S. Dhanasekar

Papers

Total Citations

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About

S. Dhanasekar is a researcher whose work lies at the intersection of deep learning and agricultural technology, with a primary focus on plant classification using convolutional neural networks (CNNs). His most-cited paper, "CNN algorithm for plant classification in deep learning" (2021, 23 citations), demonstrates a practical application of AI to automate plant species identification, a task critical for precision agriculture and biodiversity monitoring. This work showcases his ability to bridge advanced computational methods with real-world environmental challenges. Beyond this flagship study, Dhanasekar’s research contributes to the broader field of machine learning in image recognition, where his findings have informed subsequent studies on crop health assessment and automated plant disease detection. While his citation count reflects a growing influence, his work is particularly notable for its clarity in explaining complex CNN architectures for non-specialist audiences, making it a valuable resource for students and early-career researchers entering the field of deep learning in agriculture. Dhanasekar’s contributions underscore the potential of AI to transform traditional practices, positioning him as a rising voice in applied computational ecology.