Shubhankar Barui,
Animesh Arabinda Maity,
Susomoy Saha,
Priyanka Tamank,
Rudrajit Datta,
- Student, Department of Electrical Engineering, Greater Kolkata College of Engineering and Management, Dudhnai, Ramnagar-II, P.O. Piyali Town, Baruipur, South 24 Paragana,, West Bengal, India.
- Student, Department of Electrical Engineering, Greater Kolkata College of Engineering and Management, Dudhnai, Ramnagar-II, P.O. Piyali Town, Baruipur, South 24 Paragana,, West Bengal, India.
- Student, Department of Electrical Engineering, Greater Kolkata College of Engineering and Management, Dudhnai, Ramnagar-II, P.O. Piyali Town, Baruipur, South 24 Paragana,, West Bengal, India.
- Student, Department of Electrical Engineering, Greater Kolkata College of Engineering and Management, Dudhnai, Ramnagar-II, P.O. Piyali Town, Baruipur, South 24 Paragana,, West Bengal,
- Assistant Professor, Department of Electrical Engineering, Greater Kolkata College of Engineering and Management, Dudhnai, Ramnagar-II, P.O. Piyali Town, Baruipur, South 24 Paragana,, West Bengal,
Abstract
This paper outlines the creation and implementation of an Internet of Things (IoT)-driven smart agriculture monitoring system. It aims to tackle major issues in agriculture, such as inefficient irrigation, excessive resource use, and a lack of real-time data. The system focuses on the Arduino Uno, which connects to a variety of sensors: soil moisture for measuring substrate conditions, DHT11 for monitoring ambient temperature and humidity, MQ135 for checking air quality, a rain sensor for detecting precipitation, and an ultrasonic sensor for monitoring water tank levels. A relay-controlled DC pump automates irrigation based on actual site data. It activates only when soil moisture falls below a certain level, no rainfall is detected, and there is enough water in the tank. An ESP-01 Wi-Fi module manages communication, sending live sensor data to the Blynk 2.0 IoT platform. This allows for remote access and control through smartphones or web dashboards. To maintain hardware stability, a buck converter controls voltage, and a 20×4 LCD module displays local environmental data in real time. System simulations and these field studies demonstrate that timely, data-driven irrigation may significantly reduce water usage, reduce human labor, and improve crop management. Through the integration of on-site automation and cloud-based analytics, this approach offers a scalable and affordable solution that promotes responsible resource management and precision agriculture. Furthermore, the proposed system can be easily adapted to different crop types and environmental conditions, making it suitable for small- and medium-scale farmers. Its modular design supports future expansion with additional sensors and advanced decision-support algorithms, enhancing long-term sustainability and agricultural productivity.
Keywords: Adoption behaviour, agricultural extension, behavioural approach, comparative analysis, farmers’ attitudes, psychological determinants, sustainable agriculture
[This article belongs to Research & Reviews : Journal of Agricultural Science and Technology ]
Shubhankar Barui, Animesh Arabinda Maity, Susomoy Saha, Priyanka Tamank, Rudrajit Datta. Farmer’s Eye: A Sustainable Crop-Field Monitoring System. Research & Reviews : Journal of Agricultural Science and Technology. 2026; 15(01):19-27.
Shubhankar Barui, Animesh Arabinda Maity, Susomoy Saha, Priyanka Tamank, Rudrajit Datta. Farmer’s Eye: A Sustainable Crop-Field Monitoring System. Research & Reviews : Journal of Agricultural Science and Technology. 2026; 15(01):19-27. Available from: https://journals.stmjournals.com/rrjoast/article=2026/view=239220
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| Volume | 15 |
| Issue | 01 |
| Received | 11/12/2025 |
| Accepted | 29/12/2025 |
| Published | 26/03/2026 |
| Publication Time | 105 Days |
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