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    Soil Moisture Sensor System Development and evaluation for irrigation scheduling in subsurface drip irrigated Sugarcane
    (Punjab Agricultural University, Ludhiana, 2022) Raheja, Amina; Garg, Sunil
    A study was conducted in Punjab Agricultural University on Soil Moisture Sensor System Development and evaluation for irrigation scheduling in subsurface drip irrigated Sugarcane. The sugarcane crop was sown for two consecutive years as plant (2019-20) and ratoon crop(2020-21). The irrigation to sugarcane crop was given by sub surface drip irrigation installed at three different depths-20 cm, 25 cm, and 30 cm depth. Water application was based on evapotranspiration of crop (ETc) for first year and sensor-based irrigation for ratoon crop. The low-cost capacitive sensor system with four moisture sensing probes was developed, calibrated, and tested both in laboratory and field to measure the sensor-to-sensor variability due to the placement of sensors in soil at different depths. The exponential calibration curve and two-point model was compared for developed low-cost sensor system and found to be accurate and precise. (Mean Absolute Error, Root Mean Square Error, and Relative Absolute Error of 1.56%, 0.36, and 0.65 respectively). The field calibrated soil sensing system was compared with a commercial SM150T sensor for measuring VMC in a sugarcane field. The sensor position in root zone plays a significant role in irrigation scheduling. Therefore, HYDUS 2D model was used for calibration, validation, and simulation of moisture movement in the root zone. It was found that the sensor could be installed within 10 cm periphery of the emitter irrespective of the drip depth. The developed sensor system was installed in the sugarcane for irrigation scheduling. The water requirement of sensor-based irrigation was at par with the irrigation based on ETc. The sugarcane yield was 8% and 10% more in drip depth of 25 and 30 cm respectively as compared to 20 cm drip depth. Water deficit up to 10% produced sugarcane yield like ET based irrigation for plant crop. However, water deficit beyond 10% significantly reduced the sugarcane yield both in plant and ratoon crop. Hence, the low-cost capacitive soil moisture sensor system consistently worked very well for the entire period of field testing with no practical issues, so can be used in atomization of the irrigation system.