Hydroponics Management System

Abstract

Despite the urgent need for efficient food production methods amid growing global populations and shrinking arable land, agricultural advancements largely rely on labor-intensive practices. This persists despite technological innovations offering solutions to optimize resource utilization and boost yields. In hydroponics—a soil-less cultivation method known for water efficiency and productivity—automation potential remains largely untapped. Current hydroponic systems require manual monitoring and adjustment of environmental parameters, consuming time and prone to errors. To tackle these challenges, this thesis introduces a Hydroponics Controller automating critical growth parameters regulation, including nutrient concentration, pH levels, lighting, and temperature. The project comprises an integrated sensor network for real-time monitoring and a control algorithm dynamically adjusting conditions for optimal growth.