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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM65269
Volume:
10 |
6 |
Jun 2026
Pages:
1-5
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.
DEPARTMENT OF ELECTRONICS AND TELECOMMUNICATION
SINHGAD COLLEGE OF ENGINEERING

DEPARTMENT OF ELECTRONICS AND TELECOMMUNICATION
SINHGAD COLLEGE OF ENGINEERING

DEPARTMENT OF ELECTRONICS AND TELECOMMUNICATION
SINHGAD COLLEGE OF ENGINEERING
Department of Electronics and Telecommunication Engineering,
Sinhgad College of Engineering, Pune
Grain storage is a critical challenge in agricultural supply chains, with improper storage conditions leading to significant losses due to temperature rise, moisture accumulation, and pest infestation. Traditional manual monitoring methods are time-consuming, inefficient, and potentially unsafe for workers. This paper presents the design and implementation of a Grain Silo Robot — an IoT-based automated system for real-time monitoring and remote control of grain storage environments. The proposed system integrates an ESP32 microcontroller, DHT11 temperature and humidity sensor, L298N dual H-bridge motor driver, and four DC motors on a mobile robotic platform. Environmental data is transmitted wirelessly to the Blynk mobile application, enabling real-time monitoring and remote directional control of the robot via six virtual control buttons. The system was tested in a controlled enclosure simulating a grain silo, achieving temperature deviation of 0.2–0.8°C and humidity deviation of 1% RH compared to manual measurements. Battery autonomy of 3.5–4 hours and indoor Wi-Fi range of 15–20 meters were recorded. Experimental results confirm the system's reliability, low cost, and suitability for smart agricultural storage applications.
KEYWORDS
This paper presented the Grain Silo Robot, an IoT-based mobile robotic system for automated real-time monitoring of grain storage conditions. The system successfully integrates ESP32, DHT11, L298N motor driver, and Blynk into a cohesive, low-cost solution. Experimental results demonstrated temperature deviations of 0.2–0.8°C and humidity deviations of 1% RH, confirming the reliability of the sensing system. The robot's mobility enables data collection from multiple silo locations, addressing the spatial limitation of static installations. Battery autonomy of 3.5–4 hours and effective Wi-Fi range of 15–20 meters validate the system's operational feasibility. The proposed system demonstrates that affordable embedded hardware combined with IoT platforms can provide practical solutions to agricultural storage challenges. Future Work: Replacing DHT11 with DHT22 or SHT31 for improved precision; integrating MQ-series gas sensors for CO2 and ammonia detection; adding ultrasonic sensors for grain level measurement; upgrading the chassis for real industrial environments; implementing autonomous navigation with obstacle avoidance; and cloud-based data logging with automated threshold alerts.
[1] S. Patil and R. Kumbhar, "Smart grain storage monitoring system using Arduino and DHT11 sensor," International Journal of Engineering Research and Technology, vol. 9, no. 4, pp. 312–317, 2020. [2] A. Rajput, P. Sharma, and K. Verma, "IoT-based silo monitoring using NodeMCU and ThingSpeak," IJIRCCE, vol. 9, no. 5, pp. 4521–4527, 2021. [3] R. Kumar and N. Singh, "ESP32 microcontroller for IoT applications: A comprehensive review," Journal of Embedded Systems and IoT, vol. 3, no. 2, pp. 45–52, 2022. [4] M. Sharma, P. Gupta, and A. Tiwari, "Mobile robotic platform for agricultural environment monitoring," International Journal of Robotics and Automation, vol. 7, no. 3, pp. 98–105, 2021. [5] R. Verma and A. Gupta, "Blynk IoT platform for embedded system monitoring and control," IJARECE, vol. 10, no. 6, pp. 201–207, 2021. [6] P. Desai, S. Joshi, and M. Kulkarni, "Wireless communication protocols for agricultural IoT: A comparative study," Smart Agriculture Technology, vol. 2, pp. 100032, 2022. [7] H. Patel and K. Mehta, "Autonomous robot for greenhouse environment monitoring," IRJET, vol. 8, no. 7, pp. 1456–1461, 2021. [8] Food and Agriculture Organization, "The State of Food and Agriculture 2019: Moving forward on food loss and waste reduction," FAO, Rome, 2019.
Publication Date
6/21/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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