About
Professional SummaryDr. T. Angamuthu [ORCID: 0009-0006-1705-3434] completed his Ph.D. in Computer Science at Vels University on 19 August 2026. His research interests encompass deep learning, image processing, and agricultural informatics, with a particular emphasis on AI-based crop disease detection and monitoring. He has co-authored several Scopus-indexed research papers and is actively engaged in interdisciplinary research projects focused on smart agriculture and the application of artificial intelligence to address challenges in agricultural practices.
Education
Academic Background-
Ph.D. Student Vels University, Chennai, India Computer Science | Completed: 2023
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M.Phil. Thiruvalluvar University, India Computer & Information Technology | Completed: 2016
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M.C.A Anna University, India Computer and Information Sciences | Completed: 2011
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B.Sc. Thiruvalluvar University, India Computer Science | Completed: 2007
Publications (8)
Selected Scholarly Contributions
VGG16TLCCNN: Hybrid VGG16-Transfer Learning and Custom CNN Model for Sugarcane Disease Classification
T. Angamuthu
2025
Hybrid deep learning technique for Identifying Diseases in Sugar-cane Crops
2025
Comparative Analysis of Deep Learning and Optimization Techniques for Sugarcane Disease Classification
2025
Employing Visiοn Transfοrmеrs for High-Prеcisiοn Sugarcanе Disеasе Classificatiοn: A Dееp Lеarning Pеrspеctiνе
2025
A COMPARATIVE ANALYSIS OF CNN, GA, RF & RNN FOR IMAGE CLASSIFICATION: INSIGHTS ON PERFORMANCE AND OPTIMISATION USING HYBRID APPROACHES
T. Angamuthu
2025
A novel hybrid cnn-rnn model for sugarcane disease identification in agricultural fields
2025
An Innovative Techniques on Disease Recognition Approaches in Sugarcane Plants Using Conventional Neural Network
2024
A Research Investigation on Conventional Neural Network-Based Disease Detection Techniques for Sugarcane Plants
2024