A cloud-based prototype for the monitoring and predicting of data in precision agriculture based on internet of everything

Abstract

To empower knowledgeable resolution and to gratify informational needs, farmers obligate agricultural information and appropriate knowledge. In India, day by day, the agriculture sector is diminishing, and it devastates the mass production ability of the ecosystem. It is a crucial need to resolve the complication in the sector to reimpose vibrancy and place it back on elevated progress. With the aim of to offer superior agricultural development, the Internet of Everything (IoE) has been developed and accomplished that recognize agricultural habitat data gatherings like soil moisture, humidity, light and temperature. Every sensor node can transform tracking information into the cloud. Data mining principles are utilized with takes cause of discovering communicative systems in the atmospheric constraints recorded by the sensor network. The implementation of this exploration was carried as a use case within the farmhouse in Chennai, India. This paper, we are presenting a formal provision of Peer-to-Peer Central- Registry biased Internet of Everything Protocol (P2PRioEP) which is an application medium registry for hybrid peer-to-peer IoT networks. The results are obtained over a duration and discussed.