【實用教育app】KPU Plant Database|最夯免費app-綠色工廠好玩App

Kwantlen Polytechnic University, located in beautiful British Columbia, goes global with this Plant Database App that takes plant and pest identification to a whole new level! There are currently over 1500 plant entries and 20,000 images including close-up details of the leaves, flowers and/ or the fruit. Users of this full version have the option of adding geo-tagged plant location images with searchable descriptions. After identifying a plant with the App’s search features, users can then add their own images of the plant or of pests or diseases they found on the plant direct from their mobile device along with a description. Image descriptions are searchable and might include location codes, signs or symptoms, plant health rating or pest infestation level, pest control measures, the institution or organization acronym, study or class project number, site name, initials, plant location details, etc. Field applications may include mapping plants and pest monitoring in a botanical garden, arboretum, city park, or on a university campus. It may be used to monitor the health of city trees, the occurrence of invasive plants or the spread of emerging pests such as gypsy moth, European chafer, or sudden oak death. Student course work may include plant or pest identification along with posting an image with description for grading by an instructor. The instructor can then quickly send comments or assign marks to the student contributor through the email link.The date taken and the date submitted will appear for each image submitted and the contributor can easily search for and remove their images at any time. The App also allows saving of plant and pest favorites, easy sharing of screen shots, and a shortcut to search the internet for more information on each plant or the pests found on it. It is hoped that users of this App will have fun learning new plants and mapping their locations but also to come to better appreciate the complex relationships between plants, pests, and the environment that have evolved over millions of years and will find the app useful for searching for the least detrimental way to control infestations.