HalamanPH: Mobile Object Detection of Orchid Plants

Plant detection systems have significantly benefited industries such as agriculture, environmental management, and ecological monitoring. Data augmentation plays a crucial role in developing accurate object detection models, involving techniques like cropping, resizing, flipping, and scaling to enhance the training dataset's robustness. HalamanPH, an Android-based object detection application developed for this study, addresses the need for comprehensive information on Philippine flora, featuring six plant species. Evaluation by two respondents, (1) BS Biology student from UP Baguio, and (1) botanist from Philippine Taxonomic Initiative, confirmed the application's performance. Moving forward, integrating additional functionalities and expanding datasets within the application is recommended to further enhance its overall performance and utility in future projects across various industries.