IoT-Based Smart Irrigation System
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| Autores principales: | , , , , |
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| Formato: | Recurso digital |
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Zenodo
2025
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| _version_ | 1866901744324182016 |
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| author | Annsil Tomy A Amith Gigy Alenstil T S Vinu Jose Remya P C |
| author_facet | Annsil Tomy A Amith Gigy Alenstil T S Vinu Jose Remya P C |
| contents | <p><span lang="EN-US">It is widely acknowledged that traditional agricultural practices must evolve to meet the growing global demand for food, all while addressing critical challenges such as water scarcity and the adverse effects of climate change. The urgency for environmentally sustainable and resource-efficient agricultural methods has never been greater. In response to these demands, IoT-based Smart Agriculture has emerged as a promising and innovative approach that integrates advanced technology with conventional farming. One notable application within this domain is the Smart Irrigation System, which leverages IoT to optimize water usage in agricultural fields. By using soil moisture sensors, the system continuously monitors soil conditions and automatically adjusts irrigation schedules based on real-time data, ensuring efficient and targeted water distribution. This minimizes water wastage, maintains ideal soil moisture levels, and ultimately supports better crop growth. The system is controlled through a user-friendly web application that allows farmers to monitor and manage irrigation remotely, compare IoT-generated data with manually input values, and review detailed irrigation history for informed decision-making. In addition to conserving water, the Smart Irrigation System reduces labor costs and enhances overall productivity, making it a powerful tool in advancing sustainable agriculture. This project highlights the transformative potential of IoT in fostering smart farming practices and addressing the pressing environmental and resource-related challenges faced by modern agriculture.</span></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15364425 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | IoT-Based Smart Irrigation System Annsil Tomy A Amith Gigy Alenstil T S Vinu Jose Remya P C Smart Irrigation System Web Based Monitoring Arduino <p><span lang="EN-US">It is widely acknowledged that traditional agricultural practices must evolve to meet the growing global demand for food, all while addressing critical challenges such as water scarcity and the adverse effects of climate change. The urgency for environmentally sustainable and resource-efficient agricultural methods has never been greater. In response to these demands, IoT-based Smart Agriculture has emerged as a promising and innovative approach that integrates advanced technology with conventional farming. One notable application within this domain is the Smart Irrigation System, which leverages IoT to optimize water usage in agricultural fields. By using soil moisture sensors, the system continuously monitors soil conditions and automatically adjusts irrigation schedules based on real-time data, ensuring efficient and targeted water distribution. This minimizes water wastage, maintains ideal soil moisture levels, and ultimately supports better crop growth. The system is controlled through a user-friendly web application that allows farmers to monitor and manage irrigation remotely, compare IoT-generated data with manually input values, and review detailed irrigation history for informed decision-making. In addition to conserving water, the Smart Irrigation System reduces labor costs and enhances overall productivity, making it a powerful tool in advancing sustainable agriculture. This project highlights the transformative potential of IoT in fostering smart farming practices and addressing the pressing environmental and resource-related challenges faced by modern agriculture.</span></p> |
| title | IoT-Based Smart Irrigation System |
| topic | Smart Irrigation System Web Based Monitoring Arduino |
| url | https://doi.org/10.5281/zenodo.15364425 |