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 Salles - Master Student  |  ORCID  |  Linkedin  |  Curriculum

CAPES Fellow

"Peanut connecting science, territory, and geopolitics between Brazil and the U.S."

Project: Peanut Powers: Transamerican Scientific Innovations in Brazil and the U.S.

Objetive: To investigate scientific exchanges between Brazil and the U.S. in the peanut agro-industrial sector, analyze how geopolitical relations shape international agricultural science, and document local and global practices of specialists through ethnographic research.


Luis Alberto  - Master Student  | ORCID  |  Linkedin Curriculum

CAPES Fellow

"In smart agriculture, technology outperforms talent when talent fails to keep up."

Project: Delimitation of Management Zones Using Remote Sensing and Artificial Intelligence for Smart Mechanized Peanut Harvesting

Objective: To estimate the peanut maturation index using remote sensing data and, based on this estimation, define management zones considering the spatial variability of maturation. Artificial intelligence models will be applied to generate more accurate predictions, aiming to optimize smart mechanized harvesting and promote greater efficiency and sustainability in agricultural production.