Smart Automated Irrigation through IoT Technology

This work presents the development and implementation of an IoT-based automatic irrigation system designed to optimize water usage in agricultural settings. The system integrates a Wireless Sensor Network (WSN) with the Blynk platform to enable real-time monitoring and control of irrigation parameters, including soil moisture, water level, and ambient light. Using an Arduino UNO microcontroller and an ESP-8266 Wi-Fi module, the system collects and processes sensor data to automate irrigation based on predefined thresholds. The Blynk platform facilitates remote data visualization and system control through customizable dashboards, allowing for both automatic and manual adjustments. The proposed system demonstrates a cost-effective solution for improving irrigation efficiency and reducing water waste, with implications for sustainable agricultural practices.

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Publication Details

Published
2024-09-18
DOI
https://doi.org/10.1109/icosec61587.2024.10722739
Citations
3
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
1.80
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article

Smart Automated Irrigation through IoT Technology

R. Hema, B. Jyothi, S. Subbulakshmi, M. Vignesh et al.
3 citations
Smart Agriculture and AI
1.80
article

Smart Automated Irrigation through IoT Technology

R. Hema, B. Jyothi, S. Subbulakshmi, M. Vignesh, R. Gurulakshmi, M Blessy Queen Mary
article en
3 citations

Abstract

This work presents the development and implementation of an IoT-based automatic irrigation system designed to optimize water usage in agricultural settings. The system integrates a Wireless Sensor Network (WSN) with the Blynk platform to enable real-time monitoring and control of irrigation parameters, including soil moisture, water level, and ambient light. Using an Arduino UNO microcontroller and an ESP-8266 Wi-Fi module, the system collects and processes sensor data to automate irrigation based on predefined thresholds. The Blynk platform facilitates remote data visualization and system control through customizable dashboards, allowing for both automatic and manual adjustments. The proposed system demonstrates a cost-effective solution for improving irrigation efficiency and reducing water waste, with implications for sustainable agricultural practices.

Chaitanya Bharathi Institute of Technology (IN), Karpagam Academy of Higher Education (IN), Bharath University (IN)
Openalex Percentile: Top 13%
Smart Agriculture and AI
1.80
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Smart Automated Irrigation through IoT Technology — R. Hema, B. Jyothi, et al. · (2024) | TGRS Research Map | TGRS