The Agricultural Integrated Four-Aspect Monitoring System integrates four core modules—soil moisture conditions, pest dynamics, crop seedling status, and disaster impacts—to enable real-time monitoring of soil moisture levels (temperature, humidity, water content, etc.), pest and disease trends, crop growth status, and meteorological disasters (wind speed, rainfall, etc.). By leveraging IoT and AI technologies for data analysis, the system provides precise decision support for irrigation, fertilization, and pesticide application in agricultural production, while also facilitating remote monitoring and early warning capabilities through a cloud-based platform and mobile applications. The Agricultural Integrated Four-Aspect Monitoring System integrates four core modules—soil moisture conditions, pest dynamics, crop seedling status, and disaster impacts—to enable real-time monitoring of soil moisture levels (temperature, humidity, water content, etc.), pest and disease trends, crop growth status, and meteorological disasters (wind speed, rainfall, etc.). By leveraging IoT and AI technologies for data analysis, the system provides precise decision support for irrigation, fertilization, and pesticide application in agricultural production, while also facilitating remote monitoring and early warning capabilities through a cloud-based platform and mobile applications.

Performance Features

① Trap light source: Utilizes a trap light source or sex pheromone attractant to attract insects; the lights automatically turn on at night and turn off during the day, ensuring that they remain unaffected by instantaneous intense light exposure during nighttime operation.

② Detectable parameters: disease spores, insect infestation analysis, wind speed, wind direction, sunlight intensity, air temperature, relative humidity, rainfall, atmospheric pressure, soil temperature, soil moisture, soil pH value, soil electrical conductivity, and soil nitrogen, phosphorus, and potassium levels; an integrated data collection and transmission module is provided to ensure the overall system stability, with all parameters customizable according to customer requirements.

③ Data Storage: Meteorological measurement parameters are stored every five minutes, with a maximum storage capacity of ≥100,000 data records; the data can be permanently archived, and the system features a report export function to transfer the data to a computer or an IoT software platform; data storage is performed exclusively by dedicated information processing equipment.

④ Seedling Condition Monitoring: The seedling condition monitoring system supports a maximum resolution of 2560×1440 @ 25 fps, enabling real-time image output at this resolution; it supports digital wide dynamic range, backlight compensation, strong light suppression, and 3D digital noise reduction, making it adaptable to various environments.

⑤ Data Collection: Enables automatic remote data transmission; supports 3G/4G/5G/Wi-Fi/wireless wired connections.

The network/bridge interface connects to the Internet, supports the MQTT protocol, and enables the transmission of monitoring data to a software platform or data center.

⑥ Insect control area: The monitoring range is between 30–50 meters; the effective monitoring area ranges approximately from 3,000 m² (4.5 mu) to 7,800 m² (12 mu). Note: The effective monitoring range depends on specific environmental conditions and equipment; this area may vary due to various factors such as environmental conditions, the population size of pests, and the purpose of the monitoring.

Technical Specifications