Synergizing IoT and AI for Sustainable Greenhouse Management

Abstract

This thesis explores the synergy between Internet of Things (IoT) and Artificial Intelligence (AI) in revolutionizing greenhouse agriculture for sustainability. We analyze the challenges posed by global population growth and climate change, emphasizing the need for innovative solutions. Our approach leverages IoT for sensor connectivity and data acquisition, while AI algorithms enable precise decision-making and predictive analytics. The thesis details the implementation process, including equipment selection, and communication protocols and AI model development, culminating in the development of a user-friendly smart web application dashboard for real-time monitoring. Through empirical evaluation, we demonstrate the efficacy of our solution in enhancing agricultural productivity and sustainability.