Arthur Borges Bringel Machado

Resilient and able to make things happen. Able to do in- and outdoor work. Team's supporter and easy to collaborate with. Appreciate systematic approaches and formal structures.

1. Machado, A. B. B., Dias, H. B., Ferreira, T. B., Pavan, W., & de Borja Reis, A. F. (2026). A large-scale, yield-only approach for DSSAT-CROPGRO cultivar parameter calibration. Computers and Electronics in Agriculture, 241, 111263. https://doi.org/10.1016/j.compag.2025.111263

2. Machado, A. B. B. (n.d.). A study of integrating large-scale variety trial data and phenology-based hybrid modeling for cultivar-level soybean yield prediction (A. F. de Borja Reis, Chair). University of Missouri Libraries. https://doi.org/10.32469/10355/111031

3. Machado, A. B. B., & Borja Reis, A. (2024) Optimizing Genotype Calibration in DSSAT: Leveraging Large-Volume, Low-Quality Variety Testing Data.  ASA, CSSA, SSSA International Annual Meeting, San Antonio, TX. https://scisoc.confex.com/scisoc/2024am/meetingapp.cgi/Paper/159170

4. Barbosa Junior, M. R.; Moreira, B. R. A.; Oliveira, R. P.; Machado, A. B. B.; Souza, F. L. P.; Trentin, C.; Bortolon, G.; Sirucek, F.; Silva, R. P.; Setiyono, T.; Shiratsuchi, L. S. A high-throughput predictive analysis for qualitative yield in sugarcane based on UAV imagery and machine learning. 2023.

5. Trentin, C.; Barbosa Junior, M. R.; Souza, F. L. P.; Machado, A. B. B.; Chevez, D. D.; Sirucek, F.; Bortolon, G.; Adhikari, R.; Setiyono, T.; Langaro, N. C.; Souza, N.; Escosteguy, P. A. V.; Favareto, A.; Ampatzidis, Y.; Shiratsuchi, L. S. Predicting grain protein, size and yield for malting barley using vegetation indices. 2023.

6. Chevez, D. D.; Barbosa Junior, M. R.; Brido Filho, A. L.; Trentin, C.; Souza, F. L. P.; Machado, A. B. B.; Sirucek, F.; Bortolon, G.; Adhikari, R.; Setiyono, T.; Holland, K.; Shiratsuchi, L. S. Fluorescence Sensor Data As An Input To Predict Sugar Content In Sugarcane Field Using A Machine Learning Model. 2023.

5. Souza, F. L. P.; Favan, J. R.; Souza Passos, J. R.; Campos, S.; Dias, M. A.; Barbosa Junior, M. R.; Trentin, C.; Machado, A. B. B.; Chevez, D. D.; Sirucek, F.; Bortolon, G.; Adhikari, R.; Shiratsuchi, L. S.; Setiyono, T. AI-driven soybean plant density measurement using UAS imagery data. 2023

• 1st place in oral presentation at the FL ASABE 2026: Machado, A. B. B., & Pavan, W. (2026, June 10–12). From SSURGO to DSSAT: An automated soil data pipeline [Oral presentation]. Florida Section of the American Society of Agricultural and Biological Engineers (FL ASABE) 2026 Annual Meeting, Fort Myers, FL, United States.
• 1st place in poster presentation at the CANVAS 2025: Machado, A. B. B., Dias, H. B., Berton Ferreira, T., Pavan, W., & Borja Reis, A. (2025) A Large-Scale, Yield-Only Approach for DSSAT-Cropgro Cultivar Parameter Calibration [Abstract]. CANVAS 2025, Salt Lake City, UT. https://scisoc.confex.com/scisoc/2025am/meetingapp.cgi/Paper/169904