The WX-4Q field four situation monitoring system integrates advanced technologies such as the Internet of Things, big data, and cloud computing, which is like an "intelligent butler" in farmland, monitoring every subtle change of farmland 24 hours a day. Through various sensors throughout the field, the system can monitor environmental parameters such as soil temperature and humidity, light intensity, air quality, and crop growth, such as plant height, leaf area, and fruit size, in real time. These sensors are like the "eyes" and "ears" of the farmland, taking in information about every inch of the land.

The data collected by the Datian four-situation monitoring system is transmitted to the cloud server in real time through the wireless communication network. After big data analysis and processing, visual monitoring reports and early warning information are formed. Farmers can easily grasp the real-time condition of their fields through their mobile phones or computers. These data not only help farmers accurately judge the growth needs of crops, but also provide early warning of potential pests and diseases and natural disasters, providing strong support for scientific decision-making.

One of the most outstanding functions of the field four-condition monitoring system is its ability to identify and early warning of pests and diseases. Using image recognition and machine learning technology, the system can automatically identify the type, quantity and activity patterns of pests and diseases in the field, and immediately send early warning information to farmers. This intelligent early warning mechanism greatly improves the prevention and control efficiency of pests and diseases, reduces the blind use of pesticides, not only protects the ecological environment, but also guarantees the quality and safety of agricultural products.

In addition to disease and pest control, the field four-condition monitoring system can also monitor and manage the operating status of agricultural facilities in real time. Whether it is the temperature, humidity, light and other environmental parameters in the greenhouse, or the operating status of irrigation, ventilation and other equipment, the system can be accurately controlled. Farmers can flexibly adjust the facility environment according to the suggestions provided by the system to provide the most suitable growth conditions for crops, so as to achieve high quality and high yield of crops.