Enhanced Strategies for Automated Roadside Plant Irrigation and Soil Moisture Sensing Using ESP8266 and Data Analytics
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| Natura: | Recurso digital |
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Zenodo
2025
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| author | Dr. S. V. Sonekar Mr. Harish J. Hedau Mr. Aditya N. Chandure Mr. Akshay M. Nagpure Ms. Laxmi R. Matte |
| author_facet | Dr. S. V. Sonekar Mr. Harish J. Hedau Mr. Aditya N. Chandure Mr. Akshay M. Nagpure Ms. Laxmi R. Matte |
| contents | <p>Urban landscape aesthetics depends on the greenery met by plants of various regions like roadside, on road dividers. However traditional water irrigation system prove inefficient in terms of watering as well as water conservation. To address this issue the we have developed automated irrigation using esp8266 that employs a network of soil moisture sensors that collects real time data about moisture content of soil. This information is transmitted to a web-based application, which processes and analyses data; visualizes it using predefined programs and algorithms. The algorithm computes the watering schedule depending upon watering schedule and the weather conditions. The key benefit of this system is that the user has easy remote access to monitor and control this irrigation system, hence helpful for monitoring and analyz-ing efficiently. Again, by automating the watering systems, they conserve water and promote the process of sustainable urban landscape development. After going through rigorous testing and evaluation, we the proposed system enhances not only better monitoring of water usage but also it enhances the health of the plants for longer run. With its flexibility and scalability, the sys-tem can adjust to different urban landscaping cases and facilitate the devel-opment of greener, more sustainable cities.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15359093 |
| institution | Zenodo |
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| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Enhanced Strategies for Automated Roadside Plant Irrigation and Soil Moisture Sensing Using ESP8266 and Data Analytics Dr. S. V. Sonekar Mr. Harish J. Hedau Mr. Aditya N. Chandure Mr. Akshay M. Nagpure Ms. Laxmi R. Matte <p>Urban landscape aesthetics depends on the greenery met by plants of various regions like roadside, on road dividers. However traditional water irrigation system prove inefficient in terms of watering as well as water conservation. To address this issue the we have developed automated irrigation using esp8266 that employs a network of soil moisture sensors that collects real time data about moisture content of soil. This information is transmitted to a web-based application, which processes and analyses data; visualizes it using predefined programs and algorithms. The algorithm computes the watering schedule depending upon watering schedule and the weather conditions. The key benefit of this system is that the user has easy remote access to monitor and control this irrigation system, hence helpful for monitoring and analyz-ing efficiently. Again, by automating the watering systems, they conserve water and promote the process of sustainable urban landscape development. After going through rigorous testing and evaluation, we the proposed system enhances not only better monitoring of water usage but also it enhances the health of the plants for longer run. With its flexibility and scalability, the sys-tem can adjust to different urban landscaping cases and facilitate the devel-opment of greener, more sustainable cities.</p> |
| title | Enhanced Strategies for Automated Roadside Plant Irrigation and Soil Moisture Sensing Using ESP8266 and Data Analytics |
| url | https://doi.org/10.5281/zenodo.15359093 |