| UAVs to monitor and manage sugarcane: integrative review MR Barbosa Júnior, BRA Moreira, AL Brito Filho, D Tedesco, ... Agronomy 12 (3), 661, 2022 | 14 | 2022 |
| Integrating satellite and UAV data to predict peanut maturity upon artificial neural networks JBC Souza, SLH de Almeida, M Freire de Oliveira, AF Santos, ALB Filho, ... Agronomy 12 (7), 1512, 2022 | 10 | 2022 |
| Biophysical characteristics of soybean estimated by remote sensing associated with artificial intelligence. F Morlin CARNEIRO, M Freire de OLIVEIRA, SL Hatum de Almeida, ... Bioscience Journal 38, 2022 | 4 | 2022 |
| Soil and satellite remote sensing variables importance using machine learning to predict cotton yield FM Carneiro, AL de Brito Filho, FM Ferreira, GFS Junior, ZN Brandao, ... Smart Agricultural Technology 5, 100292, 2023 | 2 | 2023 |
| High-throughput carbon-capturing frameworks by pelleting hydrochar of food waste and its residual ash as a dopant BR de Almeida Moreira, AL de Brito Filho, MR Barbosa Júnior, ... BioEnergy Research 16 (1), 435-447, 2023 | 2 | 2023 |
| Estimated losses in soybean ('Glycine max'(L.) Merril) harvest according to the speed and rotation of the trail system JBC Souza, M Lages Vieira Passos, EA da Silva, ALB Filho, ... Australian Journal of Crop Science 15 (4), 559-563, 2021 | 2 | 2021 |
| Production of high-quality biogenic fuels by co-pelletization of sugarcane bagasse with pinewood sawdust and peanut shell BR de Almeida Moreira, MR Barbosa Júnior, AL de Brito Filho, ... Biomass Conversion and Biorefinery 14 (5), 6797-6820, 2024 | 1 | 2024 |
| Unmanned aerial system and satellite: Which one is a better platform for monitoring of the peanut crops? JB Costa Souza, S Luns Hatum de Almeida, A Lopes de Brito Filho, ... Agronomy Journal 115 (3), 1146-1160, 2023 | 1 | 2023 |
| A High-Throughput Imagery Protocol to Predict Functionality upon Fractality of Carbon-Capturing Biointerfaces BRA Moreira, AL Brito Filho, MR Barbosa Júnior, RP Silva Agronomy 12 (2), 446, 2022 | 1 | 2022 |
| Avaliação da qualidade dos índices de vegetação (NDRE e NDVI) para a cultura do amendoim, utilizando cartas de controle JBC Souza, AL de Brito Filho, FM Carneiro, AF do Santos, RP Da Silva South American Sciences 1 (1), e2095-e2095, 2020 | 1 | 2020 |
| Qualidade da aquisição do NDVI na cultura do amendoim utilizando sensores terrestres JBC Souza, AL de Brito Filho, FM Carneiro, AF do Santos, RP da Silva South American Sciences ISSN 2675-7222 1 (1), e2083-e2083, 2020 | 1 | 2020 |
| Precision agriculture in the United States: A comprehensive meta-review inspiring further research, innovation, and adoption MRB Júnior, BR de Almeida Moreira, V dos Santos Carreira, ... Computers and Electronics in Agriculture 221, 108993, 2024 | | 2024 |
| Advancements in peanut mechanization: Implications for sustainable agriculture BR de Almeida Moreira, TM Marra, EA da Silva, AL de Brito Filho, ... Agricultural Systems 215, 103868, 2024 | | 2024 |
| Peanut Loss Predictions Using Random Forest and Soil Data AL de Brito Filho, FM Carneiro, GP Costa, LM Agostini, JBC Souza, ... Anais do XIV Congresso Brasileiro de Agroinformática, 72-79, 2023 | | 2023 |
| Estimating peanut invisible losses using machine learning and remote sensing AL de Brito Filho, FM Carneiro, SLH de Almeida, FM Ferreira, ... Anais do XIV Congresso Brasileiro de Agroinformática, 56-63, 2023 | | 2023 |
| Does the Soil Tillage Affect the Quality of the Peanut Picker? A Lopes de Brito Filho, F Morlin Carneiro, JB Costa Souza, ... Agronomy 13 (4), 1024, 2023 | | 2023 |
| RELATIONSHIP BETWEEN ACTIVE AND PASSIVE SENSORS FOR MONITORING RICE BIOPHYSICS CHARACTERISTICS AL de Brito Filho, FM Carneiro, F Rontani, RP da Silva, CA da Silva Junior, ... INPE, 2023 | | 2023 |
| NITROGEN RECOMMENDATION BASED ON MACHINE LEARNING APPROACH AND ACTIVE REMOTE SENSING FM Carneiro, AL de Brito Filho, M de Santana Martins, ZN Brandão, ... INPE, 2023 | | 2023 |
| Loss sampling methods for soybean mechanical harvest CSS Paixão, MA Voltarelli, JBC Souza, AL de Brito Filho, RP Da Silva Bioscience Journal 38 (e38050), 1981-3163, 2022 | | 2022 |
| High-throughput carbon-capturing frameworks by pelleting hydrochar of food waste and its residual ash as a dopant. BRDA Moreira, AL De Brito Filho, MR Barbosa Júnior, RP Da Silva | | 2022 |
