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Calibration of Low-Cost Moisture Sensors in a Biochar-Amended Sandy Loam Soil with Different Salinity Levels

机译:在不同盐度水平的生物炭改良沙壤土中低成本水分传感器的校准

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摘要

With the increasing focus on irrigation management, it is crucial to consider cost-effective alternatives for soil water monitoring, such as multi-point monitoring with low-cost soil moisture sensors. This study assesses the accuracy and functionality of low-cost sensors in a sandy loam (SL) soil amended with biochar at rates of 15.6 and 31.2 tons/ha by calibrating the sensors in the presence of two nitrogen (N) and potassium (K) commercial fertilizers at three salinity levels (non/slightly/moderately) and six soil water contents. Sensors were calibrated across nine SL-soil combinations with biochar and N and K fertilizers, counting for 21 treatments. The best fit for soil water content calibration was obtained using polynomial equations, demonstrating reliability with R2 values greater than 0.98 for each case. After a second calibration, low-cost soil moisture sensors provide acceptable results concerning previous calibration, especially for non- and slightly saline treatments and at soil moisture levels lower than 0.17 cm3cm−3. The results showed that at low frequencies, biochar and salinity increase the capacitance detected by the sensors, with calibration curves deviating up to 30% from the control sandy loam soil. Due to changes in the physical and chemical properties of soil resulting from biochar amendments and the conductive properties influenced by fertilization practices, it is required to conduct specific and continuous calibrations of soil water content sensor, leading to better agricultural management decisions.
机译:随着对灌溉管理的日益关注,考虑具有成本效益的土壤水分监测替代方案至关重要,例如使用低成本土壤湿度传感器进行多点监测。本研究通过在三种盐度水平(非/轻微/中度)和六种土壤含水量下校准传感器,以 15.6 和 31.2 吨/公顷的速率用生物炭改良的沙壤土 (SL) 土壤中低成本传感器的准确性和功能。传感器在含有生物炭和氮肥和钾肥料的 9 个 SL 土壤组合中进行了校准,共计 21 个处理。使用多项式方程获得土壤含水量校准的最佳拟合,证明每种情况下 R2 值均大于 0.98 的可靠性。第二次校准后,低成本的土壤湿度传感器可提供与先前校准相关的可接受结果,特别是对于非盐和微盐处理以及土壤水分水平低于 0.17 cm3cm-3 的情况。结果表明,在低频下,生物炭和盐度增加了传感器检测到的电容,校准曲线与对照砂壤土的偏差高达 30%。由于生物炭改良剂导致土壤物理和化学特性的变化以及施肥做法影响的导电特性,因此需要对土壤含水量传感器进行特定和连续的校准,从而做出更好的农业管理决策。

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