Intelligent Management of a Hydroponic Greenhouse Powered by a PV System Using Internet of Things and Artificial Intelligence

Abstract

Despite the world population continues to increase, and perception people may have regarding the agricultural process, the reality is that today’s agriculture industry is data-centered, precise, and smarter than ever. The rapid emergence of Technologies such as technologies based on the Internet of Things (IoT) and leaf disease detection are reshaping virtually every industry, including "smart hydroponic farming", This project is aimed at providing a solution to optimize the hydroponic greenhouse system, reduce energy consumption by using PV panel, and improve the overall productivity and profitability of the hydroponic greenhouse via Android Application for monitoring and controlling in real-time data of environmental factors such as temperature and humidity, light, PH and EC sensors and actuators such as pumps, surveillance camera, and the control unit ESP32 card. Detection of leaf disease requires a lot of work and knowledge in the field of plants and the domain of. The goal of this project is the design and implementation of an intelligent system that allows identification of classify lettuce diseases using CNN. The proposed system is implemented in a web application, test results show effectiveness of the proposed system