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 Journal of Statistics and Management Systems cover
Hybrid ·Peer-reviewed·ISSN (Online): 2169-0014·ISSN (Print): 0972-0510

Monthly Journal: Publishes peer-reviewed aticles on theoretical and applied statistics and management systems, expoloring industrial statistics, actuarial and decision sciences.

Issues up to 2022 co-published with and available at:Taylor & Francis Online
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Open Access Research Article

IoT-driven sprinklers : Revolutionizing landscape optimization through smart watering solutions system

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pp. 349–357Vol. 27Issue 2March 2024DOI: 10.47974/JSMS-1260XML
Published Online:
30 Mar 2024
Article type:
Research Article
Language:
EN
Article no.:
JSMS-1260
Pages:
349–357

Abstract

In India, intelligent sprinkler systems powered by the Internet of Things have transformed landscape care, replacing outdated watering practices. These systems dynamically adjust to environmental changes through connectivity, weather data, and monitoring. They ensure precise and effective water allocation, promoting conservation while fostering vibrant plant life. Sensors, real-time tracking, and meteorology have connected smart technologies to moisture management. This allows automatic adaptation to varying situations, enhancing resource preservation. Internet-connected sprinklers can analyze and respond to soil moisture, temperatures, and weather forecasts. This gives users unprecedented oversight, promoting sustainability and mitigating water waste. As we embrace landscape enhancement, these IoT sprinkler systems signify progress. They are reshaping intelligent and water efficient gardening and landscaping for the future.

Keywords

Subject Classifications

Primary 93A30Secondary 49K15

References

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