Summary
This paper presents a conceptual smart irrigation system architecture integrating IoT sensors, embedded systems (ESP32), and cloud computing (ThingSpeak) to enable remote, data-driven water management in agriculture. The system uses DHT22 humidity/temperature sensors, moisture sensors, and water level sensors to monitor field conditions in real-time and automate irrigation pump operation. Designed using a V-model software development approach, the system aims to improve water resource efficiency and support food security under conditions of climate variability and growing water demand.
Regional applicability
The technical architecture and principles of remote sensor-based irrigation management could be adapted to UK horticultural and arable contexts, though UK irrigation demands and climate conditions differ substantially from regions of acute water scarcity. Implementation would require localisation to UK soil types, precipitation patterns, and existing farm digital infrastructure.
Key measures
Real-time monitoring of soil moisture, humidity, temperature, and water levels; automated pump control logic; sensor calibration using linear interpolation; system architecture and wireless connectivity performance
Outcomes reported
The study proposes and describes a prototype smart irrigation system that monitors real-time environmental factors (moisture, humidity, temperature, water levels) and automates water pump control based on sensor readings. The system enables farmers to access comprehensive farm data remotely via ThingSpeak cloud and ThingView app interfaces.
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