Case Study: Plant Recognition Mobile App achieves 92% plant identification accuracy with Flatworld Solutions

Flatworld created a plant recognition mobile app for a us-based entrepreneur

Flatworld Solutions worked with Plant Recognition Mobile App, a U.S.-based entrepreneur and technology enthusiast, to solve the challenge of identifying plants quickly and accurately from user-uploaded photos of flowers, leaves, or fruit. The client needed a user-friendly mobile app that could replace slow crowdsourcing-based identification with instant image recognition.

Flatworld Solutions built a plant recognition mobile app backed by a large plant image database and learning algorithms, using SQLite, MySQL, PHP, Smarty 2.0, and the Facebook SDK. The app can identify plants even from low-resolution or dark images, offers fallback suggestions when uncertain, and delivered over 92% accuracy in recognizing plants from around the world.