Intelligent agricultural management system based on narrowband Internet of Things

Abstract

The invention discloses an intelligent agricultural management system based on narrowband Internet of Things. The system comprises a monitoring subsystem, a control subsystem, a narrowband Internet of Things NB-IoT base station, a cloud platform and a mobile module. The monitoring subsystem is used for monitoring the agricultural environment, and after the related numerical value of the agricultural environment exceeds a specified range, early warning is initiated and uploaded to the cloud platform; the control subsystem is used for accurately controlling water use, pesticide application and fertilizer application; the cloud platform is used for receiving and storing the data uploaded by each module through the NB-IoT base station and sending a control instruction to the control module; the mobile module is used for monitoring an agricultural environment and controlling agricultural equipment at a mobile terminal by a user; and all the modules are integrated with NB-loT communication chips, and all the modules carry solar panels. The intelligent agricultural monitoring subsystem established based on the NB-IoT technology is wide in signal coverage range, simple in networking, low in cost and high in upper limit of the number of accessible modules.

Description

technical field [0001] The invention relates to the field of intelligent agriculture, in particular to an intelligent agricultural management system based on the narrowband Internet of Things. Background technique [0002] In traditional small-scale agricultural planting, farmland managers judge the growth status of crops through visual observation and experience, and then take corresponding effective measures according to the problems of crops, such as irrigation, pesticide application, fertilization, harvesting, etc. However, for modern large-scale collective planting methods, it is difficult for traditional methods to fully grasp the status of crops in the farmland. In recent years, the application of the Internet of Things in the agricultural environment and real-time monitoring and control of crops has gradually increased, such as pests and diseases. detection and removal, monitoring of crop nutritional status, soil moisture control, etc., but it still fails to monitor ...

AI Technical Summary

Problems solved by technology

[0002] In traditional small-scale agricultural planting, farmland managers judge the growth status of crops through visual observation and experience, and then take corresponding effective measures according to the problems of crops, such as irrigation, pesticide application, fertilization, harvesting, etc. However, for modern large-scale collective planting methods, it is difficult for traditional methods to fully grasp the status of crops in the farmland. In recent years, the application of the Internet of Things in the agricultural environment and real-time monitoring and control of crops has gradually increased, such as pests and diseases. detection and removal, monitoring of crop nutritional status, soil moisture control, etc., but it still fails to monitor and control the agriculture as a whole, and only completes the monitoring and control locally, making the application of the Internet of Things in agriculture incomplete, and The application of the Internet of Things in agriculture generally uses Zigbee, Bluetooth, WiFi and other technologies for data transmission. Among them, Zigbee technology is the most widely used. Although the application of Zigbee technology in agriculture can reduce power consumption and improve battery life, Zigbee itself has a short communication distance. , weak coverage and other problems, Zigbee nodes can only communicate within a range of tens of meters, and there must be no obstacles in the middle. Generally, Zigbee is connected to the gateway to achieve long-distance communication. Considering that the gateway is connected to the Zigbee The limit on the number of nodes and the network fluctuations, network delays, and network congestion that exist in network transmission require more gateways to ensure smooth communication. The increase in the number of gateways will inevitably increase power consumption. Therefore, in the prior art There are problems such as high power consumption and complex monitoring network. Now the society urgently needs a method that can reduce the power consumption and complexity of agricultural monitoring and control subsystems.

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