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Using a soil moisture sensor-based smart controller for autonomous irrigation management of hybrid bermudagrass with recycled water in coastal Southern California

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  • Singh, Amninder
  • Verdi, Amir
  • Haver, Darren
  • Sapkota, Anish
  • Iradukunda, Jean Claude

Abstract

There is a lack of information on the reliability of smart soil moisture sensor-based irrigation controllers for autonomous urban landscape irrigation management using recycled water where water conservation is required, which is the main objective of this study. A three-year turfgrass irrigation research trial (2019–2021) using tertiary-treated recycled water (mean EC = 1.18 dS/m, pH = 7.5) was conducted in Irvine, California, USA. A total of 12 irrigation treatments were designed, including six soil moisture-based thresholds (for triggering and terminating irrigation events) × two irrigation frequency treatments (restricted versus on-demand). Weekly NDVI and canopy temperature data were collected during the summer irrigation season to assess the impact of irrigation treatments on the overall health and quality of 'Tifgreen 328' hybrid bermudagrass. Soil salinity and sodium adsorption ratio (SAR) were measured before and after the summer irrigation seasons. Findings revealed statistically significant effects of irrigation levels and irrigation frequency restrictions on NDVI over the three years. The temperature difference (dT) between turfgrass and air (Tc - Ta) was significantly affected by irrigation levels throughout the three years, while irrigation frequency restrictions showed a significant effect in the years 2021 and 2022. On-demand irrigation resulted in a 10% reduction in temperature difference values during the study period compared to restricted irrigation. Variations in soil salinity levels were observed during the experimental periods; however, both salinity and SAR increased as the study progressed. Results indicate that fully autonomous hybrid bermudagrass irrigation with recycled water, based on recommended soil moisture thresholds of 75% of field capacity over an extended period in a semiarid climate, may lead to unacceptable turfgrass quality.

Suggested Citation

  • Singh, Amninder & Verdi, Amir & Haver, Darren & Sapkota, Anish & Iradukunda, Jean Claude, 2024. "Using a soil moisture sensor-based smart controller for autonomous irrigation management of hybrid bermudagrass with recycled water in coastal Southern California," Agricultural Water Management, Elsevier, vol. 299(C).
    • Handle: RePEc:eee:agiwat:v:299:y:2024:i:c:s0378377424002415
    DOI: 10.1016/j.agwat.2024.108906
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    References listed on IDEAS

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    1. Haghverdi, Amir & Singh, Amninder & Sapkota, Anish & Reiter, Maggie & Ghodsi, Somayeh, 2021. "Developing irrigation water conservation strategies for hybrid bermudagrass using an evapotranspiration-based smart irrigation controller in inland southern California," Agricultural Water Management, Elsevier, vol. 245(C).
    2. Domínguez, A. & Tarjuelo, J.M. & de Juan, J.A. & López-Mata, E. & Breidy, J. & Karam, F., 2011. "Deficit irrigation under water stress and salinity conditions: The MOPECO-Salt Model," Agricultural Water Management, Elsevier, vol. 98(9), pages 1451-1461, July.
    3. McCready, M.S. & Dukes, M.D. & Miller, G.L., 2009. "Water conservation potential of smart irrigation controllers on St. Augustinegrass," Agricultural Water Management, Elsevier, vol. 96(11), pages 1623-1632, November.
    4. Marcum, K.B., 2006. "Use of saline and non-potable water in the turfgrass industry: Constraints and developments," Agricultural Water Management, Elsevier, vol. 80(1-3), pages 132-146, February.
    5. Aragüés, R. & Medina, E.T. & Martínez-Cob, A. & Faci, J., 2014. "Effects of deficit irrigation strategies on soil salinization and sodification in a semiarid drip-irrigated peach orchard," Agricultural Water Management, Elsevier, vol. 142(C), pages 1-9.
    6. Gao, Yang & Shao, Guangcheng & Wu, Shiqing & Xiaojun, Wang & Lu, Jia & Cui, Jintao, 2021. "Changes in soil salinity under treated wastewater irrigation: A meta-analysis," Agricultural Water Management, Elsevier, vol. 255(C).
    7. Rhoades, J. D. & Bingham, F. T. & Letey, J. & Hoffman, G. J. & Dedrick, A. R. & Pinter, P. J. & Replogle, J. A., 1989. "Use of saline drainage water for irrigation: Imperial Valley study," Agricultural Water Management, Elsevier, vol. 16(1-2), pages 25-36, August.
    8. Blonquist, J.M. Jr. & Jones, S.B. & Robinson, D.A., 2006. "Precise irrigation scheduling for turfgrass using a subsurface electromagnetic soil moisture sensor," Agricultural Water Management, Elsevier, vol. 84(1-2), pages 153-165, July.
    9. Khachatryan, Hayk & Suh, Dong Hee & Xu, Wan & Useche, Pilar & Dukes, Michael D., 2019. "Towards sustainable water management: Preferences and willingness to pay for smart landscape irrigation technologies," Land Use Policy, Elsevier, vol. 85(C), pages 33-41.
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