R. Janaki

Papers

Total Citations

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About

R. Janaki is a researcher at the forefront of applying deep learning to agricultural and botanical challenges. Her primary research focuses on the development and optimization of convolutional neural network (CNN) algorithms for plant classification, a critical area for automating crop monitoring, biodiversity assessment, and precision agriculture. Her most-cited work, "CNN algorithm for plant classification in deep learning" (2021), has garnered 23 citations, establishing a foundational approach for using advanced neural architectures to distinguish plant species with high accuracy. This contribution is particularly notable for bridging the gap between complex deep learning models and practical, real-world agricultural applications. By refining CNN-based methodologies, Janaki has helped enable faster, non-invasive plant identification, reducing reliance on manual expertise. Her work is instrumental for students and researchers exploring computer vision in environmental science, offering a clear pathway from algorithm design to field deployment. Janaki’s research continues to influence the growing intersection of artificial intelligence and sustainable agriculture, making her a key figure in this rapidly evolving domain.