A. R. Deepika

KPR Institute of Engineering and Technology

Papers

Total Citations

H-Index

About

A. R. Deepika is a rising researcher at the forefront of applied artificial intelligence, specializing in deep learning and computer vision for real-world systems. Her work bridges the gap between advanced object detection algorithms and practical automation, with a primary focus on agricultural technology and robotics. Deepika’s most impactful contribution is her pioneering implementation of YOLOv9 for enhanced weed detection in agriculture, a study that has already garnered 6 citations since its 2024 publication. This work demonstrates how state-of-the-art AI can empower farmers with early, precise weed management strategies to boost crop yields and reduce costs. Expanding the versatility of YOLOv9, she has also explored its integration into robotic finger applications for real-time object handling, achieving notable improvements in precision and responsiveness. Though early in her career, Deepika’s focused application of cutting-edge models to tangible problems—from field monitoring to dexterous manipulation—marks her as an innovator in AI-driven automation. Her research not only advances technical benchmarks but also offers scalable solutions for critical sectors like agriculture and manufacturing.