R. Sivasankari

Papers

Total Citations

H-Index

About

R. Sivasankari is a researcher at the forefront of applying deep learning to agricultural and environmental challenges. Her work primarily focuses on leveraging convolutional neural networks (CNNs) for plant classification, a critical area for automating crop monitoring and biodiversity assessment. Her most-cited paper, "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 from image data. This contribution is particularly impactful for precision agriculture, where rapid, accurate identification supports yield optimization and pest management. Sivasankari’s research bridges computer vision and botany, offering scalable solutions that reduce reliance on manual expertise. By demonstrating how deep learning can be adapted for domain-specific tasks, she has helped pave the way for more accessible, AI-driven tools in ecological and agricultural research. Her work continues to inspire students and researchers exploring the intersection of machine learning and plant science, highlighting the potential of CNNs to transform how we understand and manage plant life.