Design and Implementation of Crop Automatic Diagnosis and Treatment System Based on Internet of Things

Abstract

Abstract This paper designs a smart agriculture Internet of Things system which combines crop disease detection with automatic diagnosis and treatment, and provides support for subsequent research on crop disease detection and control. The smart agricultural Internet of Things system uses TCS3200 colour sensor to identify leaf disease characteristics; colour sensor sends the data back; This system compares it with the recorded plant identification database, and carries out small-scale sprinkler irrigation diagnosis and treatment through valve irrigation system. The Internet of Things system consisting of STM32L431 single chip microcomputer, MG811 CO2sensor, BH1750 illumination sensor and DHT11 temperature and humidity sensor monitors environmental data, which is uploaded to the cloud by BC35 module through NB-IoT protocol and can be viewed by users on the display screen. Users can adjust the exhaust system, lighting system and humidification system in the system through the cloud or mobile phone to improve the environment and alleviate crop diseases. The experimental results show that the intelligent agricultural Internet of Things system designed in this paper has achieved the initial goal, and can roughly judge the disease types of plants by leaf colour, which has great commercial application value.