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Implementing precision irrigation in a humid climate – Recent experiences and on-going challenges

Author

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  • Daccache, A.
  • Knox, J.W.
  • Weatherhead, E.K.
  • Daneshkhah, A.
  • Hess, T.M.

Abstract

There is growing scientific interest in the potential role that precision irrigation (PI) can make towards improving crop productivity, and increasing water and energy efficiency in irrigated agriculture. Most progress has been made in arid and semi-arid climates for use in high value crop production where irrigation costs coupled with concerns regarding water scarcity have stimulated PI innovation and development. In temperate and humid climates where irrigation is supplemental to rainfall, PI is less developed but nevertheless offers scope to make more effective use of rainfall, help reduce the non-beneficial losses associated with irrigation (deep drainage, nitrate leaching) and provide farmers with evidence to demonstrate environmentally sustainable practices to processors and retailers. This paper reports on recent experiences in developing precision irrigation in UK field-scale agriculture, drawing on evidence from field research and modelling studies. By combining data from these sources, a critical evaluation focusing on selected technical, agronomic and engineering challenges that need to be overcome are described, including issues regarding PI scheduling, and the delineation of irrigation management zones to ensure compatibility with existing methods of overhead irrigation. The findings have relevance to other countries where irrigation is supplemental and where precision agriculture is gaining popularity.

Suggested Citation

  • Daccache, A. & Knox, J.W. & Weatherhead, E.K. & Daneshkhah, A. & Hess, T.M., 2015. "Implementing precision irrigation in a humid climate – Recent experiences and on-going challenges," Agricultural Water Management, Elsevier, vol. 147(C), pages 135-143.
    • Handle: RePEc:eee:agiwat:v:147:y:2015:i:c:p:135-143
    DOI: 10.1016/j.agwat.2014.05.018
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    References listed on IDEAS

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    1. Knox, J. W. & Weatherhead, E. K. & Bradley, R. I., 1997. "Mapping the total volumetric irrigation water requirements in England and Wales," Agricultural Water Management, Elsevier, vol. 33(1), pages 1-18, May.
    2. Knox, J.W. & Kay, M.G. & Weatherhead, E.K., 2012. "Water regulation, crop production, and agricultural water management—Understanding farmer perspectives on irrigation efficiency," Agricultural Water Management, Elsevier, vol. 108(C), pages 3-8.
    3. Jeremy E. Oakley & Anthony O'Hagan, 2004. "Probabilistic sensitivity analysis of complex models: a Bayesian approach," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 66(3), pages 751-769, August.
    4. Andrea Saltelli, 2002. "Sensitivity Analysis for Importance Assessment," Risk Analysis, John Wiley & Sons, vol. 22(3), pages 579-590, June.
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    2. Domínguez-Niño, Jesús María & Oliver-Manera, Jordi & Girona, Joan & Casadesús, Jaume, 2020. "Differential irrigation scheduling by an automated algorithm of water balance tuned by capacitance-type soil moisture sensors," Agricultural Water Management, Elsevier, vol. 228(C).
    3. Rio, M. & Rey, D. & Prudhomme, C. & Holman, I.P., 2018. "Evaluation of changing surface water abstraction reliability for supplemental irrigation under climate change," Agricultural Water Management, Elsevier, vol. 206(C), pages 200-208.
    4. Imran Ali Lakhiar & Haofang Yan & Chuan Zhang & Guoqing Wang & Bin He & Beibei Hao & Yujing Han & Biyu Wang & Rongxuan Bao & Tabinda Naz Syed & Junaid Nawaz Chauhdary & Md. Rakibuzzaman, 2024. "A Review of Precision Irrigation Water-Saving Technology under Changing Climate for Enhancing Water Use Efficiency, Crop Yield, and Environmental Footprints," Agriculture, MDPI, vol. 14(7), pages 1-40, July.
    5. Li, Maona & Wang, Yunling & Guo, Hui & Ding, Feng & Yan, Haijun, 2023. "Evaluation of variable rate irrigation management in forage crops: Saving water and increasing water productivity," Agricultural Water Management, Elsevier, vol. 275(C).
    6. Athanasios Balafoutis & Bert Beck & Spyros Fountas & Jurgen Vangeyte & Tamme Van der Wal & Iria Soto & Manuel Gómez-Barbero & Andrew Barnes & Vera Eory, 2017. "Precision Agriculture Technologies Positively Contributing to GHG Emissions Mitigation, Farm Productivity and Economics," Sustainability, MDPI, vol. 9(8), pages 1-28, July.
    7. Wang, Jingjing & Lou, Yu & Wang, Wentao & Liu, Suyi & Zhang, Haohui & Hui, Xin & Wang, Yunling & Yan, Haijun & Maes, Wouter H., 2024. "A robust model for diagnosing water stress of winter wheat by combining UAV multispectral and thermal remote sensing," Agricultural Water Management, Elsevier, vol. 291(C).
    8. Pankaj Dey, 2023. "On the Structure of the Intermittency of Rainfall," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(3), pages 1461-1472, February.

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