A statistical approach to static and dynamic tests for Global Navigation Satellite Systems receivers used in agricultural operations.
MALDANER, L. F.; CANATA, T.; DIAS, C. T. S.; MOLIN, J. P. Scientia Agricola. v.78, p.1 - 9, 2021.
A system for plant detection using sensor fusion approach based on machine learning model.
MALDANER, L. F., MOLIN, J. P., CANATA, T. F.; MARTELLO, M. Computers and Eletronics in Agriculture. v.189, p.106382 - 106393, 2021.
An Approach to Sugarcane Yield Estimation Using Sensors in the Harvester and ZigBee Technology.
MALDANER, L. F.; CANATA, T. F.; MOLIN, J. P. Sugar Tech. , v.23, p.1 - 9, 2021.
Definition of Optimal Maize Seeding Rates Based on the Potential Yield of Management Zones..
ANSELMI, ADRIANO ADELCINO; MOLIN, J. P.; BAZAME, HELIZANI COUTO; CORRÊDO, LUCAS DE PAULA. Agriculture. v.11, p.911 - 927, 2021.
Energy Efficiency of Variable Rate Fertilizer Application in Coffee Production in Brazil.
ANGNES, G.; MARTELLO, M.; FAULIN, G. C., MOLIN, J. P., ROMANELLI, T. L. AgriEngineering. , v.3, p.815 - 826, 2021.
Identification and measurement of gaps within sugarcane rows for site-specific management: Comparing different sensor-based approaches.
MALDANER, L. F.; MOLIN, J. P., MARTELLO, M.; TAVARES, T. R.; DIAS, F. L. F. Biosystems Engineering. v.209, p.64 - 73, 2021.
Measuring apparent electrical conductivity in undisturbed soil samples.
GIMENEZ, L.; MOLIN, J. P. Brazilian Journal of Development. , v.7, p.73620 - 73632, 2021.
3D Data Processing to Characterize the Spatial Variability of Sugarcane Fields
CANATA, T. F., MARTELLO, M., MALDANER, L. F., MOREIRA, J. S., & MOLIN, J. P. 3D Data Processing to Characterize the Spatial Variability of Sugarcane Fields. Sugar Tech, 1-11. 2021.
Near-infrared spectroscopy as a tool for monitoring the spatial variability of sugarcane quality in the fields
CORREDO, L. P., WEI, M. C., FERRAZ, M. N., & MOLIN, J. P. Near-infrared spectroscopy as a tool for monitoring the spatial variability of sugarcane quality in the fields. Biosystems Engineering, 206, 150-161. 2021.
Multi-Sensor Approach for Tropical Soil Fertility Analysis: Comparison of Individual and Combined Performance of
VNIR, XRF, and LIBS Spectroscopies
TAVARES, T. R., MOLIN, J. P., NUNES, L. C., WEI, M. C. F., KRUG, F. J., de CARVALHO, H. W. P., & MOUAZEN, A. M. Multi-Sensor Approach for Tropical Soil Fertility Analysis: Comparison of Individual and Combined Performance of VNIR, XRF, and LIBS Spectroscopies. Agronomy, 11(6), 1028. 2021.
Evaluation of Minimum Preparation Sampling Strategies for Sugarcane Quality Prediction by vis-NIR Spectroscopy
CORREDO, L. P.; MALDANER, L.; BAZAME, H. C., MOLIN, J. P. Evaluation of Minimum Preparation Sampling Strategies for Sugarcane Quality Prediction by vis-NIR Spectroscopy. Sensors, 21(6), 2195. 2021.
Detection, classification, and mapping of coffee fruits during harvest with computer vision
BAZAME, H. C., MOLIN, J. P., ALTHOFF, D., & MARTELLO, M. Detection, classification, and mapping of coffee fruits during harvest with computer vision. Computers and Electronics in Agriculture, 183, 106066. 2021.
Combined Use of Vis-NIR and XRF Sensors for Tropical Soil Fertility Analysis: Assessing Different Data Fusion Approaches
TAVARES, T. R., MOLIN, J. P., JAVADI, S. H., CARVALHO, H. W. P. D., & MOUAZEN, A. M. Combined Use of Vis-NIR and XRF Sensors for Tropical Soil Fertility Analysis: Assessing Different Data Fusion Approaches. Sensors, 21(1), 148. 2021.
Methodology to filter out outliers in high spatial density data to improve maps reliability
MALDANER, L. F.; MOLIN, J. P.; SPEKKEN, M. Methodology to filter out outliers in high spatial density data to improve maps reliability. Scientia Agricola, 79(1), e20200178. Epub January 18, 2021.
Predicting the sugarcane yield in real-time by harvester engine parameters and machine learning approaches
MALDANER, L. F.; CORRÊDO, L. P.; CANATA, T. F.; MOLIN, J. P. Predicting the sugarcane yield in real-time by harvester engine parameters and machine learning approaches. Computers and Electronics in Agriculture, 181, 105945, 2021.
Sugarcane Yield Mapping Using High-Resolution Imagery Data and Machine Learning Technique
CANATA, T. F.; WEI, M. C. F.; MALDANER, L. F.; MOLIN, J. P. Sugarcane Yield Mapping Using High-Resolution Imagery Data and Machine Learning Technique. Remote Sensing, v. 13, n. 2, p. 232, 12 jan. 2021.
Spatial distribution of sorption and desorption process of 14C-radiolabelled hexazinone and tebuthiuron in tropical soil
MENDES, K. F.; WEI, M. C. F.; FURTADO, I. F.; TAKESHITA, V.; PISSOLITO, J. P.; MOLIN, J. P.; TORNISIELO, V. L.. Spatial distribution of sorption and desorption process of 14C-radiolabelled hexazinone and tebuthiuron in tropical soil. Chemosphere, [S.L.], v. 264, p. 128494, fev. 2021