Integrated sensing device for irrigation scheduling: field evaluation and crop water stress index estimation of wheat

Arti Kumari, D. K. Singh, A. Sarangi, Murtaza Hasan, Vinay Kumar Sehgal, Soora Naresh Kumar, Cini Verghese
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Abstract

An integrated sensing device for irrigation scheduling (ISDI) was developed to assess the soil–plant–atmosphere continuum for irrigation scheduling. In the present study, a field experiment was carried out to evaluate the performance of ISDI. ISDI was used to determine crop water stress index (CWSI) across various irrigation regimes in wheat crop at the WTC farm, ICAR-IARI, New Delhi, India. The experiment considered were full irrigation (FI) and various deficit irrigation levels (DI-15, DI-30, DI-45, and DI-60), receiving 15, 30, 45, and 60% less water in comparison to FI, respectively. The calibration and performance of the ISDI sensor probes in the field was done with gravimetric methods along with time domain reflectometry (TDR) and a handheld infrared thermometer. The field calibration of the ISDI's soil moisture probe and TDR gave promising results, with R² values ranging from 0.76 to 0.81 and 0.81 to 0.86, respectively, for soil depths up to 45 cm. ISDI's infrared sensor probe also demonstrated strong alignment with a handheld infrared thermometer (R2: 0.95), indicating reliable methods. Furthermore, a regression equation for estimating the lower baseline and upper threshold for CWSI computation was derived as (Tc − Ta)ll = 1.97 × VPD − 1.43 with R2 of 0.86 and 1.93 °C, respectively. It was also recommended to initiate irrigation when CWSI was ≥0.35 for wheat to achieve optimal crop yields.
用于灌溉调度的综合传感设备:小麦的田间评估和作物水分胁迫指数估算
开发了一种灌溉调度综合传感装置(ISDI),用于评估土壤-植物-大气的连续性,以便进行灌溉调度。本研究进行了一项田间试验,以评估 ISDI 的性能。在印度新德里 ICAR-IARI 的 WTC 农场,利用 ISDI 测定了不同灌溉制度下小麦作物的水分胁迫指数(CWSI)。所考虑的试验包括全灌溉(FI)和各种亏缺灌溉水平(DI-15、DI-30、DI-45 和 DI-60),与全灌溉相比,亏缺灌溉水平分别减少 15%、30%、45% 和 60%的水量。田间 ISDI 传感器探头的校准和性能是通过重力测量法、时域反射测量法 (TDR) 和手持式红外测温仪完成的。ISDI 的土壤水分探头和 TDR 的实地校准结果很好,对于 45 厘米以下的土壤深度,R² 值分别为 0.76 至 0.81 和 0.81 至 0.86。ISDI 的红外传感器探头与手持式红外温度计也显示出很强的一致性(R2:0.95),表明方法可靠。此外,还得出了用于估算 CWSI 计算下限和上限的回归方程,即 (Tc - Ta)ll = 1.97 × VPD - 1.43,R2 分别为 0.86 和 1.93 °C。此外,还建议在小麦 CWSI ≥ 0.35 时开始灌溉,以获得最佳作物产量。
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