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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM61893

Smart Agriculture Rover: IoT Based Irrigation System for Home Gardening

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM61893

Volume:

10 |

4 |

April 2026

Pages:

1-32

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM61893

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.

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Authors

AS

Anjali Satdeve

Department of Computer Science

Jhulelal Institute of Technology, Nagpur

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KM

Kasturi Mahale

Department of Computer Science

Jhulelal Institute of Technology, Nagpur

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IC

Ishika Choudhary

Department of Computer Science

Jhulelal Institute of Technology, Nagpur

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SB

Suhani Borikar

Department of Computer Science

Jhulelal Institute of Technology, Nagpur

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HB

Harshika Bighane

Department of Computer Science

Jhulelal Institute of Technology, Nagpur

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Mentors

DUPT

Dr. Uma Patel Thakur

Department of Computer Science

Jhulelal Institute of Technology, Nagpur

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Abstract

Agriculture and home gardening require regular monitoring of soil conditions to maintain healthy plant growth. Traditional watering methods depend on manual effort and often result in over-watering or under-watering, which leads to wastage of water and reduced plant productivity. With the advancement of Internet of Things (IoT) technology and automation systems, smart irrigation solutions are becoming increasingly popular for efficient plant care. The Smart Agriculture Rover: IoT Based Irrigation System for Home Gardening is designed to automate irrigation using soil moisture sensing technology. The system uses an ESP32 microcontroller connected with soil moisture sensors to continuously monitor soil conditions. When the soil moisture level drops below a predefined threshold value, the rover automatically activates the sprinkler system to irrigate plants. Once the required moisture level is achieved, watering is stopped automatically. Unlike traditional irrigation systems that remain fixed at one location, the proposed rover is mobile and capable of moving across different plant locations. This mobility allows monitoring and watering multiple plants efficiently using a single device. The rover can also be controlled remotely through a web-based interface created using ESP32 Wi-Fi hotspot functionality (SSID: ESP32_CAR). Users can monitor soil conditions and control rover movement using a browser interface. The system reduces human effort, minimizes water wastage, and improves plant health through smart monitoring and automation. It is cost-effective and suitable for home gardens, terrace gardens, kitchen gardens, and small agricultural setups.

KEYWORDS

Keywords: Smart Agriculture IoT Irrigation System Agricultural Rover Soil Moisture Sensor ESP32 Smart Gardening

Cite This Article

Anjali Satdeve, Kasturi Mahale, Ishika Choudhary, Suhani Borikar, Harshika Bighane, Dr. Uma Patel Thakur, "Smart Agriculture Rover: IoT Based Irrigation System for Home Gardening," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, pp. 1-32, April 2026. https://doi.org/10.55041/IJSREM61893

Full Article/Conclusion

This chapter presents the final conclusion of the Smart Agricultural Rover system based on the implementation and testing results. The system integrates IoT technology, embedded systems, and automation techniques to achieve efficient irrigation and wireless rover control.

References

CHAPTER 11 REFERENCES 1] P. Patel and R. Shah, “IoT based smart irrigation system for efficient water management,” International Journal of Smart Agriculture, vol. 5, no. 2, pp. 45–50, 2020.  [2]                M. E. Karar, F. Alotaibi, A. Al Rasheed, and O. Reyad, “Smart agricultural irrigation using IoT and UAV-based systems,” IEEE Access, vol. 9, pp. 23456–23465, 2021.   [3]                S. Chowdhury, S. Sen, and S. Janardhanan, “Comparative analysis of soil moisture sensors for smart irrigation,” Sensors and Systems Journal, vol. 12,no. 4, pp. 110–118, 2022.  [4]                R. Nagalingam, V. Chintamaneni, and K. Paramasivan, “Smart agriculture: automatic monitoring of soil moisture and irrigation control,” Current Agriculture Research Journal, vol. 11, no. 3, pp. 1–10, 2023. [5]                X. Zhang, G. Feng, and X. Sun, “Advanced technologies of soil moisture monitoring in precision agriculture,” Journal of Agriculture and Food Research, vol. 18, pp. 101473, 2024.  [6]                H. Hosna et al., “Soil moisture monitoring technologies in smart agriculture: a comprehensive review,” Farming Systems, vol. 4, no. 2, pp. 100189, 2025. [7]                S. R. Vijayalakshmi and S. Murugan, “Automation of irrigation system using IoT technology,” International Journal of Advanced Research in Computer Science, vol. 7, no. 6, pp. 234–238, 2016.  [8]                K. Lakshmisudha, S. Hema, N. Kaushik, and K. K. Reddy, “Smart agriculture monitoring using IoT,” International Journal of Engineering and Technology, vol. 8, no. 2, pp. 45–50, 2017.  [9]                J. Gubbi, R. Buyya, S. Marusic, and M. Palaniswami, “Internet of Things (IoT): A vision, architectural elements, and future directions,” Future Generation Computer Systems, vol. 29, no. 7, pp. 1645–1660, 2015.  [10]             N. Ahmed, D. De, and I. Hussain, “Internet of Things (IoT) for smart precision agriculture and farming in rural areas,” IEEE Internet of Things Journal, vol. 5, no. 6, pp. 4890–4899, 2018.  

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Publication Date

5/10/2026

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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