A team from the University of the Philippines Los Baños - College of Forestry and Natural Resources visited CENRO Calaca and conducted pilot testing of the web application called “kAhoI: Image-based wood identification using artificial intelligence”.
The team, led by Dr. Rosalie Mendoza, first presented the rationale and user interface of the web application which was attended by personnel from Enforcement and Monitoring Section (EMS), Planning and Support Unit (PSU) and Conservation and Development Section (CDS). The web application has a wood identification database containing various macroscopic end-grain images taken from authentic samples of twenty (20) selected Philippines species that are significant to DENR and WFPs. It automates the classification of raw end-grain images of different wood samples using the Artificial Intelligence (AI) classifier. The user only needs to upload an image of the end grain of the wood.
To evaluate the efficiency of the web application the team proceeded to CENRO Calaca’s impounding area and took end grain macroscopic photos of confiscated woods using a macro lens called Xylorix WIDK-24X01. Photos were then uploaded and processed on the kAhoI application to verify and identify the species of the wood.
The development of the said web application aims to provide various forestry related sectors such as the Department of Environment and Natural Resources (DENR), wood processing plants (WFPs), and State Universities and Colleges (SUCs) an easier way of wood identification and proper selection of species.