Restauração ecológica inteligente através da análise de dados

Abstract

This work presents an interdisciplinary approach between computing and biology, focused on Ecological Restoration. Based on a database composed of information on plant species, habitats, soil types, cities, and localities, a detailed exploratory analysis was conducted, which allowed extracting, as a result, significant insights and identifying patterns not evident in isolated analyses. One of the main results of this research was the development of an online platform that facilitates the process of ecological restoration. Utilizing modern technologies like React on the front-end and Flask on the back-end, the platform allows users to simulate lists of species to be used in restoration by providing information about soil type, habitat, and geographical location. The simulation algorithm generates a ranked list of suitable species for the ecosystem in question, aiding decision-making for the restoration of specific areas. The results obtained contribute to the field of ecological restoration by providing a practical tool that assists in species selection and promotes interaction with relevant data for the success of restoration projects.