Field evaluation and calibration of Tensiometer and Gypsum block sensors in drip irrigated Broccoli (<i>Brassica oleracea</i> var. <i>italica</i>)

In spite of the fact that previous researchers have utilized different systems of moisture content assurance of soils. In this specific situation, analysts have built up a few systems for estimating the soil moisture eg., thermo gravimetric, neutron dissipating, soil resistivity, dielectric methods and Radar Remote Sensing method using SAR (Synthetic-aperture radar) images. Be that as it may, these methods are very mind boggling, costly (because of very intricate hardware and gear) and henceforth past the span of many. This audit accentuates that why it winds up basic to assess different techniques utilized by the analysts for assurance of the soil moisture. Likewise, a necessity for finding new soil moisture estimation methods or altering the current strategies has been surveyed.

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Point Measurement Techniques and Radar Remote Sensing Technique Using for Soil Moisture Estimation: A Literature Review

Chamoli

Prakash

Vidyarthi

2021

JGEU

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

Kumari,

Singh,

Sarangi

et al. 2024

Water Practice &Amp; Technology

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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.

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Development and field evaluation of a low-cost automated drip irrigation system

Sharma¹,

Hakkim²,

Singh³

2021

Journal of Soil and Water Conservation

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Field evaluation and calibration of Tensiometer and Gypsum block sensors in drip irrigated Broccoli (Brassica oleracea var. italica)

Cited by 3 publications

References 0 publications

Point Measurement Techniques and Radar Remote Sensing Technique Using for Soil Moisture Estimation: A Literature Review

Point Measurement Techniques and Radar Remote Sensing Technique Using for Soil Moisture Estimation: A Literature Review

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

Development and field evaluation of a low-cost automated drip irrigation system

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