VT Tree ID

VT Tree ID offers a powerful digital tool for tree enthusiasts and professionals by integrating extensive dendrology resources into an accessible Android platform. Designed to aid in the identification of over 1,000 woody plants across North America, the app provides users with detailed fact sheets for each species. Leveraging GPS, network signals, or manually entered data, it refines species lists to suit the user's geographical location, from the diverse forests of southwestern Oregon to iconic urban spaces like New York's Central Park. Accessible to both amateurs and experts, VT Tree ID makes tree identification straightforward and localized.

Advanced Search and Identification Features

To facilitate accurate tree identification, VT Tree ID offers an intuitive search process. Users can refine their results by answering simple questions about tree characteristics, such as leaf shape or flower color, or by entering specific keywords like "oak" or "palm". This streamlined approach caters to enthusiasts exploring nearby areas or professionals in need of precise identification tools. An added feature allows users to engage directly with "Dr. Dendro", an expert providing guidance on complex identification challenges, enhancing the app's utility.

Rich Visual Database

VT Tree ID boasts a comprehensive visual library featuring over 6,500 vivid images of plant components, including leaves, flowers, fruit, bark, and twigs. The database's rich photographic content supports effective comparison and contrast among species. Complemented by detailed descriptions and range maps for each species, this resource enhances the educational value for users eager to expand their dendrological knowledge, seamlessly navigating through information with ease.

User-Friendly Installation

For optimal installation of the VT Tree ID app, a robust Wi-Fi connection is recommended due to its substantial 650 MB database. This preparation ensures that users can quickly access detailed knowledge about North American woody plants, making it possible to identify and enjoy tree species both locally and in a broader context.