed-installation image acquisition system to detect crops at all times, but in the face of large-scale crop pest detection, it will increase the operating cost and installation cost of the detection system, and occupy land area; while the traditional calculation The method is to transmit the detected data to the remote computing system for calculation and processing, thereby increasing the computing system running time, increasing the bandwidth of output transmission, and increasing the load of cloud computing

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