Smart agriculture is an inevitable trend in the modernization of agriculture. As a major agricultural country, China should actively seek development paths for smart agriculture based on IoT technology, transform traditional agricultural production models, pioneer agricultural modernization, and promote high-quality agricultural development. Through the smart agriculture four-condition monitoring system, real-time remote monitoring of crops can be achieved, providing intelligent and automated management decisions for agriculture.

I. IoT Pest Monitoring and Forecasting System

The IoT pest monitoring and forecasting lamp uses a 20W blacklight tube with a main wavelength of 365nm to attract pests, and a far-infrared pest treatment device to eliminate them. Under unmanned supervision, it can automatically complete tasks such as pest attraction, elimination, dispersal, photography, transportation, collection, and drainage. Equipped with a 1200W-2000W industrial-grade camera for automatic shooting, it uploads image information to the Zhaodi Smart Agriculture IoT Platform, enabling automatic analysis and identification. It analyzes and predicts the occurrence and development of pests, providing services for modern agriculture and meeting the needs of pest forecasting and specimen collection.

II. Automatic Soil Moisture Monitoring System

The automatic soil moisture monitoring system is a highly integrated, low-power, quickly installable, and field-deployable high-precision automatic meteorological observation device. It can detect soil temperature, soil moisture, soil EC value, soil pH value, and nitrogen, phosphorus, and potassium levels. It is equipped with an LED display for local data viewing and synchronizes data with the platform, supporting multi-parameter collection and data upload. Data is automatically uploaded to the Ministry of Agriculture's National Soil Moisture Monitoring System. The sensor monitoring layers can be customized, ranging from three layers to ten layers of soil temperature and humidity monitoring.

III. Multi-Element Automatic Weather Monitoring Station

The multi-element automatic weather monitoring station is a device that automatically observes and stores meteorological data. It can detect weather parameters such as wind speed, wind direction, air temperature, air humidity, atmospheric pressure, illuminance, total radiation, rainfall, and soil temperature, moisture, and salinity (3 layers). The application of weather monitoring stations helps farmers stay informed about changes in meteorological conditions, giving them more time to take preventive measures based on weather changes, reducing agricultural economic losses, and ensuring increased agricultural production and income.

IV. Integrated Real-Time Monitoring System for Crop and Disaster Conditions

The integrated real-time monitoring system for crop and disaster conditions is primarily used for remote diagnosis, prediction, forecasting, early warning, research, and monitoring control in the fields of crop and disaster conditions in agriculture and forestry. It supports field video recording and photography, enabling timed collection of images showing crop and plant growth status, as well as the dynamics of various organisms and disaster activities in their natural state (including daylight images and nighttime infrared images). It facilitates remote continuous positioning imaging of field phenology and automatically uploads collected images to the smart agriculture IoT system platform.