D. Hemamalini

Papers

Total Citations

H-Index

About

D. Hemamalini is a researcher specializing in computer vision and deep learning, with a particular focus on agricultural automation. Her most cited work, "Fruits and Vegetables Detection using YOLO Algorithm" (2023), addresses a critical challenge in robotic harvesting: accurate fruit and vegetable recognition under complex environmental conditions. Hemamalini tackles issues such as variable lighting, occlusion from branches and leaves, fruit clustering, and shadow interference—factors that have historically hindered automated detection systems. By applying the YOLO (You Only Look Once) algorithm, she demonstrates a robust approach to real-time object detection in agricultural settings, contributing to the advancement of precision farming and autonomous harvesting technologies. While her citation count is still growing, her work represents an important step toward making robotic harvesting more reliable and efficient. Hemamalini's research sits at the intersection of artificial intelligence and agriculture, offering practical solutions to real-world problems in food production and supply chain automation. Her contributions are particularly relevant for students and researchers exploring deep learning applications in non-traditional domains like agriculture.