Tejon Conservancy Oak Identification App

Overview

Objectives/Goals We are making an app testing the accuracy and possibility of constructing it in a manner that allows newcomers to learn by going through and interacting with the tree as well as a series of options in the app to ultimately come to a conclusion as to what species they are looking at. Methods/Materials We took pictures which we then printed and made a physical version of the app, after that we made google forms that replicated the app. We took this info further improving on it to build it in MIT App Inventor 2. After this, we rewrote the flowchart for the app refining it and now are working towards publication. Results The app is actually very effective. We had an 88.8% level of accuracy amongst those that we tested on our forms. We believe that number is actually going to be higher since we have multiple versions of the app that are all improving from the previous mistakes. Conclusions/Discussion These results show that there are alternate routes that are available to educate people about the environment that they are surrounded by. A significant point behind this is that these people can do it on their own, self sufficiently discovering. In this sense, there is still a process of learning which keeps a sense of discovery and accomplishment. Though it is more appealing to the younger ones in this generation, the app is still available for all who want to explore.

Competition history

• CSEF 2016 Mathematics & Computer Science · Entry S1401

Resources

• CSEF project summary ↗

Related projects

Closest projects by meaning, across every fair and year in the corpus.

Browse more like this

• All Computational Sciences projects
• CSEF Computational Sciences projects
• Every CSEF 2016 project