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Web-based irrigation decision support system with limited inputs for farmers

Author

Listed:
  • Li, Hongjun
  • Li, Jiazhen
  • Shen, Yanjun
  • Zhang, Xiying
  • Lei, Yuping

Abstract

The increasingly serious water crisis requires all water users to participate in the water saving action. The majority of scattered smallholder farmers are in the disadvantage position of information. It is difficult for them to obtain the guidance of scientific irrigation. In order to satisfy the demands of farmers in North China Plain (NCP), a web-based irrigation decision support system with limited inputs (WIDSSLI) is presented in this paper. WIDSSLI is based on the Brower/Server mode and includes user interfaces (UIs) for farmers and administrators, models, database and a weather data update system (WDUS). FAO-56 dual crop coefficient approach is adopted to simulate the soil water balance of different layers. Without in-field soil moisture monitors, the model is started from the earliest day of these days while crops are sowed or the cropland is irrigated, and soil water depletions of all layers are initialized with 0 at the beginning. Using online weather forecast, future irrigation decision is obtained by the comparison between the field water availability simulated by the system and the lower limit of the soil moisture for irrigation. By which, farmers can obtain the irrigation decision support: when irrigation is needed and how much water is required. Verification results shows that the system initialization method is reasonable, and WIDSSLI can accurately simulate the dynamics of soil water content. WIDSSLI is deployed in the internet, and its mobile version is also developed for ease of use.

Suggested Citation

  • Li, Hongjun & Li, Jiazhen & Shen, Yanjun & Zhang, Xiying & Lei, Yuping, 2018. "Web-based irrigation decision support system with limited inputs for farmers," Agricultural Water Management, Elsevier, vol. 210(C), pages 279-285.
    • Handle: RePEc:eee:agiwat:v:210:y:2018:i:c:p:279-285
    DOI: 10.1016/j.agwat.2018.08.025
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    References listed on IDEAS

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    1. Zhang, Xiying & Qin, Wenli & Chen, Suying & Shao, Liwei & Sun, Hongyong, 2017. "Responses of yield and WUE of winter wheat to water stress during the past three decades—A case study in the North China Plain," Agricultural Water Management, Elsevier, vol. 179(C), pages 47-54.
    2. Mateos, Luciano & Lopez-Cortijo, Ignacio & Sagardoy, Juan A., 2002. "SIMIS: the FAO decision support system for irrigation scheme management," Agricultural Water Management, Elsevier, vol. 56(3), pages 193-206, August.
    3. Leenhardt, D. & Trouvat, J. -L. & Gonzales, G. & Perarnaud, V. & Prats, S. & Bergez, J. -E., 2004. "Estimating irrigation demand for water management on a regional scale: II. Validation of ADEAUMIS," Agricultural Water Management, Elsevier, vol. 68(3), pages 233-250, August.
    4. Pedras, C.M.G. & Pereira, L.S. & Gonalves, J.M., 2009. "MIRRIG: A decision support system for design and evaluation of microirrigation systems," Agricultural Water Management, Elsevier, vol. 96(4), pages 691-701, April.
    5. Thysen, Iver & Detlefsen, Nina K., 2006. "Online decision support for irrigation for farmers," Agricultural Water Management, Elsevier, vol. 86(3), pages 269-276, December.
    6. Yang, Gaiqiang & Liu, Lei & Guo, Ping & Li, Mo, 2017. "A flexible decision support system for irrigation scheduling in an irrigation district in China," Agricultural Water Management, Elsevier, vol. 179(C), pages 378-389.
    7. Leenhardt, D. & Trouvat, J. -L. & Gonzales, G. & Perarnaud, V. & Prats, S. & Bergez, J. -E., 2004. "Estimating irrigation demand for water management on a regional scale: I. ADEAUMIS, a simulation platform based on bio-decisional modelling and spatial information," Agricultural Water Management, Elsevier, vol. 68(3), pages 207-232, August.
    8. Kang, Shaozhong & Hao, Xinmei & Du, Taisheng & Tong, Ling & Su, Xiaoling & Lu, Hongna & Li, Xiaolin & Huo, Zailin & Li, Sien & Ding, Risheng, 2017. "Improving agricultural water productivity to ensure food security in China under changing environment: From research to practice," Agricultural Water Management, Elsevier, vol. 179(C), pages 5-17.
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    2. Pereira, L.S. & Paredes, P. & Jovanovic, N., 2020. "Soil water balance models for determining crop water and irrigation requirements and irrigation scheduling focusing on the FAO56 method and the dual Kc approach," Agricultural Water Management, Elsevier, vol. 241(C).
    3. Feng, Xudong & Bi, Shaojie & Li, Hongjun & Qi, Yongqing & Chen, Suying & Shao, Liwei, 2024. "Soil moisture forecasting for precision irrigation management using real-time electricity consumption records," Agricultural Water Management, Elsevier, vol. 291(C).

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