Desenvolvimento de aplicativo móvel de identificação de plantas

Abstract

The central issue addressed in this work was the development of a mobile application for plant identification, with the aim of overcoming barriers to adoption and acceptance among users of automated identification technologies. The focus is on investigating the reasons that may hinder the adoption of mobile applications in the botanical context, analyzing users' preferences, needs, perceptions and experiences in relation to functionalities and usability. To this end, the challenges faced by users when using plant recognition technologies were explored, as well as the functionalities that can improve their adherence and acceptance. The proposed application aims to offer an accessible and practical solution for plant identification and diagnosis, using machine learning techniques, and provides a friendly and informative interface, with the aim of promoting environmental education and facilitating access to biodiversity. The final objective was to develop an efficient, intuitive mobile tool capable of meeting users' needs, encouraging the use of technology to promote environmental education, the preservation of biodiversity and awareness about plants.