IoT based Smart Agriculture Monitoring using Support Vector Machine

Agricultural environment monitoring systems based on several wireless sensors have been created to ensure optimal growth conditions. IoT sensing monitoring the agriculture area to transmit the data through wireless sensor medium. To make better analysis to monitor the agriculture filed to improve the cultivation based on machine learning approach. Various improper data analysis failed to predict the data. To resolve this problem, we propose a IoT based Smart agriculture monitoring using Support Vector Machine (SVM). This proposed system develops a multi-parameter monitoring system that will deliver real-time data to farmers and users over the internet. It consolidates the Internet of Things (IoT) and remote sensor networks in an innovative way to develop an intelligent remote agricultural monitoring system. Sensor hubs are decisively positioned throughout the field to gather information on innumerable targets. These readings are then displayed on the transmitter before leaving the base station via the XBee sensor. Organization and made a data set to screen sensor values. It can be used for ecological research and analysis. This proposed system produces higher performance compared to the other system.