Abstract
The aim of the project is to develop a botanical identification system, based on computer visualization and machine learning, focusing on the environmental licensing market, academic research and biotechnology area. The development of a methodology that allows standardizing data collection in the field and at the same time quickly and accurately identify the raised plant species, will pro…
