17 results on '"Teodoro, Larissa Pereira Ribeiro"'
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2. A New Approach to Identifying Sorghum Hybrids Using UAV Imagery Using Multispectral Signature and Machine Learning
3. Machine Learning in the Hyperspectral Classification of Glycaspis brimblecombei (Hemiptera Psyllidae) Attack Severity in Eucalyptus
4. Macro- and Micronutrient Contents and Their Relationship with Growth in Six Eucalyptus Species
5. Machine Learning Methods for Woody Volume Prediction in Eucalyptus
6. Changes in Carbon Dioxide Balance Associated with Land Use and Land Cover in Brazilian Legal Amazon Based on Remotely Sensed Imagery
7. Machine Learning in the Classification of Soybean Genotypes for Primary Macronutrients’ Content Using UAV–Multispectral Sensor
8. Maize Yield Prediction with Machine Learning, Spectral Variables and Irrigation Management
9. Wildfire Incidence throughout the Brazilian Pantanal Is Driven by Local Climate Rather Than Bovine Stocking Density
10. Soybean Cultivars Identification Using Remotely Sensed Image and Machine Learning Models
11. CO2Flux Model Assessment and Comparison between an Airborne Hyperspectral Sensor and Orbital Multispectral Imagery in Southern Amazonia
12. The “New Transamazonian Highway”: BR-319 and Its Current Environmental Degradation
13. Fires Drive Long-Term Environmental Degradation in the Amazon Basin
14. Predicting Days to Maturity, Plant Height, and Grain Yield in Soybean: A Machine and Deep Learning Approach Using Multispectral Data
15. Influential Points in Adaptability and Stability Methods Based on Regression Models in Cotton Genotypes
16. Predicting Eucalyptus Diameter at Breast Height and Total Height with UAV-Based Spectral Indices and Machine Learning
17. Leaf Nitrogen Concentration and Plant Height Prediction for Maize Using UAV-Based Multispectral Imagery and Machine Learning Techniques
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