Automatic Recognition of Plant Types with ML

Advances in machine learning and mobile technology have made it feasible to identify new plant species automatically in recent years. This work focuses on an Android application that use visual analysis and machine learning approaches to reliably identify plant species. The objective is to provide a basic tool that enables real- time plant identification on mobile devices for users such as botanists, horticulturists, and nature enthusiasts. For plant enthusiasts, professionals, and specialists, the suggested Android- based plant species distinguishing proof framework provides a useful and open tool. This approach makes advantage of machine learnings and mobile technology to help with plant identification, conservation, and ecological study. Additional improvements and optimizations can be looked at to increase the application's accuracy, speed, and usability.