Research lines
RSRG/LAMMA develops applied research in Agricultural Engineering, Agronomy, Precision and Digital Agriculture, with emphasis on data-driven innovation and advanced technologies for sustainable agribusiness.
Training of master's, doctoral, and undergraduate students in projects that connect science, technology, and agricultural practice. The research lines are developed in collaboration with national and international institutions, contributing to the advancement of sustainable and digital tropical agriculture. Its main research lines include:
Smart Harvesting
Performance evaluation, loss analysis, and operational efficiency in crops such as peanut, sugarcane, coffee, cotton, and cereals, using advanced technologies to optimize harvesting processes.
Quality Control in Mechanized Operations
Application of statistical methods and digital technologies to ensure efficiency and sustainability in agricultural activities, including studies of variability and quality in mechanized agricultural operations as a strategy to enhance the efficiency of mechanized processes.
Remote Sensing and Artificial Intelligence
Integration of drones, sensors, artificial neural networks, and data analysis to optimize crop management, with applications in semi-perennial crops such as sugarcane, perennial crops like coffee, and annual crops including soybean and corn — with special emphasis on underground crops such as peanut and potato.