WSN-AI based Cloud computing architectures for energy efficient climate smart agriculture with big data analysis

Abstract

These days, the conventional database worldview does not have enough stockpiling for the information created by Wireless Sensor Network (WSN) framework for climate smart agriculture continuously, prompts the need of cloud storage. These information’s are examined by an Artificial Intelligent (AI) module with the assistance of Big Data mining methods. Cloud based big data investigation and the WSN-AI innovation plays out an essential job in the practicality investigation of savvy farming. Sharp or exactness agricultural frameworks are assessed to assume a vital job in improving cultivation exercises. In this paper, WSN framework is utilized to detect the horticulture variable parameters and it is put away into the Cloud database. Big data examination utilizing Cloud is used to look at the information viz. compost prerequisites, break down the yields, soil PH, stickiness, temperature and other important parameters. At that point the expectation is performed dependent on data mining strategy by the AI module which will additionally pick the proper advance to drive the actuator for re-establishing the inadequacy happened for the most extreme harvest yield. Our definitive point is to build up a energy efficient smart agriculture system which will expand the yield generation and control the rural expense of the items utilizing this anticipated data.