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| Main Authors: | , , , , |
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| Format: | Recurso digital |
| Language: | |
| Published: |
Zenodo
2025
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| Online Access: | https://doi.org/10.5281/zenodo.14831456 |
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Table of Contents:
- <p>New ideas to lessen human labour in agriculture have been made possible by technological advancements, especially in the areas of IoT, AI, and machine learning. Inefficient irrigation techniques are frequently the result of farming in areas with unpredictable rainfall and high temperatures, which presents difficulties for the sustained production of crops. Using IoT-based sensors, including soil moisture sensors, DHT11 sensors, and a NodeMCU microcontroller, this study aims to develop an autonomous and reasonably priced irrigation system. The system uses a fuzzy logic model to optimise water use based on weather forecasts, temperature, humidity, and soil moisture data. Incorporating solar energy also minimises carbon footprints, guarantees sustainability, and lessens reliance on traditional energy sources. The suggested system tackles the twin goals of effective water management and ecological.</p>