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Dynamic optimization of watering Satsuma mandarin using neural networks and genetic algorithms

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  • Morimoto, T.
  • Ouchi, Y.
  • Shimizu, M.
  • Baloch, M.S.

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Suggested Citation

  • Morimoto, T. & Ouchi, Y. & Shimizu, M. & Baloch, M.S., 2007. "Dynamic optimization of watering Satsuma mandarin using neural networks and genetic algorithms," Agricultural Water Management, Elsevier, vol. 93(1-2), pages 1-10, October.
    • Handle: RePEc:eee:agiwat:v:93:y:2007:i:1-2:p:1-10
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    References listed on IDEAS

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    1. K. Srinivasa Raju & D. Nagesh Kumar, 2004. "Irrigation Planning using Genetic Algorithms," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 18(2), pages 163-176, April.
    2. Amayreh, Jumah & Al-Abed, Nassim, 2005. "Developing crop coefficients for field-grown tomato (Lycopersicon esculentum Mill.) under drip irrigation with black plastic mulch," Agricultural Water Management, Elsevier, vol. 73(3), pages 247-254, May.
    3. Burke, S. & Mulligan, M. & Thornes, J. B., 1999. "Optimal irrigation efficiency for maximum plant productivity and minimum water loss," Agricultural Water Management, Elsevier, vol. 40(2-3), pages 377-391, May.
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    Cited by:

    1. Zou, Ping & Yang, Jingsong & Fu, Jianrong & Liu, Guangming & Li, Dongshun, 2010. "Artificial neural network and time series models for predicting soil salt and water content," Agricultural Water Management, Elsevier, vol. 97(12), pages 2009-2019, November.

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