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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM68150
Volume:
10 |
10 |
Oct 2026
Pages:
1-4
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
SCHOOL OF COMPUTER APPLICATION
BBD UNIVERSITY, LUCKNOW
SCHOOL OF COMPUTER APPLICATION
BBD UNIVERSITY, LUCKNOW
Agriculture plays a vital role in ensuring food security and economic development, yet conventional farming practices often face challenges such as inefficient water utilization, unpredictable weather conditions, and limited real-time monitoring of crop environments. To address these challenges, this research proposes an IoT-Based Smart Agriculture Monitoring and Adaptive Irrigation System that integrates environmental sensing, real-time data processing, and intelligent irrigation management. The proposed system uses soil moisture, temperature, and humidity sensors connected to an ESP32 microcontroller to continuously collect field data. The collected information is transmitted to a cloud-based platform, enabling farmers to remotely monitor agricultural conditions through a web or mobile application. Unlike conventional sensor-based irrigation systems that rely primarily on fixed threshold values, the proposed approach focuses on adapting irrigation decisions according to soil moisture conditions, environmental parameters, and crop-specific water requirements. A notification mechanism can alert farmers when environmental conditions require attention, while automated pump control helps reduce unnecessary water consumption. The system is designed with affordability, scalability, and practical deployment in small and medium-sized farms in mind. Its performance can be evaluated using parameters such as soil moisture measurement accuracy, response time, water consumption, and irrigation efficiency. The proposed framework aims to support data-driven farming, reduce manual intervention, conserve water resources, and improve agricultural productivity. This research provides a foundation for developing sustainable and accessible smart agriculture solutions that can be extended in the future through weather forecasting and machine learning-based irrigation recommendations.
KEYWORDS
In conclusion, a smart irrigation system using IoT technology brings significant advantages to water management in agricultural, residential, and commercial settings. By leveraging real-time data, automation, and remote-control capabilities, these systems optimize water usage, conserve resources, and enhance plant health and productivity. The integration of IoT sensors and weather data enables precise monitoring of soil moisture levels, weather conditions, and plant water requirements. This information allows for the delivery of the right amount of water at the right time, avoiding overwatering and preventing plant stress or diseases caused by underwatering. The benefits of a smart irrigation system extend beyond water conservation. Users can remotely control and monitor the system through mobile apps or web interfaces, providing convenience and flexibility. The automation features save time and effort by eliminating manual irrigation. . Financially, the efficient use of water leads to cost savings, making the system economically attractive for homeowners, businesses, and farmers. Additionally, the data-driven insights. provided by the system enable better decision-making regarding irrigation strategies, crop selection, and resource management.
[1]. Daud, S. b., Abdul Rahman, R. b., & Mohd Zainal, M. H. A. (n.d.). IoT-Based Smart Agriculture Monitoring System. [2]. Anyalewechi, C. J., Opara, F. K., Madukwe, C. A., Owhondah, O. S., Oguzie, C. T., Nwokonta, I. S., & Olele-Victor, E. C. (2026). Development of an IoT-based soil monitoring system. Engineering Research Journal, 6(1), 30–37. https://doi.org/10.46654/17xm9h0 [3]. Design and Development of Smart Irrigation System Using Internet of Things. (2023). Nature Environment and Pollution Technology, 22(1). Full author details and page range should be verified against the original article. [4]. Reddy, V. S., Harivardhagini, S., & Sreelakshmi, G. (2024). IoT and cloud based sustainable smart irrigation system. E3S Web of Conferences, 472, 01026. https://doi.org/10.1051/e3sconf/202447201026 [5]. Mishra, A. K., Kumar, N., Sharma, V., Chauhan, V., & Kumar, S. (n.d.). IoT Based Smart Irrigation System. SSRN-hosted manuscript. Publication details should be verified from the original record. [6]. Ojha, R., Manvir, Fayaz, A., & Kaundal, M. (2025). Smart irrigation systems using the Internet of Things: Applications in farming systems. Journal of Advances in Biology & Biotechnology, 28(8), 361–376. https://doi.org/10.9734/jabb/2025/v28i82712
Publication Date
10/21/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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