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About

Hena Ray is a researcher at the forefront of agricultural robotics, with a focus on developing intelligent systems for fruit harvesting, pest control, and crop monitoring. Her work integrates deep learning, computer vision, and robotic manipulation to address critical challenges in precision agriculture. Ray’s most cited paper, “A Two-Stage Deep-Learning Model for Detection and Occlusion-Based Classification of Kashmiri Orchard Apples for Robotic Harvesting” (2023, 22 citations), introduces a novel approach to fruit detection in complex orchard environments, significantly improving robotic harvesting accuracy. She also contributed to the “Design and Development of Intelligent Pesticide Spraying System for Agricultural Robot” (2021, 19 citations), showcasing her ability to create practical, deployable solutions for crop protection. Her research on ANFIS-based inverse kinematics and dynamic analysis of tracked mobile manipulators further demonstrates her expertise in robot control and mobility over rough terrain. With a growing citation record and a focus on real-world agricultural applications, Ray’s work is paving the way for more efficient, automated farming systems.