Hydroponic Farming System Using for Sustainable Indoor Agriculture Solutions
Abstract
In indoor farms, urban agriculture setups, research laboratories, and commercial hydroponic facilities, there is a critical requirement for systems that can maintain optimal growing conditions and ensure efficient resource utilization. These environments demand automated, real-time monitoring solutions capable of regulating water, nutrients, and environmental parameters to maximize crop yield. Traditional farming methods rely heavily on soil-based cultivation and manual monitoring, which often result in inefficient water usage, inconsistent nutrient supply, and reduced productivity. Furthermore, conventional systems lack automation, remote accessibility, and precise environmental control, limiting their effectiveness in modern agricultural practices. To address these challenges, the proposed IoT Enabled Smart Hydroponic System for Indoor Farming utilizes the ESP32 microcontroller integrated with solar power and IoT technology to develop an intelligent and sustainable farming solution. The system incorporates sensors for temperature, humidity, water level, and nutrient concentration to continuously monitor plant growth conditions. An AC water pump is automatically controlled to regulate irrigation and nutrient delivery, while a 16x2 LCD provides realtime system updates and a buzzer generates alerts during abnormal conditions. The system operates in both manual and automatic modes, allowing users to control operations remotely via IoT platforms or enable autonomous regulation based on sensor data. Solar power integration ensures energy efficiency and eco-friendly operation. This smart system enhances crop productivity, optimizes resource utilization, reduces manual effort, and supports the development of sustainable indoor farming solutions
Fields of Study & Subjects
Innovations in Aquaponics and Hydroponics Systems
Smart Agriculture and AI
Water Quality Monitoring Technologies
Publication details
- Journal / source
- International Journal of Data Science and IoT Management System
- Publisher
- Zestera Publications
- Volume
- 5
- Issue
- 2(1)
- Pages
- 363–369
- Publication date
- 14 April 2026