2019
DOI: 10.3389/fdata.2019.00034
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Variable Rate Irrigation of Maize and Soybean in West-Central Nebraska Under Full and Deficit Irrigation

Abstract: Variable rate irrigation (VRI) may improve center pivot irrigation management, including deficit irrigation. A remote-sensing-based evapotranspiration model was implemented with Landsat imagery to manage irrigations for a VRI equipped center pivot irrigated field located in West-Central Nebraska planted to maize in 2017 and soybean in 2018. In 2017, the study included VRI using the model, and uniform irrigation using neutron attenuation for full irrigation with no intended water stress (VRI-Full and Uniform-Fu… Show more

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Cited by 17 publications
(16 citation statements)
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“…Irrigation depths were split into two or three prescriptions when irrigation requirements exceeded the maximum irrigation depth that could be applied by irrigation system in a single irrigation pass. This methodology for irrigation management is described in detail by Barker et al (2018bBarker et al ( , 2019.…”
Section: Irrigationmentioning
confidence: 99%
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“…Irrigation depths were split into two or three prescriptions when irrigation requirements exceeded the maximum irrigation depth that could be applied by irrigation system in a single irrigation pass. This methodology for irrigation management is described in detail by Barker et al (2018bBarker et al ( , 2019.…”
Section: Irrigationmentioning
confidence: 99%
“…SETMI was used to compute irrigation requirements for VRI-L and VRIU plots. Refer to Barker et al (2018aBarker et al ( , 2019 for current information on SETMI in addition to the included water balance and TSEB models. Maize and soybean were considered as different fields in the model.…”
Section: Setmi Modeling For Irrigation Managementmentioning
confidence: 99%
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“…The software calculates ET a using a hybrid methodology combining a reflectance-based crop coefficient approach (Neale et al, 1989) using multispectral data and a two-source energy balance approach using thermal imagery, and was modified to maintain a spatial soil water balance (Barker et al, 2018a, b). For real time irrigation management, the model was initially used with Landsat satellite imagery (Barker et al, 2018b(Barker et al, , 2019, but was later used with imagery from unmanned aircraft systems (Bhatti et al, 2020). Soil water measurements at multiple locations in the field have been needed for ground truth for the soil water balance; however, ongoing improvements in SETMI are reducing the amount of drift in the soil water balance when unaided by soil water measurements (Barker et al, 2019).…”
Section: Algorithms Used To Estimate Actual Crop Evapotranspiration (mentioning
confidence: 99%
“…For real time irrigation management, the model was initially used with Landsat satellite imagery (Barker et al, 2018b(Barker et al, , 2019, but was later used with imagery from unmanned aircraft systems (Bhatti et al, 2020). Soil water measurements at multiple locations in the field have been needed for ground truth for the soil water balance; however, ongoing improvements in SETMI are reducing the amount of drift in the soil water balance when unaided by soil water measurements (Barker et al, 2019). While many unmanned aircraft systems adequately capture spatial patterns in the crop canopy, a challenge for calculating ET a with unmanned aircraft imagery is the need for a high level of accuracy in the data (Barker et al, 2020), which has been a greater challenge for thermal imagery than multispectral imagery (Maguire, 2018).…”
Section: Algorithms Used To Estimate Actual Crop Evapotranspiration (mentioning
confidence: 99%