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Evaluation on Well-Canal Combined Irrigation Modes for Cotton Fields in the South of Xinjiang, China Based on an Algorithm of Fuzzy Neutral Network

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Advances in Intelligent Systems and Interactive Applications (IISA 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1084))

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Abstract

The research aims to improve water shortage in irrigation of cotton fields and reduce salinization damages in irrigation areas of Tarim River (in the south of Xinjiang Uygur Autonomous Region, China). For this purpose, this study determined soil electric conductivity, ion concentration and key indexes for describing crop growth conditions under different irrigation modes. Based on this, 10 groups of sample data under five irrigation modes were obtained. Moreover, this research analyzed sample data by using an algorithm of fuzzy neutral network (FNN) and discussed the optimal irrigation mode suiting for cotton fields in the region. The results demonstrate that the mode 4 obtains the best overall effects among the five irrigation modes, that is, mixed irrigation mode of 1/4 well water and 3/4 canal water shows the optimal irrigation effects. The relevant research results have practical significance and popularization value for guiding the selection of irrigation modes for cotton fields in the research region.

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References

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Acknowledgements

This research was supported by the Chinese Universities Scientific Fund (No. 2019TC158), the President Foundation Youth Project of Tarim University (TDZKQN201610) and the National Natural Science Foundation of China (No. 61563046).

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Authors and Affiliations

  1. College of Water Resources and Architecture Engineering, Tarim University, Alar, 843300, Xinjiang, China

    Zhigang Li

  2. College of Information Engineering, Tarim University, Alar, 843300, Xinjiang, China

    Jiaming Lu, Mengjie Hao, Li Zhang, Youbo Guo & Qingsong Jiang

Authors
  1. Zhigang Li
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  2. Jiaming Lu
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  3. Mengjie Hao
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  4. Li Zhang
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  5. Youbo Guo
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  6. Qingsong Jiang
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Corresponding author

Correspondence to Qingsong Jiang .

Editor information

Editors and Affiliations

  1. Dept De Ciències De La Computació, Universitat Politècnica De Catalunya, Barcelona, Spain

    Fatos Xhafa

  2. Department of Computer Science and Engineering, SOA University, Bhubaneswar, Odisha, India

    Srikanta Patnaik

  3. Department of Business Systems and Analytics, La Salle University, Philadelphia, PA, USA

    Madjid Tavana

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Li, Z., Lu, J., Hao, M., Zhang, L., Guo, Y., Jiang, Q. (2020). Evaluation on Well-Canal Combined Irrigation Modes for Cotton Fields in the South of Xinjiang, China Based on an Algorithm of Fuzzy Neutral Network. In: Xhafa, F., Patnaik, S., Tavana, M. (eds) Advances in Intelligent Systems and Interactive Applications. IISA 2019. Advances in Intelligent Systems and Computing, vol 1084. Springer, Cham. https://doi.org/10.1007/978-3-030-34387-3_17

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