Small automatic weather stations reduce agricultural losses

Crop growth is often affected by pests, diseases and natural disasters, such as drought, high temperatures and low temperatures. In order to ensure the healthy growth of crops, these meteorological changes need to be monitored to avoid incalculable losses to agriculture caused by disasters. Small automatic weather stations can be used for monitoring.

The natural environment has a great impact on agricultural cultivation, but the use of small automatic weather stations can reduce the impact of natural disasters. It provides monitoring services for the prevention of meteorological disasters and can collect agricultural meteorological parameters such as temperature, humidity, light, wind speed and direction, and rainfall.

After the introduction of small automatic weather stations in an agricultural industrial base, it can accurately monitor meteorological data and make management more scientific. The refined management has improved the quality and yield of crops and increased income. Monitoring farm climate and soil moisture is crucial to agricultural production, providing reference for crop growth and water use.

By monitoring farm climate through small automatic weather stations, we are able to understand the suitable crops to grow. Monitoring changes in soil moisture content can help promote water-saving techniques, improve productivity and promote sustainable agricultural development.

In the past, agricultural cultivation relied on experience to predict the weather and could not accurately warn of natural disasters, resulting in crop damage. Now the use of small automatic weather stations to monitor agricultural weather data provides growers with effective data to help planting and increase crop yields and incomes.

The small automatic weather station can automatically observe field moisture, using solar power and wireless data transmission. Data can be browsed through the system platform or extracted by computer. It can dynamically observe the soil temperature and moisture of multiple soil layers, record and automatically store the data at multiple points, and conveniently export the data.