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Research on the Optimal Water Allocation of Rice Under Insufficient Irrigation Conditions

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Recent Developments in Mechatronics and Intelligent Robotics (ICMIR 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1060))

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Abstract

Rice is the representative of hydrophilic and humid crops, which consumes a large amount of water in the field. Southern China is the main rice-producing area. Relatively, weak water-saving awareness under the condition of abundant rainfall, climate change, and seasonal drought results in water shortage increasingly prominent. Based on the comprehensive consideration of rice water demand, water production function, water sensitivity index, and so on, an optimal allocation model of irrigation water under insufficient irrigation conditions is constructed to maximize the total yield of rice crops. The multi-constraint model is solved by the target approximation algorithm and the genetic algorithm. The results show that the genetic algorithm can effectively allocate the limited irrigation water.

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Acknowledgements

Based on rice water requirement, water production function, and water sensitivity index, this paper adopts an optimal allocation model under the condition of inadequate irrigation that is established by taking maximum the total yield of field crops as the objective function, solves the multi-constraint model by means of target approximation algorithm and genetic algorithm, compares and analyzes the results. The results show that the genetic algorithm can effectively solve the optimal allocation of irrigation water and strictly meet the equality constraints compared with the target approximation algorithm; the optimal allocation model of irrigation water can reasonably distribute the limited irrigation water, so as to maximize the water production function and maximize the irrigation benefits.

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Authors and Affiliations

  1. Pearl River Water Resources Commission of the Ministry of Water Resources, Guangzhou, 510610, China

    Xianqun Jiang & Wufen Chen

  2. Guangdong Polytechnic College, 526114, Zhaoqing, China

    Hongxia Gu

Authors
  1. Xianqun Jiang
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  2. Wufen Chen
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  3. Hongxia Gu
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Corresponding author

Correspondence to Wufen Chen .

Editor information

Editors and Affiliations

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

    Srikanta Patnaik

  2. Department of Information Management and Business Analytics, Montclair State University, Montclair, NJ, USA

    John Wang

  3. School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China

    Zhengtao Yu

  4. Department of Information Technology, Techno India College of Technology, Durgapur, Kolkata, India

    Nilanjan Dey

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Jiang, X., Chen, W., Gu, H. (2020). Research on the Optimal Water Allocation of Rice Under Insufficient Irrigation Conditions. In: Patnaik, S., Wang, J., Yu, Z., Dey, N. (eds) Recent Developments in Mechatronics and Intelligent Robotics. ICMIR 2019. Advances in Intelligent Systems and Computing, vol 1060. Springer, Singapore. https://doi.org/10.1007/978-981-15-0238-5_53

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