Works by da Silva Junior, Carlos Antonio
Results: 91
High-Precision Phenotyping in Soybeans: Applying Multispectral Variables Acquired at Different Phenological Stages.
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- AgriEngineering, 2025, v. 7, n. 2, p. 47, doi. 10.3390/agriengineering7020047
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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
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
Eucalyptus Species Discrimination Using Hyperspectral Sensor Data and Machine Learning.
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- Forests (19994907), 2024, v. 15, n. 1, p. 39, doi. 10.3390/f15010039
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- Article
Predicting Eucalyptus Diameter at Breast Height and Total Height with UAV-Based Spectral Indices and Machine Learning.
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- Forests (19994907), 2021, v. 12, n. 5, p. 582, doi. 10.3390/f12050582
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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
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
Interference of a weed community in the soybean crop in functions of sowing spacing.
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- Revista Ciência Agronômica, 2017, v. 48, n. 4, p. 605, doi. 10.5935/1806-6690.20170070
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- Article
Coberturas mortas de inverno e controle químico sobre plantas daninhas na cultura do milho.
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- Revista Ciência Agronômica, 2016, v. 47, n. 4, p. 649, doi. 10.5935/1806-6690.20160078
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- Article
High-throughput phenotyping as an auxiliary tool in the selection of corn hybrids for agronomic traits.
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- Revista Ceres, 2023, v. 70, n. 1, p. 106, doi. 10.1590/0034-737X202370010012
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- Article
Correlação entre produção de feijão e atributos físicos de um Latossolo em Mato Grosso do Sul.
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- Revista Ceres, 2013, v. 60, n. 6, p. 772, doi. 10.1590/s0034-737x2013000600005
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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
CHLORIMURON-ETHYL IN CONVENTIONAL AND TRANSGENIC SOYBEAN CULTIVARS UNDER WATER DEFICIT STRESS.
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- Revista Caatinga, 2018, v. 31, n. 4, p. 832, doi. 10.1590/1983-21252018v31n405rc
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- Article
SELECTIVITY OF SAFLUFENACIL APPLIED SINGLY AND IN COMBINATION WITH GLYPHOSATE ON COFFEE AND CITRUS CROPS.
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- Revista Caatinga, 2016, v. 29, n. 1, p. 45
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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
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
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
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
Importance of legislation for maintaining forests on private properties in the Brazilian Cerrado.
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- Environment, Development & Sustainability, 2022, v. 24, n. 3, p. 3356, doi. 10.1007/s10668-021-01569-9
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- Article
Environmental dynamics of the Juruá watershed in the Amazon.
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- Environment, Development & Sustainability, 2021, v. 23, n. 5, p. 6769, doi. 10.1007/s10668-020-00890-z
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- Article
Influence of the El Niño–Southern Oscillation and the sypnotic systems on the rainfall variability over the Brazilian Cerrado via Climate Hazard Group InfraRed Precipitation with Station data.
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- International Journal of Climatology, 2022, v. 42, n. 6, p. 3308, doi. 10.1002/joc.7417
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- Article
Rainfall extremes and drought in Northeast Brazil and its relationship with El Niño–Southern Oscillation.
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- International Journal of Climatology, 2021, v. 41, p. E2111, doi. 10.1002/joc.6835
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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
19-year remotely sensed data in the forecast of spectral models of the environment.
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- International Journal of Digital Earth, 2021, v. 14, n. 8, p. 1040, doi. 10.1080/17538947.2021.1923841
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- Article
Object-based image analysis supported by data mining to discriminate large areas of soybean.
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- International Journal of Digital Earth, 2019, v. 12, n. 3, p. 270, doi. 10.1080/17538947.2017.1421722
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- Article
Exploring climate extremes in Brazil's Legal Amazon.
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- Stochastic Environmental Research & Risk Assessment, 2024, v. 38, n. 4, p. 1403, doi. 10.1007/s00477-023-02634-7
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- Article
Reduction of pesticide application via real-time precision spraying.
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- Scientific Reports, 2022, v. 12, n. 1, p. 1, doi. 10.1038/s41598-022-09607-w
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- Article
Advance of soy commodity in the southern Amazonia with deforestation via PRODES and ImazonGeo: a moratorium-based approach.
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- Scientific Reports, 2021, v. 11, n. 1, p. 1, doi. 10.1038/s41598-021-01350-y
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- Article
Conversion of land use and cover in northwest Amazon (Brazil).
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- Agricultural Research in the Tropics / Pesquisa Agropecuária Tropical, 2014, v. 44, n. 3, p. 230, doi. 10.1590/S1983-40632014000300007
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- Article
Comparative study between phenotypic and genomic analyses aimed at choosing parents for hybridization purposes.
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- Acta Scientiarum: Agronomy, 2023, v. 45, p. 1, doi. 10.4025/actasciagron.v45i1.61550
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- Article
Computational intelligence to study the importance of characteristics in flood-irrigated rice.
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- Acta Scientiarum: Agronomy, 2023, v. 45, p. 1, doi. 10.4025/actasciagron.v45i1.57209
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- Article
Genetic progress over twenty-three years of irrigated rice breeding in southeastern Brazil.
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- Acta Scientiarum: Agronomy, 2021, v. 43, p. 1, doi. 10.4025/actasciagron.v43i1.45767
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- Article
Self-organizing maps in the study of genetic diversity among irrigated rice genotypes.
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- Acta Scientiarum: Agronomy, 2019, v. 41, p. 1, doi. 10.4025/actasciagron.v41i1.39803
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- Article
Differentiation of Soybean Genotypes Concerning Seed Physiological Quality Using Hyperspectral Bands.
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- AgriEngineering, 2024, v. 6, n. 4, p. 4752, doi. 10.3390/agriengineering6040272
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- Article
Multispectral Information in the Classification of Soybean Genotypes Using Algorithms Regarding Micronutrient Nutritional Contents.
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- AgriEngineering, 2024, v. 6, n. 4, p. 4493, doi. 10.3390/agriengineering6040256
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- Article
Caffeine Content Prediction in Coffee Beans Using Hyperspectral Reflectance and Machine Learning.
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- AgriEngineering, 2024, v. 6, n. 4, p. 4480, doi. 10.3390/agriengineering6040255
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- Article
Can Different Cultivars of Panicum maximum Be Identified Using a VIS/NIR Sensor and Machine Learning?
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- AgriEngineering, 2024, v. 6, n. 4, p. 3739, doi. 10.3390/agriengineering6040213
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- Article
Classification of Soybean Genotypes as to Calcium, Magnesium, and Sulfur Content Using Machine Learning Models and UAV–Multispectral Sensor.
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- AgriEngineering, 2024, v. 6, n. 2, p. 1581, doi. 10.3390/agriengineering6020090
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- Article