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Follow on Google News | Soil Moisture Monitoring Maximizes Plant Growth For FarmersBy: CAS DataLoggers Accurate soil moisture content is an important parameter in a number of applications including geologists studying landslide potential, civil engineers designing watersheds or the National Weather Center (https://en.wikipedia.org/ Soil Moisture Monitoring Measurements Soil moisture monitoring is important in agriculture to help farmers manage irrigation systems more efficiently allowing them to use less water while increasing yields. When soil moisture data is compared to the environmental data farmers can predict how much water will be needed at any time to maximize plant growth during various stages of growth. Soil moisture sensors commonly use the SDI-12 serial protocol, allowing multiple sensors to connect to the data logger via a single cable. In addition to soil moisture, some of these sensors can also measure the electrical conductivity of the soil. The conductivity is related to the salinity level in the soil. These measurements are important because the level of salt in soil moisture has dramatic effects on crop health and yields because agricultural soils may become sodic (higher Sodium than usual). There are techniques that can remove the sodium to improve soil quality and increase crop production but identifying where these soil conditions are and when they occur are a challenge to say the least. There are 3 main methods used to measure soil moisture content and electrical conductivity. Time Domain Reflectometry (TDR) identifies the presence of various substances by sending out an electric signal and measuring how long it takes to receive the signal back. Time Domain Transmissometry (TDT) is similar to TDR except that a pulse of electricity is used rather than a continuous signal from a closed loop. Frequency Domain Reflectometry (FDR) is similar to TDR and TDT except that the amplitude response of the sensor signal is measured and Coaxial Impedance Dielectric Reflectometry (CIDR) is an FDR sensor that measures the frequency response of the outgoing signal to determine conductivity. ADU-500 Application Case Study In this application, an ADU-500 is used to measure and record air temperature, humidity, precipitation and soil moisture. The ultra-low power Vaisala HMP60 sensor (https://www.vaisala.com/ The Infinite ADU-500 is an autonomous data logger\RTU (remote telemetry unit) that can record data from up to 2 analog sensors and 3 digital inputs plus several SDI-12 sensors up to a total of 48 measurement channels which provides a flexible cost-effective platform for remote data logging applications. Powered only by the internal 3.6V Lithium Thionyl battery, it can provide voltage excitation from 3.3 to 12 VDC for the analog and SDI-12 sensors. For further information on the ADU-500 Autonomous RTU Data Logger (https://www.dataloggerinc.com/ End
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