Soil moisture online monitoring system

Scientific irrigation is advocated by modern agricultural production. Crop irrigation requires soil moisture testing, and the development of soil moisture monitoring provides reliable data support for scientific guidance of agricultural production, which is of great significance to increase agricultural production.

Soil moisture online monitoring system can automatically detect and record soil moisture and soil temperature, and with optional sensors, it can also monitor total radiation, air humidity, rainfall, dew point, surface temperature, wind direction, wind speed and other parameter indicators, and the data is transmitted wirelessly, and users can view instant information of multiple monitoring points through mobile apps.

According to the leading crops, soil types, climatic conditions, irrigation and drainage conditions and production levels in the planting area, representative plots are selected to set up soil moisture monitoring stations and install soil moisture monitoring systems, which can provide growers with timely and accurate soil moisture conditions at each monitoring point and can comprehensively, scientifically and truly reflect the soil changes in the monitored area, providing important data reference information for disaster and drought mitigation.

The soil moisture monitoring system can be extended with multiple sensors to monitor more environmental information, such as soil water potential, UV radiation, light intensity, atmospheric humidity, wind speed and direction, etc. The instrument is charged by solar panel and can work normally regardless of cloudy or sunny days, which is very suitable to be placed in the field for long-term monitoring of soil moisture conditions. In addition, the device comes with GPS positioning function, users can view the data information at any time through the web end, without worrying about the equipment being stolen or relocated; and the collected data can be set to high and low exceedance values, which can automatically carry out data warning analysis.