Welcome to the CheckMyPlant app, an app designed to detect disease and health of plants. Take a picture of the plant, upload it on a phone or computer, and the app does the rest of the work. The app has many uses, including producers who want to quickly check plants, anyone working in plant food supply chains, and the consumer at the grocery store or at home. The plant detection market and plant disease detection market are very similar and have overlap, with several apps in the market who charge the consumer for usage. The market leading plant apps are designed to be free for consumer use but charge for business and high-volume access.
CheckMyPlant was designed for expansion with more plant images and expansion of computing resources, the app can achieve even more. With the advent of cloud computing, and the multi-disciplinary field of Data Science, the app makes excellent use of computer vision (how computers understand what is in a picture), neural networks (computer thinking using mathematical models), and cloud computing (for service delivery) to provide speedy and excellent service. During development, the team used an iterative approach to building CheckMyPlant, completing a feature and leaving room for further development in the future, creating a truly modern and forward-facing app.
App created by: Gordon Stevens, Asmae Allou, Kareem Zahra, Ali Potter, Olivia Makileni, Dave Huang, Farhad Fathimoghadam, and Abi Manoharan
Instructor: Jin Li
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