Seedling Growth Monitoring System Enabling Remote Video Monitoring of Field Crop Growth Status

Seedling Growth Monitoring System An automated monitoring system conducts real-time video surveillance of crop growth and development stages, pest and disease conditions, and potential disaster situations (capturing both daytime visual images and nighttime infrared images). By integrating meteorological and soil moisture sensors with pest forecasting lamps, the system achieves automated monitoring of field seedling conditions, pest infestations, and disaster impacts. This allows management personnel to remotely observe crop growth status and provide guidance on irrigation, fertilization, and pesticide application.

Seedling Growth Monitoring System Refers to intelligent monitoring equipment that utilizes an automated system to conduct real-time video surveillance of crop growth and development stages, pest and disease conditions, and potential disaster situations (including both daytime visual images and nighttime infrared images). By integrating meteorological sensors, soil moisture sensors, and pest forecasting lamps, the system enables automated monitoring of field seedling conditions, pest infestations, and disaster impacts. This empowers management personnel to remotely observe crop growth status and provide guidance on field management measures—such as irrigation, fertilization, and pesticide application—tailored to the specific needs of the crops during different growth cycles.

This system is primarily utilized in fields such as the remote diagnosis, forecasting, prediction, early warning, research, and monitoring and control of agricultural and forestry pests and diseases. It features field video recording and photography capabilities, allowing for the scheduled capture of images depicting crop growth and development stages, dynamic footage of various organisms in their natural habitats, and images of pest and disease activity. Leveraging Internet of Things (IoT) technology, the system dynamically monitors field crops for pest and disease infestations, soil moisture levels, seedling conditions, and disaster impacts. Users at all levels can access data and system management functions via web interfaces, PC clients, and mobile applications, enabling the real-time monitoring and management of critical parameters at each monitoring point—including pest and disease status, crop growth conditions, disaster impacts, air temperature, air humidity, dew point, soil temperature, and light intensity. The Tianjin Climate Center has developed a technology model supported by the IoT; this model involves deploying microclimate and real-scene environmental monitoring equipment within seedling greenhouses. By utilizing rice growth and development models, the system generates dynamic forecasts and predictions regarding seedling vigor. Furthermore, through intelligent IoT control technologies, it enables the remote management and operation of the greenhouse environment, including the automated regulation of temperature and humidity. Consequently, the incidence of "dry tip" syndrome in seedlings has been significantly reduced, resulting in rice seedlings that are more robust and uniform in growth. Beidahuang Group’s Qianjin Farm Co., Ltd. has uniformly installed integrated water-fertilizer systems, automated curtain controls, and environmental data acquisition equipment across its smart seedling greenhouses. By establishing an intelligent monitoring and production control system for the seedling fields—and utilizing real-time collected data—operators can perform remote operations via a mobile app to achieve precise temperature and water management, accurate fertilization and pH adjustment, and targeted disease prevention and weed control.

In terms of technical specifications, the system employs high-definition cameras with a maximum resolution of 2560×1440. These cameras support a 120dB wide dynamic range, backlight compensation, strong light suppression, and 3D digital noise reduction technologies, enabling them to adapt to diverse monitoring environments. The system features a built-in 4G SIM card for LTE wireless network transmission, external dual antennas, and dual supplementary lighting capabilities (white light and infrared), with an infrared range extending up to 30 meters. Furthermore, the IP66 dustproof and waterproof design ensures the equipment remains fully functional even in harsh field conditions. The pest and disease monitoring module utilizes a microscope with 1000x optical magnification to periodically capture clear images of spores; with automatic focusing and data uploading capabilities, it enables continuous, unattended, and automated monitoring of spore activity around the clock. The platform supports SMS alerts with customizable thresholds, data trend analysis, and data export functions, allowing management personnel to monitor crop growth conditions in the fields in real-time via mobile phones or computers, thereby facilitating the timely detection of early signs of pests and diseases.