Agricultural four conditions automatic monitoring system

1. Background of automatic monitoring system for four conditions in agriculture

The automatic monitoring system for the four conditions of agriculture is also called the monitoring equipment for the four conditions of agriculture, referred to as the monitoring system for the four conditions of agriculture and forestry. A meteorological multi-element observation device based on the Internet of Things. With the development of smart agriculture, Internet, big data, artificial intelligence and other technologies are gradually applied to all aspects of agricultural production, which greatly improves the allocation and utilization efficiency of various production factor resources such as labor force and capital.

With the help of the Internet of Things, smart agriculture has built an agricultural production system that integrates environmental monitoring and precise adjustment. It can monitor and supervise different agricultural production environments and objects, and detect physical parameters of the environment through sensing equipment. Real-time dynamic monitoring of production environment conditions such as meteorology and seedlings to make them meet the environmental standards of agricultural production. The application of these new technologies will greatly improve the quality of agricultural products and make them meet market demand. It can realize the effective connection between supply and demand and promote agricultural production. Refinement, efficiency and modernization.

2. Composition of automatic monitoring system for four conditions in agriculture

The system consists of a tube-type soil moisture monitor, pest forecasting lights, weather stations, video surveillance, fences, and cloud platforms.

The system can monitor the soil temperature, soil moisture, pest status (types of pests, number of pests, etc.), climate conditions (environmental parameters such as air temperature, humidity, rainfall, light intensity, carbon dioxide, wind speed and direction), and crop growth in agricultural fields. Carry out system monitoring and management, upload data to the measurement and reporting platform through GPRS/4G or network port, managers can remotely view the data and trends of various environmental parameters in real time, save manpower, and make corresponding adjustments according to data feedback to ensure good growth of crops situation and boost agricultural production.

3. Introduction of the automatic monitoring system platform for the four conditions of agriculture

1. The agricultural four-emotions monitoring and reporting platform is an online monitoring platform that integrates monitoring of insects, weather, moisture, and seedlings. Insect monitoring has the functions of automatic identification of Al pests, remote real-time viewing of insects, online analysis of insects, automatic identification of pest types, regional insect statistics, trend analysis of insect changes, equipment monitoring and other functions. Meteorological monitoring has the functions of remote real-time viewing of weather and online analysis of historical weather data. Moisture monitoring has the functions of remotely obtaining soil moisture (such as soil temperature and humidity, moisture, PH) data, and online analysis of historical data of soil moisture. Seedling monitoring can view the crop growth picture in real time.

2. The monitoring home page displays menu information such as device list, large-screen visualization, map display, etc. Display soil moisture, insects, weather monitoring icons and equipment operating status.

3. Insect situation monitoring includes five parts: real-time insect situation, insect situation analysis, pest type, real-time status, and operation record.

4. Insect situation analysis: You can query the pictures within the selected time range.

5. Insect statistics include regional statistics and trend analysis.

Regional analysis: select the region, select the time and click Query to query the number of pests in the pest control equipment in the selected time period. Trend analysis: Select an area, select a time and click Query to query the curve changes of the number of each pest species in the area.

6. Meteorological monitoring includes real-time data and historical data.

7. Moisture monitoring includes real-time data and historical data.

8. System management includes four parts: device management, user management, area management, and system log.