Implementation of IoT-based irrigation system for Climate resilient farming
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Date
2025
Journal Title
Journal ISSN
Volume Title
Publisher
NHCE
Abstract
Implementation of IoT-based Smart irrigation System for Climate Resilient Farming is
pivotal for enhancing agricultural productivity and sustainability, particularly in the face
of climate change. This project implements an intelligent farming system using an Arduino
Uno microcontroller integrated with various sensors, including a DHT11 for temperature
and humidity, a pH sensor for soil acidity measurement, an LDR sensor for light intensity
detection, a soil moisture sensor, and a gas sensor for monitoring air quality. The collected
data is analyzed using machine learning algorithms to provide crop recommendations
tailored to the specific environmental conditions. In scenarios where soil moisture levels
fall below the optimal threshold, an automated pump system is activated to irrigate the
soil, ensuring efficient water usage and improved crop health. This approach not only
enhances agricultural productivity but also promotes resource conservation, supporting
farmers in making informed decisions and fostering resilience against climate variability.