National Repository of Grey Literature 3 records found  Search took 0.00 seconds. 
Application for Plant Disease Detection
Kozub, Tadeáš ; Vaško, Marek (referee) ; Bažout, David (advisor)
This thesis deals with the design and creation of a mobile application that serves to help with plant disease identification. It presents the process of designing the app and its UI, user testing, creation of REST API and also the training of models using machine learning methods. The result is a React Native application, trained model for image-based recognition of tomato diseases and a set up remote server with backend implementation. The achieved accuracy of tomato disease model is 98.76%.

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