Intelligent agriculture four conditions monitoring system

1. Background of intelligent agricultural four-emotion monitoring system

The intelligent agricultural four-emotion monitoring system is also called the intelligent agriculture and forestry four-emotion monitoring system and the agriculture and forestry "four-emotion" monitoring system. The intelligent agricultural four-emotion monitoring system consists of a weather station, an insect station, a moisture station, and a video monitoring station. Early warning, moisture evaluation, seedling analysis and other functions.

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 weather and seedling conditions 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. At the same time, the system is equipped with a wind-suction insecticidal lamp, which can efficiently kill insects and is green and pollution-free.

2. The composition of the intelligent agricultural four-emotion monitoring system

The system consists of a tube-type soil moisture monitor, an insect forecast lamp, a weather station, a video surveillance, a fence, a wind-suction insecticidal lamp, and a cloud platform.

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 intelligent agriculture four-emotion monitoring system platform

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.