Abstract
With the rapid development of greenhouse technology and Internet of things technology, more and more intelligent sensors are widely used in the field of intelligent agricultural control. The types of plant growth data obtained are more and more abundant, and the amount of data is more and more huge. The traditional data processing mode only relying on Cloud Computing Center will lead to the increasing demand for computing power, slow system response-speed, and high bandwidth network continuous connection and so on. If data processing can be solved locally, part of the previous cloud computing tasks will be migrated to the local, which will provide guarantee for low delay, high reliability, data conversion, message distribution and intelligent control. In this paper, based on the edge computing scheme, the computing task of cloud computing center is transferred to the edge controller, which effectively solves the problems of cloud computing network bandwidth, long delay, waste of resources and so on. In addition, aiming at the problem of high coupling of greenhouse environment, fuzzy control method is used to realize the rapid adjustment of greenhouse environment.
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