Hafizza Abdul Ghapar

Papers

Total Citations

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About

Dr. Hafizza Abdul Ghapar is a researcher specializing in computational wood anatomy and automated species identification systems. Her work addresses a critical challenge in tropical forestry: the scarcity of certified wood identification experts despite the existence of over 3,000 wood species in tropical rainforests. Her most cited paper, "Online System for Automatic Tropical Wood Recognition" (2019, 4 citations), introduces a pioneering digital platform that leverages machine learning and image analysis to classify wood species based on anatomical features observable with a hand lens. This system democratizes species identification, reducing reliance on limited human expertise while maintaining accuracy. Dr. Ghapar's contributions bridge the gap between traditional forestry knowledge and modern AI, offering scalable solutions for combating illegal logging, ensuring sustainable timber trade, and supporting biodiversity conservation. Her work has been recognized for its practical impact in Malaysia and beyond, where automated recognition tools are increasingly vital for forest management and law enforcement. By integrating computer vision with botanical science, Dr. Ghapar is shaping the future of automated ecological monitoring.