The tenth project carried out by the Computer Science students was the development of a project based on a deep learning system applied to computer vision, with the aim of presenting innovative solutions to the project partners through the use of technology.
PROBLEM: Challenge students to create a solution that is more effective than the existing solution.
OBJECTIVE: To generate a computer vision model for agricultural regions in southern Brazil that accurately identifies productive plots, helping to overcome the challenges related to local terrain and production characteristics.
AUDIENCE: Internal technology team
PROBLEM: Analysis of thermographic images of cattle
OBJECTIVE: To train machine learning models to analyze thermographic images of cattle.
AUDIENCE: Technology team
PROBLEM: Identification of weeds in sugar cane cultivation.
OBJECTIVE: To develop a computer vision model to identify weeds in sugarcane crops.
PUBLIC: Innovation team.
