Field four conditions monitoring and early warning system

1. Background of Datian Four Emotions Monitoring and Early Warning System

The Datian Four Emotions Monitoring and Early Warning System is also known as the Agricultural Four Emotions Monitoring and Early Warning System.The Datian Four Emotions Monitoring and Early Warning System is based on information technologies such as wireless sensors, the Internet of Things, cloud platforms, big data, and the Internet, and collects images, text, Information such as videos.

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, young seedlings, spores, etc., to make them meet the environmental standards of agricultural production. Agricultural production is refined, efficient, and modernized. 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. Composition of Datian Four Emotions Monitoring and Early Warning System 

The system consists of a tube-type soil moisture monitor, pest forecasting lamp, weather station, video surveillance, fence, air-suction insecticidal lamp, spore capture device, and 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. , the number of spores is monitored and managed systematically, and the data is uploaded to the measurement and reporting platform through GPRS/4G or the network port. Managers can remotely view the data and trends of various environmental parameters in real time, saving manpower, and make corresponding adjustments according to data feedback to ensure crops The good growth situation helps agricultural production. 

3. Introduction of Datian Siqing Monitoring and Early Warning System Platform 

1. The agricultural four-emotion forecasting platform is an online monitoring platform that integrates monitoring of insects, weather, moisture, seedlings, and spores. 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. The automatic spore capture instrument adopts optical, electrical, and numerical control technologies, and automatic microscopic imaging automatically takes pictures of the captured germ spores around the clock. The intelligent spore capture equipment includes high-power optical microscopic imaging system, precision limit technology, automatic intelligent focus fusion technology, Internet of Things transmission control technology and other technical means, and uploads the spore pictures in the air to the designated agricultural cloud platform 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.