Convergence of Cloud with AI for Big Data Analytics

8Fog-IoT Assistance-Based Smart Agriculture Application

Pawan Whig¹*, Arun Velu² and Rahul Reddy Nadikattu³

¹ Vivekananda Institute of Professional Studies, New Delhi, India

² Department of CSE, Equifax, Atlanta, United States

³ University of the Cumberlands, Williamsburg, KY, United States

Abstract

Increased agricultural activity is supposed to be of crucial importance as intelligent agriculture or precision agriculture. Increased agricultural activity is supposed to be of crucial importance as intelligent agriculture or precision agriculture. The bandwidth and the information repository are too much for an old cloud-based system that largely employs IoT devices. Reduced latency, better battery life for IoT systems, a lot more efficient cash knowledge acquisition, accessibility to intellectual capital, and AI, ML IoT-EDGE style platform are suggested or may be used. When opposed to using the cloud to process and store information, the edge for the IoT provides prospective edges for various IoT installations, as well as the elimination of interval in combination with geometrical communication potency. Several IoT procedures, for example, will also have a high level of technology at the sting, resulting in minimal latency and quick processing. The current cloud-based systems, which are built on traditional cloud concepts, cannot handle the large quantities and different data produced by linked IoT devices. To facilitate real-time decision-making based on the data collected, ...