Master's students

Pedro Henrique Nogueira Gusmão - MSc Student | ORCID | Linkedin  | Curriculum

"Smart farming for a sustainable and loss-free peanut harvest."

CAPES Fellow

Project: Georeferenced reconstruction of peanut windrows using LiDAR and drone imagery for harvest optimization

Objective: To develop a georeferenced reconstruction system for peanut windrows using mobile laser scanning, static LiDAR, and drone imagery, aiming to generate high-resolution 3D products (DEM, DSM, and orthomosaics) that support machine adjustments, improve operational performance, and reduce losses and environmental impacts.

Erika Sales - Master Student  |  ORCID  |  Linkedin  |  Curriculum

CAPES Fellow

"Precise seeding, efficient harvest."

Project: Impact of seeding densities on uniformity and agronomic parameters in peanut cultivation

Objetive: To evaluate the effect of different plant populations on the uniformity and agronomic performance of peanut crops, aiming to identify the optimal seeding density to maximize productivity and operational efficiency in the field.

Luis Alberto  - Master Student  | ORCID  |  Linkedin |  Curriculum

CAPES Fellow

"Technology and data science to transform agricultural productivity."

Project: Predicting sugarcane productivity using high-resolution data and soil mineralogy

Objective: To enhance machine learning models for field-level sugarcane productivity prediction by integrating high-resolution data—such as satellite imagery, derived productivity indicators, plant height measurements, and soil mineralogical characteristics.