Agricultural "Four Situations" Monitoring and Early Warning System

Agricultural "Four Situations" Monitoring and Early Warning System

The "Four Conditions" of agriculture and forestry refer to a monitoring and early warning system that utilizes Internet of Things technology to dynamically monitor the soil moisture, seedling conditions, pest and disease conditions, and disaster situation of crops in the field.

The monitoring and early warning system consists of wireless soil moisture monitoring stations, seedling monitoring cameras, visual automatic pest monitoring lights, disaster video monitoring cameras, early warning and forecasting systems, expert consultation systems, and user management platforms. Users can log in to their exclusive network client anytime and anywhere through mobile and PC devices, access real-time data from the fields, and manage the system to monitor the environment, weather, pest and disease conditions, crop growth, and other aspects of each monitoring point in real-time. By combining the system warning model, real-time remote monitoring and diagnosis of crops can be achieved, and intelligent and automated solutions can be obtained to achieve dynamic monitoring of crop growth and manual remote management, ensuring that crops grow under suitable environmental conditions, improving agricultural productivity, and increasing farmers' income. Monitoring and early warning system for agriculture and forestry four situations

1、 Automatic monitoring system for soil moisture
1. The automatic monitoring system for soil moisture mainly monitors the soil moisture content by measuring the volumetric moisture content (VWC) of the soil through soil moisture sensors. At the same time, according to user needs, the system can expand the configuration of meteorological sensors such as soil temperature, soil conductivity, air temperature and humidity, solar radiation, carbon dioxide, etc.
2. The monitoring data is uniformly sent from the automatic monitoring station to the network data platform, stored in a unified format, and visually displayed to users through chart formats.
3. The platform is equipped with graphic warning and disaster rendering modules, which can set different warning thresholds based on crop types and soil types. When the measured data is below the warning threshold, the platform will promptly send warning information to users. At the same time, the disaster rendering module will be divided into different colors according to the severity of the disaster, and displayed in the form of dots on the provincial administrative map, which can intuitively display the dynamic disaster information of each region. Real time display of meteorological data status Historical data query
Data analysis curve chart


2、 Integrated automatic monitoring system for field seedling and disaster situation
The integrated automatic monitoring system for field seedling situation and disaster situation refers to the real-time video monitoring (including daytime and nighttime infrared images) of the growth and development status, pest and disease situation, and disaster situation of crops by the automatic monitoring system. By combining sensors such as meteorology and soil moisture, as well as pest warning lights, automatic monitoring of field seedling, pest, and disaster conditions can be achieved, allowing management personnel to remotely monitor crop growth status and guide irrigation, fertilization, spraying, and other measures based on the needs of crops in different growth cycles.
3、 Field Insect Monitoring System
The automatic insect detection and reporting light (visualization) utilizes modern light, electricity, and numerical control technology to automatically complete system operations such as insect attraction, pest control, collection, packaging, and drainage without supervision. Through GPRS mobile wireless network, it regularly takes photos and collects images of the collected insects in the insect box, and automatically uploads them to the remote IoT monitoring platform. The platform automatically records the collected data every day, forming a pest database that can be displayed in the form of data lists and charts. Staff can remotely understand the situation and changes of the insects at any time and formulate prevention and control measures.

4、 Expert diagnostic system
Production and use personnel can send the characteristics of plant diseases and the types of diseases and pests that harm plant growth to the monitoring platform in the form of text descriptions and pictures, and experts will answer and reply online, establishing an interactive platform.
5、 Regulatory platform and user terminal operation management
Users can quickly locate their site in the national map through regional management. Opening the icon displays real-time monitoring data of the site, and historical data can be queried and downloaded according to time periods. Data display and analysis can be conducted through curve charts, bar charts, or pie charts, establishing a large database to guide agricultural production.
Through the expert interactive system, users can receive remote analysis and guidance on pests and diseases, ensuring scientific and effective management of production.
Users can monitor the operation, maintenance, and management of the IoT monitoring platform in real-time through mobile devices and PC segments, wirelessly or online.