| Sugarcane yield mapping using high-resolution imagery data and machine learning technique TF Canata, MCF Wei, LF Maldaner, JP Molin Remote Sensing 13 (2), 232, 2021 | 69 | 2021 |
| Predicting the sugarcane yield in real-time by harvester engine parameters and machine learning approaches LF Maldaner, L de Paula Corrêdo, TF Canata, JP Molin Computers and Electronics in Agriculture 181, 105945, 2021 | 55 | 2021 |
| Development and evaluation of a fuzzy logic classifier for assessing beef cattle thermal stress using weather and physiological variables RV de Sousa, TF Canata, PR Leme, LS Martello Computers and Electronics in Agriculture 127, 176-183, 2016 | 34 | 2016 |
| Udder thermography of gyr cows for subclinical mastitis detection MAF Porcionato, TF Canata, CEL Oliveira, MV Santos Revista Brasileira de Engenharia de Biossistemas 3 (3), 251-257, 2009 | 31 | 2009 |
| Sugarcane harvester for in-field data collection: State of the art, its applicability and future perspectives LP Corredo, TF Canata, LF Maldaner, JJA de Lima, JP Molin Sugar Tech 23 (1), 1-14, 2021 | 23 | 2021 |
| A system for plant detection using sensor fusion approach based on machine learning model LF Maldaner, JP Molin, TF Canata, M Martello Computers and Electronics in Agriculture 189, 106382, 2021 | 19 | 2021 |
| A statistical approach to static and dynamic tests for Global Navigation Satellite Systems receivers used in agricultural operations LF Maldaner, TF Canata, CTS Dias, JP Molin Scientia Agricola 78, e20190252, 2020 | 13 | 2020 |
| An approach to sugarcane yield estimation using sensors in the harvester and zigbee technology LF Maldaner, TF Canata, JP Molin Sugar Tech 24 (3), 813-821, 2022 | 11 | 2022 |
| A measurement system based on lidar technology to characterize the canopy of sugarcane plants TF Canata, JP Molin, RV Sousa Engenharia Agrícola 39, 240-247, 2019 | 11 | 2019 |
| Measuring height of sugarcane plants through LiDAR technology TF Canata, JP Molin, AF Colaço, RG Trevisan, M Martello, PR Fiorio Proceedings of the 13th International Conference on Precision Agriculture …, 2016 | 7 | 2016 |
| 3d data processing to characterize the spatial variability of sugarcane fields TF Canata, M Martello, LF Maldaner, J de Souza Moreira, JP Molin Sugar Tech 24 (2), 419-429, 2022 | 6 | 2022 |
| Processing yield data from two or more combines LF Maldaner, JP Molin, TF Canata Proceedings of the 13th international conference on precision agriculture, 2016 | 6 | 2016 |
| AI-Driven Prediction of Sugarcane Quality Attributes Using Satellite Imagery TF Canata, MRB Júnior, RP de Oliveira, CEA Furlani, RP da Silva Sugar Tech 26 (3), 741-751, 2024 | 3 | 2024 |
| Integration of ultrasonic and optical sensing systems to assess sugarcane biomass and N-uptake G Portz, JP Molin, TF Canata, VI Adamchuk Precision Agriculture 25 (1), 83-99, 2024 | 3 | 2024 |
| AI-Based Prediction of Carrot Yield and Quality on Tropical Agriculture YK de Lima Silva, CEA Furlani, TF Canata AgriEngineering 6 (1), 361-374, 2024 | 2 | 2024 |
| High-resolution imagery data to assess the spatial variability of sugarcane fields JP Pissolito, VHS Bersani, TF Canata, LF Maldaner, JP Molin Brazilian Journal of Development 6 (12), 100266-100280, 2020 | 2 | 2020 |
| Static and kinematic tests for determining spreaders effective width LF Maldaner, JP Molin, TF Canata, BP Passalaqua, JJ Quirós 13th International Conference on Precision Agriculture, July, 2016 | 2 | 2016 |
| Termografia do Úbere de vacas gir para DETECÇÃO demastite SubclÍnica MAF PORCIONATO, TF CANATA, CEL DE OLIVEIRA, MV DOS SANTOS Revista Brasileira de Engenharia de Biossistemas 3 (3), 251-257, 2009 | 2 | 2009 |
| No-Tillering System: Is It Worth Conducting Soil Scarification as an Option for “Field Reform”? E de Carvalho Machione, RF de Queiroz, A Lopes, CEA Furlani, ... Agriculture 14 (8), 1434, 2024 | | 2024 |
| High-resolution data for mapping the spatio-temporal variability of sugarcane fields TF Canata Universidade de São Paulo, 2021 | | 2021 |
