Green IoT based plant growth monitoring system

Abstract

The usage of Internet of things (IoT) for plant advancement and natural organization is a promising new field of research. Here an arrangement of reliably interfaced sensors are used to support data went for giving more profitable plant improvement and an unrivaled circumstance. In this part, we present a system where eight sorts of sensors are used to measure the air and soil quality. Our structure utilizes dispersed capacity for keeping the assembled sensor data which by then gets organized on the web in order to make exact figures on nature and plants using an auto-in reverse facilitated moving typical count. Likewise the structure has been arranged with a web interface and data portrayal, engaging people to obtain the persistent normal information to take better decisions for plant advancement and biological organization. Finally we highlight the accuracy of outcomes of predication data which is around 99.13%.