1、Product Introduction
The soil moisture automatic observation instrument is used for detecting soil moisture, and for on-site monitoring of soil temperature, soil humidity, soil salinity, and elements around the clock. It can be connected to the computer through professional data collection communication cables, and the data can be transmitted to the meteorological computer meteorological database for statistical analysis and processing. Mainly used in meteorology, agriculture, geology, environment, and other fields, and suitable for field research and experimental applications.
2、Performance characteristics
1. The soil moisture monitoring station consists of soil sensors, meteorological data recorders, power systems, field protection boxes, and stainless steel brackets.
2. Sensors such as soil temperature, humidity, and salinity are specialized sensors for soil, with high accuracy and reliability.
3. The meteorological data recorder has meteorological data collection, scheduled storage of meteorological data, parameter setting, friendly software human-machine interface, and standard communication functions.
4. Wireless transmission method: The device is equipped with a 4G traffic card, and data is wirelessly transmitted in real-time to collect data.
3、 Technical parameters
1. Soil temperature: -40~120 ℃, accuracy: ±<0.2 ℃
2. Soil humidity: 0-100%, accuracy: ± 3%
3. Soil salinity: Range: 0~19.99ms/cm Precision: ± 2%
4. Soil pH: Range: pH: 0-14 Precision: ± 0.1
4、 Software platform
The on-site monitoring data is sent to the central cloud platform through GPRS/2G/4G/5G network, and users can log in to the webpage to view detailed soil moisture information. The data is stable and reliable, which can reflect the various parameters in the environment in a timely manner. The collected data can also be regularly sent to the mobile phones of management personnel through wireless networks, facilitating guidance on agricultural production and effectively forming meteorological disaster warnings for relevant departments to take timely measures to reduce disaster losses. It is particularly suitable for situations where no one can observe the growth environment and on-site conditions of crops for a long time.
