Application of Internet of Things (IoT) in Boosting Irrigation Efficiency for Sustainable Agriculture

This paper presents the design, implementation, and evaluation of an Internet of Things (IoT)-based irrigation system aimed at improving water use efficiency in Indian agriculture. The system employs an ESP32 microcontroller integrated with soil moisture, temperature, humidity, and pH sensors, connected to a water pump and cloud storage via Google Sheets. SMS alerts are sent to farmers for real-time decision support. Field testing revealed up to 40% water savings, 10–15% yield improvements, and a return on investment within 2 years. A survey of 1100 farmers validated adoption potential, with 85.6% recommending IoT irrigation. Statistical analysis (Chi-square, t-test, regression) confirmed that adoption was independent of demographics and valued for multiple benefits. This study contributes to sustainable agriculture and aligns with national initiatives such as PMKSY and the Digital Agriculture Mission.

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Publication Details

Published
2025-09-15
DOI
https://doi.org/10.38124/ijisrt/25aug1573
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
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article

Application of Internet of Things (IoT) in Boosting Irrigation Efficiency for Sustainable Agriculture

K. K. Singh, Pratyush Kumar Prabhat
Smart Agriculture and AI
article

Application of Internet of Things (IoT) in Boosting Irrigation Efficiency for Sustainable Agriculture

K. K. Singh, Pratyush Kumar Prabhat
article en

Abstract

This paper presents the design, implementation, and evaluation of an Internet of Things (IoT)-based irrigation system aimed at improving water use efficiency in Indian agriculture. The system employs an ESP32 microcontroller integrated with soil moisture, temperature, humidity, and pH sensors, connected to a water pump and cloud storage via Google Sheets. SMS alerts are sent to farmers for real-time decision support. Field testing revealed up to 40% water savings, 10–15% yield improvements, and a return on investment within 2 years. A survey of 1100 farmers validated adoption potential, with 85.6% recommending IoT irrigation. Statistical analysis (Chi-square, t-test, regression) confirmed that adoption was independent of demographics and valued for multiple benefits. This study contributes to sustainable agriculture and aligns with national initiatives such as PMKSY and the Digital Agriculture Mission.

Openalex Percentile: Top 82%
Smart Agriculture and AI
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