| Carrot yield mapping: A precision agriculture approach based on machine learning MCF Wei, LF Maldaner, PMN Ottoni, JP Molin Ai 1 (2), 229-241, 2020 | 78 | 2020 |
| 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 | 65 | 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 | 50 | 2021 |
| Data processing within rows for sugarcane yield mapping LF Maldaner, JP Molin Scientia Agricola 77, e20180391, 2019 | 37 | 2019 |
| Simplifying sample preparation for soil fertility analysis by X-ray fluorescence spectrometry TR Tavares, LC Nunes, EEN Alves, E Almeida, LF Maldaner, FJ Krug, ... Sensors 19 (23), 5066, 2019 | 33 | 2019 |
| 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 | 22 | 2021 |
| Precision agriculture and the digital contributions for site-specific management of the fields JP Molin, HC Bazame, L Maldaner, LP Corredo, M Martello, M Martello Revista Ciência Agronômica 51 (spe), e20207720, 2020 | 22 | 2020 |
| 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 | 17 | 2021 |
| Methodology to filter out outliers in high spatial density data to improve maps reliability LF Maldaner, JP Molin, M Spekken Scientia Agricola 79 (1), e20200178, 2021 | 16 | 2021 |
| Sensor fusion with NARX neural network to predict the mass flow in a sugarcane harvester JJA Lima, LF Maldaner, JP Molin Sensors 21 (13), 4530, 2021 | 15 | 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 | 14 | 2020 |
| Identification and measurement of gaps within sugarcane rows for site-specific management: Comparing different sensor-based approaches LF Maldaner, JP Molin, M Martello, TR Tavares, FLF Dias Biosystems Engineering 209, 64-73, 2021 | 13 | 2021 |
| 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 |
| Evaluation of minimum preparation sampling strategies for sugarcane quality prediction by vis-nir spectroscopy LP Corrêdo, LF Maldaner, HC Bazame, JP Molin Sensors 21 (6), 2195, 2021 | 11 | 2021 |
| Identifying and filtering out outliers in spatial datasets LF Maldaner, LP Corrêdo, TR Tavares, LG Mendez, C Duarte, JP Molin Proceedings of the 14th International Conference on Precision Agriculture …, 2018 | 9 | 2018 |
| Use of Active Sensors in Coffee Cultivation for Monitoring Crop Yield M Martello, JP Molin, HC Bazame, TR Tavares, LF Maldaner Agronomy 12 (9), 2118, 2022 | 8 | 2022 |
| 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 |
| Mapas de produtividade LF Maldaner, MCF Wei, JP Molin Boletim Técnico 4, 2019 | 6 | 2019 |
| 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 |
| Spatial–Temporal Analysis to Investigate the Influence of in-Row Plant Spacing on the Sugarcane Yield LF Maldaner, JP Molin, ER Otavio da Silva Sugar Tech 26 (1), 194-206, 2024 | 2 | 2024 |
Jose Paulo MolinProfessor, Universidade de São Paulo在 usp.br 的电子邮件经过验证
