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Investigating the Characteristics and Predictability of Measured Wind Speed Data Over Rio de Janeiro, Brazil.
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- Pure & Applied Geophysics, 2021, v. 178, n. 6, p. 2333, doi. 10.1007/s00024-021-02751-w
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- Article
Flavonoids and their relationship with the physiological quality of seeds from different soybean genotypes.
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- Scientific Reports, 2024, v. 14, n. 1, p. 1, doi. 10.1038/s41598-024-68117-z
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- Article
Genetic diversity and interaction between the maintainers of commercial soybean cultivars using self‐organizing maps.
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- Crop Science, 2022, v. 62, n. 6, p. 2233, doi. 10.1002/csc2.20816
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- Article
Soybean base saturation stress: Selecting populations for multiple traits using multivariate statistics.
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- Journal of Agronomy & Crop Science, 2022, v. 208, n. 2, p. 168, doi. 10.1111/jac.12564
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- Article
High‐throughput phenotyping of soybean genotypes under base saturation stress conditions.
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- Journal of Agronomy & Crop Science, 2021, v. 207, n. 5, p. 814, doi. 10.1111/jac.12513
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- Article
Physiological response and earliness of soybean genotypes to soil base saturation conditions.
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- Journal of Agronomy & Crop Science, 2021, v. 207, n. 1, p. 163, doi. 10.1111/jac.12439
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- Article
Effect of land uses and land cover on soil attributes in the southern Brazilian Amazon.
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- Environmental Monitoring & Assessment, 2022, v. 194, n. 10, p. 1, doi. 10.1007/s10661-022-10342-y
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- Article
Twenty-year impact of fire foci and its relationship with climate variables in Brazilian regions.
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- Environmental Monitoring & Assessment, 2022, v. 194, n. 2, p. 1, doi. 10.1007/s10661-021-09702-x
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- Article
Application of remote sensing in environmental impact assessment: a case study of dam rupture in Brumadinho, Minas Gerais, Brazil.
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- Environmental Monitoring & Assessment, 2021, v. 193, n. 9, p. 1, doi. 10.1007/s10661-021-09417-z
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- Article
Rainfall in Brazilian Northeast via in situ data and CHELSA product: mapping, trends, and socio-environmental implications.
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- Environmental Monitoring & Assessment, 2021, v. 193, n. 5, p. 1, doi. 10.1007/s10661-021-09043-9
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- Article
Evaluation of the MOD11A2 product for canopy temperature monitoring in the Brazilian Atlantic Forest.
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- Environmental Monitoring & Assessment, 2021, v. 193, n. 1, p. 1, doi. 10.1007/s10661-020-08788-z
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- Article
Fire foci dynamics and their relationship with socioenvironmental factors and meteorological systems in the state of Alagoas, Northeast Brazil.
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- Environmental Monitoring & Assessment, 2020, v. 192, n. 10, p. 1, doi. 10.1007/s10661-020-08588-5
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- Article
Assessment of evapotranspiration estimates based on surface and satellite data and its relationship with El Niño–Southern Oscillation in the Rio de Janeiro State.
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- Environmental Monitoring & Assessment, 2020, v. 192, n. 7, p. 1, doi. 10.1007/s10661-020-08421-z
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- Article
Spectral trend of vegetation with rainfall in events of El Niño-Southern Oscillation for Atlantic Forest biome, Brazil.
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- Environmental Monitoring & Assessment, 2018, v. 190, n. 11, p. 1, doi. 10.1007/s10661-018-7060-1
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- Article
Wind Characteristics and Temporal Trends in Eastern Paraná State, Brazil.
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- Climate (2225-1154), 2023, v. 11, n. 3, p. 69, doi. 10.3390/cli11030069
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The assessment of climatic, environmental, and socioeconomic aspects of the Brazilian Cerrado.
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- Ecological Processes, 2023, v. 12, n. 1, p. 1, doi. 10.1186/s13717-023-00433-0
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- Article
Rainfall and Extreme Drought Detection: An Analysis for a Potential Agricultural Region in the Southern Brazilian Amazon.
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- Sustainability (2071-1050), 2024, v. 16, n. 14, p. 5959, doi. 10.3390/su16145959
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- Article
Machine Learning Methods for Woody Volume Prediction in Eucalyptus.
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- Sustainability (2071-1050), 2023, v. 15, n. 14, p. 10968, doi. 10.3390/su151410968
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- Article
Wildfire Incidence throughout the Brazilian Pantanal Is Driven by Local Climate Rather Than Bovine Stocking Density.
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- Sustainability (2071-1050), 2022, v. 14, n. 16, p. 10187, doi. 10.3390/su141610187
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- Article
(In)conveniências identitárias a serviço da visibilidade midiática no carimbó e no brega produzido no Pará.
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- Revista Fronteiras, 2015, v. 17, n. 1, p. 45, doi. 10.4013/fem.2015.171.05
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- Article
Application of fuzzy logic for adaptability and stability studies in flood‐irrigated rice (Oryza sativa).
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- Plant Breeding, 2021, v. 140, n. 6, p. 1002, doi. 10.1111/pbr.12973
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- Article
Quarter century genetic progress in irrigated rice (Oryza sativa) in Southeast Brazil.
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- Plant Breeding, 2021, v. 140, n. 6, p. 990, doi. 10.1111/pbr.12972
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- Article
Multi-trait and multi-environment Bayesian analysis to predict the G x E interaction in flood-irrigated rice.
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- PLoS ONE, 2022, v. 17, n. 5, p. 1, doi. 10.1371/journal.pone.0259607
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Prediction of the importance of auxiliary traits using computational intelligence and machine learning: A simulation study.
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- PLoS ONE, 2021, v. 16, n. 11, p. 1, doi. 10.1371/journal.pone.0257213
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- Article
Genotype x trait biplot and canonical correlations for spectral and agronomic traits in corn.
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- Agronomy Journal, 2021, v. 113, n. 2, p. 1197, doi. 10.1002/agj2.20581
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- Article
Vegetation Indices for Discrimination of Soybean Areas: A New Approach.
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- Agronomy Journal, 2017, v. 109, n. 4, p. 1331, doi. 10.2134/agronj2017.01.0003
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- Article
Machine Learning in the Hyperspectral Classification of Glycaspis brimblecombei (Hemiptera Psyllidae) Attack Severity in Eucalyptus.
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- Remote Sensing, 2023, v. 15, n. 24, p. 5657, doi. 10.3390/rs15245657
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- Article
Changes in Carbon Dioxide Balance Associated with Land Use and Land Cover in Brazilian Legal Amazon Based on Remotely Sensed Imagery.
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- Remote Sensing, 2023, v. 15, n. 11, p. 2780, doi. 10.3390/rs15112780
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- Article
Machine Learning in the Classification of Soybean Genotypes for Primary Macronutrients' Content Using UAV–Multispectral Sensor.
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- Remote Sensing, 2023, v. 15, n. 5, p. 1457, doi. 10.3390/rs15051457
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- Article
Maize Yield Prediction with Machine Learning, Spectral Variables and Irrigation Management.
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- Remote Sensing, 2023, v. 15, n. 1, p. 79, doi. 10.3390/rs15010079
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- Article
Using Remote Sensing to Quantify the Joint Effects of Climate and Land Use/Land Cover Changes on the Caatinga Biome of Northeast Brazilian.
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- Remote Sensing, 2022, v. 14, n. 8, p. N.PAG, doi. 10.3390/rs14081911
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- Article
Fires Drive Long-Term Environmental Degradation in the Amazon Basin.
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- Remote Sensing, 2022, v. 14, n. 2, p. 338, doi. 10.3390/rs14020338
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- Article
Predicting Days to Maturity, Plant Height, and Grain Yield in Soybean: A Machine and Deep Learning Approach Using Multispectral Data.
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- Remote Sensing, 2021, v. 13, n. 22, p. 4632, doi. 10.3390/rs13224632
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- Article
Leaf Nitrogen Concentration and Plant Height Prediction for Maize Using UAV-Based Multispectral Imagery and Machine Learning Techniques.
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- Remote Sensing, 2020, v. 12, n. 19, p. 3237, doi. 10.3390/rs12193237
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A New Approach to Identifying Sorghum Hybrids Using UAV Imagery Using Multispectral Signature and Machine Learning.
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- Algorithms, 2024, v. 17, n. 1, p. 23, doi. 10.3390/a17010023
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- Article
Adding random points to sampling grids to improve the quality of soil fertility maps.
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- Precision Agriculture, 2023, v. 24, n. 5, p. 2081, doi. 10.1007/s11119-023-10031-x
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- Article
Machine learning for classification of soybean populations for industrial technological variables based on agronomic traits.
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- Euphytica, 2024, v. 220, n. 3, p. 1, doi. 10.1007/s10681-024-03301-w
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- Article
Multiple-trait model through Bayesian inference applied to flood-irrigated rice (Oryza sativa L).
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- Euphytica, 2022, v. 218, n. 9, p. 1, doi. 10.1007/s10681-022-03077-x
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- Article
Structural equation modelling and factor analysis of the relationship between agronomic traits and vegetation indices in corn.
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- Euphytica, 2022, v. 218, n. 4, p. 1, doi. 10.1007/s10681-022-02997-y
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- Article
RELATIONSHIP BETWEEN VEGETATION INDICES AND AGRONOMIC PERFORMANCE OF MAIZE VARIETIES UNDER DIFFERENT NITROGEN RATES.
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- Bioscience Journal, 2020, v. 36, n. 5, p. 1638, doi. 10.14393/BJ-v36n5a2020-47993
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- Article
PHENOTYPIC ADAPTABILITY OF COTTON GENOTYPES TO THE BRAZILIAN CERRADO FOR YIELD AND FIBER QUALITY.
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- Bioscience Journal, 2020, v. 36, n. 4, p. 1223, doi. 10.14393/BJ-v36n4a2020-48148
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- Article
Selectivity of herbicides in initial growth of pre-budded seedlings of sugarcanes.
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- Comunicata Scientiae, 2018, v. 9, n. 3, p. 393, doi. 10.14295/CS.v9i3.1895
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- Article
Soybean Cultivars Identification Using Remotely Sensed Image and Machine Learning Models.
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- Sustainability (2071-1050), 2022, v. 14, n. 12, p. N.PAG, doi. 10.3390/su14127125
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- Article
Spatiotemporal Analysis of Fire Foci and Environmental Degradation in the Biomes of Northeastern Brazil.
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- Sustainability (2071-1050), 2022, v. 14, n. 11, p. 6935, doi. 10.3390/su14116935
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- Article
CO 2 Flux Model Assessment and Comparison between an Airborne Hyperspectral Sensor and Orbital Multispectral Imagery in Southern Amazonia.
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- Sustainability (2071-1050), 2022, v. 14, n. 9, p. 5458, doi. 10.3390/su14095458
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- Article
The "New Transamazonian Highway": BR-319 and Its Current Environmental Degradation.
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- Sustainability (2071-1050), 2022, v. 14, n. 2, p. 823, doi. 10.3390/su14020823
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- Article
Impact Assessments of Typhoon Lekima on Forest Damages in Subtropical China Using Machine Learning Methods and Landsat 8 OLI Imagery.
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- Sustainability (2071-1050), 2021, v. 13, n. 9, p. 4893, doi. 10.3390/su13094893
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- Article
Retrieval and Evaluation of Chlorophyll-A Spatiotemporal Variability Using GF-1 Imagery: Case Study of Qinzhou Bay, China.
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- Sustainability (2071-1050), 2021, v. 13, n. 9, p. 4649, doi. 10.3390/su13094649
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- Article
Understanding the combining ability for physiological traits in soybean.
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- PLoS ONE, 2019, v. 14, n. 12, p. 1, doi. 10.1371/journal.pone.0226523
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- Article
High-throughput phenotyping allows the selection of soybean genotypes for earliness and high grain yield.
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- Plant Methods, 2022, v. 18, n. 1, p. 1, doi. 10.1186/s13007-022-00848-4
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- Article