+86 15898932201In contemporary agricultural practices, due to the extensive farming areas, traditionally, the collection of farmland data often relies on manual monitoring and recording, and then is manually entered into the system for subsequent processing by management software to be stored in a database or made into various reports. To improve the efficiency of this process, the Agricultural Environment Monitoring System has been developed.
In the process of agriculture's transformation to modernization and informatization, obtaining accurate and immediate field data is a crucial link. However, factors such as the wide distribution of agriculture, a wide variety of crops, remote geographical locations, and insufficient communication facilities all pose challenges to the effective collection of farmland environmental data.
To ensure the healthy growth of crops, farmers must master key ground information (such as temperature, humidity, wind speed, wind direction, light intensity, and carbon dioxide level) and soil information (such as soil temperature and humidity). These data are crucial for timely detection and handling of abnormal situations in the monitoring area. They can help farmers make timely planting or breeding adjustments, thereby promoting the transformation of agriculture from a labor-intensive traditional model to a more automated, intelligent, and networked modern model.
The Agricultural Environment Monitoring System uses a variety of sensors and is deployed in farmland and horticultural sites to collect key environmental parameters for crop growth, such as temperature, humidity, air pressure, soil moisture content, solar radiation, and carbon dioxide concentration.
These data are transmitted to the central monitoring platform through the Internet or a dedicated Internet of Things module and presented in an easy-to-understand way, enabling farmers to track crop growth conditions and development status in real time. Such a system provides accurate data support for agricultural producers and helps them make more scientific, accurate, and efficient management decisions.
Article address：https://www.sqqx.net/en/news/25.html
