Found: 40
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Assessing soil CO<sub>2</sub> emission on eucalyptus species using UAV-based reflectance and vegetation indices.
- Published in:
- Scientific Reports, 2024, v. 14, n. 1, p. 1, doi. 10.1038/s41598-024-71430-2
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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
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
Hyperspectral Response of the Soybean Crop as a Function of Target Spot (Corynespora cassiicola) Using Machine Learning to Classify Severity Levels.
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- AgriEngineering, 2024, v. 6, n. 1, p. 330, doi. 10.3390/agriengineering6010020
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- Article
Maize Crop Detection through Geo-Object-Oriented Analysis Using Orbital Multi-Sensors on the Google Earth Engine Platform.
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- AgriEngineering, 2024, v. 6, n. 1, p. 491, doi. 10.3390/agriengineering6010030
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- Article
Boron Fertilization Improves the Agronomic Performance of Soybean Genotypes in the Brazilian Cerrado.
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- Agriculture; Basel, 2024, v. 14, n. 1, p. 27, doi. 10.3390/agriculture14010027
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- Article
Applying Remote Sensing, Sensors, and Computational Techniques to Sustainable Agriculture: From Grain Production to Post-Harvest.
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- Agriculture; Basel, 2024, v. 14, n. 1, p. 161, doi. 10.3390/agriculture14010161
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- Article
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
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
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
Macro- and Micronutrient Contents and Their Relationship with Growth in Six Eucalyptus Species.
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- Sustainability (2071-1050), 2023, v. 15, n. 22, p. 15771, doi. 10.3390/su152215771
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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 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
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
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
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
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
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
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 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
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
Variable-rate seeding in soybean according to soil attributes related to grain yield.
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- Precision Agriculture, 2022, v. 23, n. 1, p. 35, doi. 10.1007/s11119-021-09826-7
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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
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
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
Variable-rate in corn sowing for maximizing grain yield.
- Published in:
- Scientific Reports, 2021, v. 11, n. 1, p. 1, doi. 10.1038/s41598-021-92238-4
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- Article
Predicting Eucalyptus Diameter at Breast Height and Total Height with UAV-Based Spectral Indices and Machine Learning.
- Published in:
- Forests (19994907), 2021, v. 12, n. 5, p. 582, doi. 10.3390/f12050582
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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
LIQUID NITROGEN FERTILIZATION ON THE YIELD AND PHENOLOGIC VARIABLES OF NARROW-ROW COTTON.
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- Bioscience Journal, 2020, v. 36, n. 6, p. 1858, doi. 10.14393/BJ-v36n6a2020-48156
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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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- Article
Persistent fire foci in all biomes undermine the Paris Agreement in Brazil.
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- Scientific Reports, 2020, v. 10, n. 1, p. N.PAG, doi. 10.1038/s41598-020-72571-w
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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
Understanding the combining ability for physiological traits in soybean.
- Published in:
- PLoS ONE, 2019, v. 14, n. 12, p. 1, doi. 10.1371/journal.pone.0226523
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- Article
Soil Chemical Attributes, Soil Type, and Rainfall Effects on Normalized Difference Vegetation Index and Cotton Fiber Yield Variability.
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- Agronomy Journal, 2019, v. 111, n. 6, p. 2910, doi. 10.2134/agronj2019.05.0375
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- Article
Correction: Factors affecting aerial spray drift in the Brazilian Cerrado.
- Published in:
- PLoS ONE, 2019, v. 14, n. 6, p. 1, doi. 10.1371/journal.pone.0217957
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- Article
Factors affecting aerial spray drift in the Brazilian Cerrado.
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- PLoS ONE, 2019, v. 14, n. 2, p. 1, doi. 10.1371/journal.pone.0212289
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- Article
Vegetation Indices to Estimate Spray Application Rates of Crop Protection Products in Corn.
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- Agronomy Journal, 2018, v. 110, n. 4, p. 1254, doi. 10.2134/agronj2017.12.0718
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- Article
Interação entre pressão e tamanho de gota por instrumentação eletrônica em pulverizador pressurizado por CO<sub>2</sub>.
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- Agricultural Research in the Tropics / Pesquisa Agropecuária Tropical, 2013, v. 43, n. 2, p. 164
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- Article
MAPEAMENTO DO ÍNDICE DE VEGETAÇÃO DA DIFERENÇA NORMALIZADA EM LAVOURA DE ALGODÃO.
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- Agricultural Research in the Tropics / Pesquisa Agropecuária Tropical, 2012, v. 42, n. 1, p. 112, doi. 10.1590/S1983-40632012000100016
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- Article