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The smart agriculture system is based on the STM32 microcontroller as the system core, and uses temperature and humidity sensors, soil moisture detection modules, carbon dioxide modules, and photoresistors to achieve intelligent detection of the agricultural environment. The detected data will be displayed on the OLED display screen. When the detection data exceeds the threshold, the buzzer will sound an alarm, and the threshold can be adjusted and controlled through buttons; Control the operation of fans, water pumps, and stepper motors through relay circuits, and remotely control the operation of fans, water pumps, and stepper motors through mobile apps and view sensor data through wireless Bluetooth communication, achieving remote control; Intelligent control will be achieved when the environmental temperature, soil temperature and humidity, light intensity, and carbon dioxide concentration are above or below the threshold.In addition, this article attempts to use graphs to represent learning techniques for handling redundant information, in order to better model. 3
Peng et al. (Fri,) studied this question.