中文

Journal of Shanghai University（Natural Science Edition） ›› 2017, Vol. 23 ›› Issue (2): 244-251.doi: 10.3969/j.issn.1007-2861.2016.02.021

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Intelligent remote planting system based on cloud platform

GUO Peng1, LI Jun2, ZHANG Haiyan3   

  1. 1. College of Physics and Electrical and Information Engineering, Shijiazhuang University, Shijiazhuang 050035, China;
    2. School of Materials Science and Engineering, Shanghai University, Shanghai 200444, China;
    3. Department of Postal Communication Management, Shijiazhuang Post and Telecommunication Technical College, Shijiazhuang 050021, China
  • Received:2015-12-24 Online:2017-04-30 Published:2017-04-30

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Abstract:

To solve the problem of lack of time and experience, a leisure agricultural garden is designed. Users can plant remotely by means of cloud computing. Intelligent planting using an expert decision system can also be achieved based on fuzzy control. Using fuzzy clustering and adaptive neuro-fuzzy inference system (ANFIS) to explore the user’s planting data, private ordering of expert decision system can be obtained. Experimental results show that the designed system is effective and reliable.

Key words: adaptive neuro-fuzzy inference system(ANFIS) , fuzzy clustering,  expert decision, cloud computing