Found: 19
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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
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
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
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
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
Understanding the combining ability of nutritional, agronomic and industrial traits in soybean F<sub>2</sub> progenies.
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- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-45271-4
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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
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
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
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
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
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
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
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