Agriculture Monitoring System Using Dynamic Resilience Learning Algorithm (DRLA) and Energy Efficient Data transmission mechanism in Wireless Sensor

Abstract

Agriculture is becoming an important growth area for the entire world due to population growth. In the proposed system's focus is to monitor agricultural fields and conditions, providing farmers with an IoT-based web application. For monitoring the above data, a Dynamic Resilience Learning Algorithm (DRLA) was proposed to improve a smart agricultural system with advanced technology implementation to reduce the data loss while transmitting and improve the automation process..The Optimized DRLA algorithm to solve the path problem from source to destination. The performance of the new technology has been implemented using the protease simulation platform.