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A risk management system for meteorological disasters of solar greenhouse vegetables

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Abstract

Solar greenhouses are well-established and very popular in the north of China as a way of meeting the demand for fresh local winter vegetables. Nonetheless, they are more susceptible to meteorological disasters, such as fog, haze and cold temperatures. A meteorological risk management system that includes disaster forecasting and control is a useful tool to efficiently capture long-term and up-to-the-minute environmental fluctuations inside greenhouses. Based on the concept of the meteorological disaster warning model, this study has developed a meteorological risk management system built upon a browser/server framework and mobile internet to provide precision agriculture (PA) services with large-scale, long-term, scalable and real-time data collection capabilities for solar greenhouse vegetables. Early warning indicators were established for the main meteorological hazards to winter-spring vegetables in solar greenhouses, including low temperature and sparse sunlight, downy mildew, grey mildew and powdery mildew induced by unfavorable meteorological conditions. The system could provide a valuable framework for farmers and agrometeorological officials in analyzing the relationships between vegetable damage dynamics and meteorological events. Having been applied in Beijing and Tianjin, the system has correctly forecast meteorological disaster and diseases caused by long-term fog and haze from November 2015. Based on the analysis carried out, improved meteorological risk management and a more accurate decision-making strategy can be developed to assist PA in combating meteorological disaster.

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Acknowledgements

Funding was provided by the National Natural Science Foundation of China (31401683), Climate Change Special Fund of China Meteorological Administration (CCSF201521), the National R+D+i Plan Project of the Spanish Ministry of Economy and Competitiveness and ERDF funds (DPI2014-56364-C2-1-R) and FP7 International Research Staff Exchange Scheme Project (PIRSES-GA-2013-612659).

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    Authors and Affiliations

    1. Beijing Research Center for Information Technology in Agriculture/National Engineering Research Center for Information Technology in Agriculture/Key Laboratory for Information Technologies in Agriculture, Ministry of Agriculture/Beijing Engineering Research Center of Agricultural Internet of Things, Beijing, 100097, China

      Ming Li, Li Zhao, Hui Wang, Meixiang Chen, Peng Lei, Dongmei Wen & Xinting Yang

    2. Tianjin Climate Center, Tianjin, 300074, China

      Sining Chen, Fang Liu, Qingyu Xue & Zhenfa Li

    3. Department of Informatics, University of Almeria, 04120, Almeria, Spain

      Hui Wang, Jorge Antonio Sanchez-Molina & Jose Fernando Bienvenido

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    1. Ming Li
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    2. Sining Chen
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    3. Fang Liu
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    4. Li Zhao
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    5. Qingyu Xue
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    12. Zhenfa Li
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    13. Xinting Yang
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    Corresponding authors

    Correspondence to Zhenfa Li or Xinting Yang.

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    Ming Li and Sining Chen contributed equally to this work.

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    Li, M., Chen, S., Liu, F. et al. A risk management system for meteorological disasters of solar greenhouse vegetables. Precision Agric 18, 997–1010 (2017). https://doi.org/10.1007/s11119-017-9514-9

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