Advancing Wood Identification in the Philippines: Utilizing the Xylorix Platform for Efficient AI Model Development and Deployment for Five Key Species
Researchers have developed an AI model on the Xylorix platform to identify five key hardwood species in the Philippines, aiming to combat illegal logging. The model, trained on over 10,000 images, achieved high accuracy, with four out of five species reaching an 'AA' grade for identification performance. This demonstrates that individuals without programming expertise can create reliable AI tools for macroscopic wood identification, suitable for deployment in supply chain checkpoints. AI
IMPACT Enables non-programmers to build specialized AI tools for critical identification tasks, potentially aiding in conservation efforts.