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Paper ID:10.55041/IJSREM.RACCES065

Renewable Energy Based Mppt Design In Smart Agriculture Monitoring System

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM.RACCES065

Volume:

10 |

4 |

April 2026

Pages:

1-5

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem.RACCES065

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

AM

Abirami M

Electronics and Communication Engineering

Bharathiyar Institute of Engineering for women (Autonomous) Salem, TamilNadu, India

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AJ

Archana J

Electronics and Communication Engineering

Bharathiyar Institute of Engineering for women (Autonomous) Salem, TamilNadu, India

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AA

Agalya A

Electronics and Communication Engineering

Bharathiyar Institute of Engineering for women (Autonomous) Salem, TamilNadu, India

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AR

Agarshna R

Electronics and Communication Engineering

Bharathiyar Institute of Engineering for women (Autonomous) Salem, TamilNadu, India

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Mentors

MS

Ms.Akila S

Electronics and Communication Engineering

Bharathiyar Institute of Engineering for women (Autonomous) Salem, TamilNadu, India

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Abstract

Abstract: The increasing demand for sustainable agricultural practices has led to the integration of renewable energy sources with smart monitoring systems. This paper presents the design and implementation of a renewable energy-based Maximum Power Point Tracking (MPPT) system for smart agriculture applications. The proposed system utilizes solar photovoltaic (PV) energy as the primary power source to ensure uninterrupted operation in remote farming areas. An efficient MPPT algorithm is employed to maximize energy extraction under varying environmental conditions such as irradiance and temperature fluctuations. The harvested energy is used to power a smart agriculture monitoring system equipped with sensors for soil moisture, temperature, humidity, and water level detection. Data collected from these sensors is transmitted through an IoT-based platform for real-time monitoring and decision-making. The integration of MPPT enhances system efficiency, reduces energy loss, and improves reliability. Additionally, the system supports automated irrigation control, thereby optimizing water usage and increasing crop productivity. The proposed model is cost-effective, energy-efficient, and environmentally friendly, making it suitable for modern precision agriculture. Experimental results demonstrate improved power utilization and stable system performance under dynamic conditions. This work contributes to the development of sustainable and intelligent farming solutions using renewable energy technologies.

KEYWORDS

Mppt Smart Agriculture Monitoring System

Cite This Article

Abirami M, Archana J, Agalya A, Agarshna R, Ms.Akila S, "Renewable Energy Based Mppt Design In Smart Agriculture Monitoring System," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, pp. 1-5, April 2026. https://doi.org/10.55041/ijsrem.RACCES065

Full Article/Conclusion

The renewable energy-based smart agriculture monitoring system provides an efficient and sustainable solution for modern farming challenges. By integrating solar photovoltaic energy with an MPPT controller, the system ensures maximum power extraction and reliable operation under varying environmental conditions. The use of sensors such as soil moisture, temperature, humidity, and water level enables continuous real-time monitoring of agricultural parameters. This allows timely decision-making and supports automated irrigation, reducing water wastage and improving crop productivity. The incorporation of IoT technology ensures seamless data transmission to cloud platforms, enabling remote monitoring and control through mobile or web applications. The system is especially beneficial for rural and remote areas where power availability is limited, as it operates independently using renewable energy sources. Overall, the proposed system enhances energy efficiency, reduces operational costs, and promotes sustainable farming practices. It is a scalable and cost-effective solution that can be widely adopted to achieve smart and precision agriculture.

References

1.                  T. Esram and P. L. Chapman, “Comparison of Photovoltaic Array Maximum Power Point Tracking Techniques,” IEEE Transactions on Energy Conversion, 2007. 2.                  M. A. Elgendy, B. Zahawi, and D. J. Atkinson, “Assessment of Perturb and Observe MPPT Algorithm Implementation Techniques,” IEEE Transactions on Sustainable Energy, 2013. 3.                  Rajkumar Buyya et al., “Internet of Things: Principles and Paradigms,” Morgan Kaufmann, 2016. 4.                  Vijay Madisetti & Arshdeep Bahga, “Internet of Things: A Hands-On Approach,” Universities Press, 2015. 5.                  IEEE, “IoT-Based Smart Agriculture Monitoring Systems,” IEEE Research Publications. 6.                  Elsevier, “Smart Farming Using IoT and Renewable Energy,” Journal of Agricultural Systems. 7.                  Springer, “Precision Agriculture and IoT-Based Monitoring Systems,” Springer Journals, 2019. 8.                  Food and Agriculture Organization (FAO), “Smart Agriculture and Sustainable Farming Practices,” FAO Reports. 9.                  International Renewable Energy Agency (IRENA), “Renewable Energy in Agriculture,” IRENA Publications. 10.               Cisco, “IoT Solutions for Smart Agriculture and Monitoring,” Cisco White Papers.

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Publication Date

5/2/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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