About us

About RSRG

A group of professionals from the São Paulo State University who work in the field of Agricultural Engineering, focusing on Agriculture 4.0, aiming at the quality management of mechanized agricultural processes.

Agricultural Engineer from the Federal University of Lavras, Master in Mechanical Engineering (Federal University of Uberlândia), PhD in Agronomy (Plant Production) from UNESP and Associate Professor in Agricultural Machinery and Mechanization (UNESP). He is currently Associate Professor III of UNESP / Jaboticabal, Coordinator of the Graduate Program in Agronomy (Plant Production) and Research Productivity Scholarship (1-C) of CNPq. He also holds the position of Executive Director of the Latin American and Caribbean Association of Agricultural Engineering and Director of International Relations of the Brazilian Association of Agricultural Engineers. He is a member of the Brazilian Precision Agriculture Commission and the Tractor and Machine Awards of the Year Evaluation Committees. He has published over 170 articles in scientific journals, 7 books and 20 book chapters. He works in the area of ​​Agricultural Engineering and Digital Agriculture, developing research focusing on the following topics: Mechanized Harvesting Systems (coffee, sugar cane, peanuts and cereals), Precision Agriculture and Quality Control. in Mechanized Agricultural Operations.

Contact:  rouverson.silva@unesp.br


PhD Students

Master Students

Antonio Maurício Loureiro Jr.

Agronomist by São Paulo State University (UNESP), Jaboticabal Campus, studying for a Master's degree in Agronomy (Plant Production) by the same institution. Currently he works for John Deere Co. as an Instructional Product Specialist. He has experience with product engineer, agricultural machine testing, prototype validation, Precision Agriculture and mechanized harvesting systems. He works in research projects in mechanized sugarcane harvesting, technology development, quality and operational optimization.

Armando Brito Lopes Filho

Agricultural Engineer by UFMA, Chapadinha Campus. He develops research with emphasis on Precision Agriculture, Agricultural Mechanization and Remote Sensing in peanut crop. Currently he's working with mechanized peanuts harvesting, seeking to study the effect of harvesting methods and systems on the quality of harvested peanuts.

Jarlyson Brunno Costa Souza

Agricultural Engineer by UFMA, Chapadinha Campus. He develops research in the area of agricultural mechanization, focused on Precision Agriculture and Remote Sensing in peanut crop. He's currently working on developing a new methodology for predicting peanut maturity using remote sensing.

Letícia Bernabé Santos

Agronomist Engineer graduated from UNESP, Jaboticabal Campus,  Master's student in Agronomy (Plant Production) working, in partnership with Dr. Ignacio Ciampitti, from Auburn University (US). in research projects in Digital Agriculture and identification of plants under nematode attack in soybean plants using remote sensing.

Rafael Feih

Electrical Engineer by Federal University of Santa Maria/RS, Master in Business Administration by FGV/Rio de Janeiro. He is currently a master student in Agronomy (Crop Production) on precision agriculture solutions for sugarcane harvesting based on telemetry systems. Rafael has a comprehensive background on validation processes for Ag machines such as tractors, self-propelled harvesters and sprayers. His main expertises are Prototype build, Lab & Field testing, Data acquisition systems and people management.

Undergraduate students

João Pedro de Oliveira Branco

Scholarship student of Technological Innovation, develops a work to apply techniques of Precision Agriculture and Artificial Intelligence for quality management innovation of mechanized harvesting operations in cotton crop, through the development

mobile applications, so that it facilitates data acquisition during operation, as well as decision making for better operation efficiency.

Felix de Souza Neto

Scholarship student of Scientific Initiation, is developing a methodology to identify and eliminate special causes in performance control charts of a sugarcane harvester, obtained from variables from a telemetry system. The variables to be studied will be determined using the Failure Mode and Effects Analysis (FMEA) methodology.