The Quick Meter Instrument is a great way to measure soil moisture.

Soil moisture is an important parameter in agricultural production, which has an important impact on crop growth and yield. Therefore, understanding and mastering the changing law of soil moisture is of great significance in guiding agricultural production.

There are various methods for soil moisture monitoring.

The drying method is commonly used in the laboratory, the operation process is to use the soil auger to drill a certain amount of soil at a selected location and depth, in order to prevent evaporation, the soil samples taken out should be immediately put into an aluminium box and marked. It is taken back to the laboratory for weighing, drying, reweighing, analysing and calculating to find the soil moisture content.

Alcohol combustion method is operated in the field, which is simple and cheap, and can complete the test of soil moisture at one point in a short time, only need to configure the alcohol lamp, crucible, small balance, soil sample collection tools, etc.. However, when there are many moisture monitoring points, it is hard to work in the field with this method, and its data accuracy is lower than that of the drying method.

The tachymeter instrument method makes use of more mature electronic equipment, such as soil moisture monitoring stations, which have the advantages of easy operation, uniform data accuracy, unattended operation and remote monitoring.

The soil moisture monitoring station is an instrument that can automatically detect soil moisture. It mainly monitors soil moisture content and soil temperature, and measures the volumetric water content (VWC) and temperature values of the soil through moisture sensors and temperature sensors. It uses data wireless transmission to transmit data in real time to a web server for remote monitoring. There is also an automatic alarm function, when the soil moisture content is lower or higher than the set value, the system will automatically send an alarm message, can also store a large number of soil moisture data and meteorological data, etc..