IOT-BASED SMART IRRIGATION AND ENVIRONMENTAL MONITORING SYSTEM USING CLOUD PLATFORM AND MOBILE APP INTEGRATION

Danish Akram, Muhammad Ahmad Mehmood, Rana Khuzaima Qudoos, Hammad Shahab, Shahzad Hussain, Muhammad Mohsin Waqas

DOI: 10.26480/bda.02.2026.66.71

ABSTRACT
Efficient water management and intelligent crop monitoring are critical challenges in modern precision agriculture. Traditional irrigation systems lack adaptability, remote accessibility, and real-time environmental monitoring. This research presents a hybrid dual-mode loT-based multi-zone smart irrigation system using ESP32 controller, integrating automatic moisture-based control and manual mobile app based operation. The system monitors three independent agricultural area using soil moisture sensors and controls a centralized irrigation pump via relay-based switching. Environmental parameters including temperature, humidity, and CO levels are simultaneously recorded. The online platform supports operational modes: automatic irrigation based on crop-specific thresholds and manual override through mobile app based control. Real-time sensors data and pump status are transmitted to online Thing Speak cloud for monitoring and historical data analytics. Experimental evaluation demonstrates reliable multi-zone irrigation management, improved water efficiency, and real-time remote supervision capability of the proposed. The proposed system provides a scalable and cost-effective solution for intelligent agriculture management applications.

KEYWORDS
Smart Irrigation, ESP32, Dual-Mode Control, loT Agriculture, Precision Farming, Cloud Monitoring. Thing
Speak