PRABHU M

@jct.ac.in

Assistant Professor and Department of Mechanical Engineering
JCT College of Engineering and Technology

PRABHU M


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https://researchid.co/prabhu_06

RESEARCH, TEACHING, or OTHER INTERESTS

Mechanical Engineering, Renewable Energy, Sustainability and the Environment
4

Scopus Publications

1

Scholar Citations

1

Scholar h-index

Scopus Publications

  • Combustion Characteristics of Briquette Fuels from Neem Sawdust and Ayurvedic Waste Using Cassava Starch Binder
    Prabhu M, Dharmaraja C, Ramya P
    Combustion Science and Technology, 2026
  • Development of an IoT-Enabled Solar Grass Cutting Mechanism for Smart Farming
    Prabhu M, Naveen Kumar P, Kavin A, Arnold Ashin A, Thiyagarajan S
    Proceedings of the 4th IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation Iatmsi 2026, 2026
    The increasing demand for sustainable and automated agricultural operations has increased the need for efficient grass-cutting machines for farms practice. Traditional or conventional method of manual grass cutters require continuous human effort and consume non-renewable fuel. Also, it consumes timeintensive labour, making them inefficient for modern agricultural practices. By combining recent digital technology development in to field <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$l$</tex> evel a griculture s ector <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$m$</tex> akes <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$m$</tex> ore e fficient farming. In this paper an IoT (Internet of Things)-enabled solarpowered grass cutter machine is proposed. it designed to enhance precision, accuracy, and reduce dependency on manual labour. The proposed system consists of ESP32 Microcontroller which is powered by solar energy. Solar charging confirms continuous operation and supporting renewable energy adoption in agriculture sector. IoT connectivity permits end user to remotely monitor and control the grass cutting machine. It also ensures the improved safety and operational accessibility. The major advantages of proposed system are reduced carbon footprint, low maintenance, and autonomy in field operations. The applications of proposed system are agricultural farms, institutional campuses, public gardens, and smart farming environments. Our proposed works contributes to Sustainable Development Goals (SDGs) SDG 2 (Zero Hunger) by supporting agricultural efficiency, S DG 7 (Affordable and Clean Energy) through solar power.
  • Robust Medicinal Plant Classification via Transfer Learning and Compound-Scaled EfficientNetB0 Architecture
    Kannan M, Prabhu M, R. Vinothkanna, R. Arul, Jayaprakash M, A.C Ramkumar
    Proceedings of the 4th IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation Iatmsi 2026, 2026
    The information on medicinal plant species is essential to preserve medicinal plants and protect biodiversity. The identification of these plants by botanist experts are complex and time-consuming process. Whereas, the emergence of advanced technologies has led to the development of alternative methods for medicinal plant identification. D eep I earning <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$m$</tex> odels based on artificial i ntelligence a re p roviding a n a ccurate d etection of medicinal plants. The results indicate that EfficientNetB0 achieves outstanding performance, with a training accuracy of 99.41% and a validation accuracy of 95.83%. Serving as an effective decision support system, the EfficientNetB0 classifier can quickly and accurately identify medicinal plants. This study introduces an innovative approach to the detection of medicinal plant species using pre-trained Convolutional Neural Network (CNN) models, demonstrating the reliability of the classifier.
  • Effect of Cutting Parameters and Cooling Conditions on Surface Roughness and Tool Wear in Turning Ti-6Al-4V Titanium Alloy on an All-Gear Lathe: A Full Factorial Experimental Study
    D. Ananda Kumar, A. Murugarajan, M. Prabhu, K. Pratheesh
    Journal of Materials Engineering and Performance, 2025

RECENT SCHOLAR PUBLICATIONS

  • Development of an IoT-Enabled Solar Grass Cutting Mechanism for Smart Farming
    M Prabhu, N Kumar, A Kavin, S Thiyagarajan
    2026 IEEE International Conference on Interdisciplinary Approaches in … , 2026
    2026
  • Robust Medicinal Plant Classification via Transfer Learning and Compound-Scaled EfficientNetB0 Architecture
    M Kannan, M Prabhu, M Jayaprakash, R AC
    2026 IEEE International Conference on Interdisciplinary Approaches in … , 2026
    2026
  • Effect of Cutting Parameters and Cooling Conditions on Surface Roughness and Tool Wear in Turning Ti-6Al-4V Titanium Alloy on an All-Gear Lathe: A Full Factorial Experimental Study
    DA Kumar, A Murugarajan, M Prabhu, K Pratheesh
    Journal of Materials Engineering and Performance 34 (23), 28707-28725 , 2025
    2025
    Citations: 1
  • Combustion Characteristics of Briquettes Produced from Saw Dust and Kurumthotti Herbal
    DMV M.Prabhu, Dr. C. Dharmaraja
    International Journal of Science, Engineering and Technology 12 (5), 1-6 , 2024
    2024
  • Study of Turning process with Minimum Qquantity Lubrication (MQL) using Nano-cutting fluids
    DA Kumar, A Murugarajan, M Prabhu
    2023
  • Analysis of Waste Heat Recovery by Using Neem Biodiesel blend
    GVKRM M.Prabhu*, Dr.I.J.Isaac Premkumar1 ,M.Vignesh2
    Journal of Emerging Technologies and Innovative Research (JETIR) 6 (Issue 3 … , 2019
    2019

MOST CITED SCHOLAR PUBLICATIONS

  • Effect of Cutting Parameters and Cooling Conditions on Surface Roughness and Tool Wear in Turning Ti-6Al-4V Titanium Alloy on an All-Gear Lathe: A Full Factorial Experimental Study
    DA Kumar, A Murugarajan, M Prabhu, K Pratheesh
    Journal of Materials Engineering and Performance 34 (23), 28707-28725 , 2025
    2025
    Citations: 1
  • Development of an IoT-Enabled Solar Grass Cutting Mechanism for Smart Farming
    M Prabhu, N Kumar, A Kavin, S Thiyagarajan
    2026 IEEE International Conference on Interdisciplinary Approaches in … , 2026
    2026
  • Robust Medicinal Plant Classification via Transfer Learning and Compound-Scaled EfficientNetB0 Architecture
    M Kannan, M Prabhu, M Jayaprakash, R AC
    2026 IEEE International Conference on Interdisciplinary Approaches in … , 2026
    2026
  • Combustion Characteristics of Briquettes Produced from Saw Dust and Kurumthotti Herbal
    DMV M.Prabhu, Dr. C. Dharmaraja
    International Journal of Science, Engineering and Technology 12 (5), 1-6 , 2024
    2024
  • Study of Turning process with Minimum Qquantity Lubrication (MQL) using Nano-cutting fluids
    DA Kumar, A Murugarajan, M Prabhu
    2023
  • Analysis of Waste Heat Recovery by Using Neem Biodiesel blend
    GVKRM M.Prabhu*, Dr.I.J.Isaac Premkumar1 ,M.Vignesh2
    Journal of Emerging Technologies and Innovative Research (JETIR) 6 (Issue 3 … , 2019
    2019