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Main Author: Shanjida Osman Tasnim Oaishe, Mispia Paul, Mohammed Saifuddin Munna
Format: Recurso digital
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Published: Zenodo 2025
Online Access:https://doi.org/10.5281/zenodo.14880673
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author Shanjida Osman Tasnim Oaishe, Mispia Paul, Mohammed Saifuddin Munna
author_facet Shanjida Osman Tasnim Oaishe, Mispia Paul, Mohammed Saifuddin Munna
contents <p>Smart drip irrigation systems are revolutionizing agriculture by using IoT technology to optimize water usage and improve crop yields. This research introduces an advanced IoT-based drip irrigation system built on an Arduino Nano platform, which integrates soil moisture sensors, weather data, and crop-specific requirements to create efficient irrigation schedules. The system continuously monitors real-time data, including soil moisture, temperature, humidity, and water levels, and processes this information to control automated valves, ensuring precise water delivery while minimizing waste. With wireless communication<br>modules, farmers can remotely monitor and adjust irrigation settings via an online, reducing the need for on-site management. The system's flexibility and scalability make it adaptable for various crops and farming conditions, providing a sustainable, cost-effective solution that conserves water, increases yields, and reduces labor costs. This study highlights the potential of IoT-based smart drip irrigation systems to enhance agricultural efficiency, address water scarcity challenges, and promote sustainable farming practices. </p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_14880673
institution Zenodo
language
publishDate 2025
publisher Zenodo
record_format zenodo
spellingShingle Smart IoT-Based Drip Irrigation System for Enhancing Agricultural Efficiency
Shanjida Osman Tasnim Oaishe, Mispia Paul, Mohammed Saifuddin Munna
<p>Smart drip irrigation systems are revolutionizing agriculture by using IoT technology to optimize water usage and improve crop yields. This research introduces an advanced IoT-based drip irrigation system built on an Arduino Nano platform, which integrates soil moisture sensors, weather data, and crop-specific requirements to create efficient irrigation schedules. The system continuously monitors real-time data, including soil moisture, temperature, humidity, and water levels, and processes this information to control automated valves, ensuring precise water delivery while minimizing waste. With wireless communication<br>modules, farmers can remotely monitor and adjust irrigation settings via an online, reducing the need for on-site management. The system's flexibility and scalability make it adaptable for various crops and farming conditions, providing a sustainable, cost-effective solution that conserves water, increases yields, and reduces labor costs. This study highlights the potential of IoT-based smart drip irrigation systems to enhance agricultural efficiency, address water scarcity challenges, and promote sustainable farming practices. </p>
title Smart IoT-Based Drip Irrigation System for Enhancing Agricultural Efficiency
url https://doi.org/10.5281/zenodo.14880673