V. Subashini

Papers

Total Citations

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About

Dr. V. Subashini is a researcher whose work sits at the intersection of deep learning, plant science, and robotic cognition. Her most impactful contribution, the 2021 paper "CNN algorithm for plant classification in deep learning" (23 citations), demonstrates a practical application of convolutional neural networks to automate plant species identification, a key challenge in agriculture and environmental monitoring. This work has provided a foundation for further research in precision farming and biodiversity assessment. Earlier, Dr. Subashini explored cognitive robotics with her 2012 paper "Optimised Computational Visual Attention Model for Robotic Cognition," which sought to improve how machines perceive and prioritize visual information, mimicking human attention mechanisms. While this earlier work received fewer citations, it reflects a sustained interest in intelligent systems and computer vision. Her research trajectory—from foundational cognitive models to applied deep learning—shows a commitment to bridging theoretical advances with real-world solutions. Dr. Subashini’s contributions are particularly valuable for students and researchers working on deep learning for plant science, offering a clear example of how neural networks can solve domain-specific problems.