299 results on '"Teodoro, Larissa Pereira Ribeiro"'
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2. Machine learning for classification of soybean populations for industrial technological variables based on agronomic traits
3. Monitoring and predicting the quality of soybeans for different drying and storage technologies on a real scale using sensors and Machine Learning models
4. Land use predicition accuracy of different supervised classifiers over agriculture and livestock economy-based municipality in Brazil
5. Classification of soybean groups for grain yield and industrial traits using Vnir-Swir spectroscopy
6. Machine learning in the classification of asian rust severity in soybean using hyperspectral sensor
7. High-throughput phenotyping using VIS/NIR spectroscopy in the classification of soybean genotypes for grain yield and industrial traits
8. Statistical methods for genetic evaluation and selection of parents and hybrids of grain sorghum
9. Dynamics of major environmental disasters involving fire in the Brazilian Pantanal
10. Understanding the combining ability of nutritional, agronomic and industrial traits in soybean F2 progenies
11. Sensor-cable-probe and sampler for early detection and prediction of dry matter loss and real-time corn grain quality in transport and storage
12. New approach for predicting nitrogen and pigments in maize from hyperspectral data and machine learning models
13. Soil CO2 emissions under different land-use managements in Mato Grosso do Sul, Brazil
14. Spectral variables as criteria for selection of soybean genotypes at different vegetative stages
15. Remotely sensed imagery and machine learning for mapping of sesame crop in the Brazilian Midwest
16. Planting Arrangement and Seedling Type Influence Yield and Quality of Ratoon Sugarcane?
17. Implications of CO2 emissions on the main land and forest uses in the Brazilian Amazon
18. Spectro-temporal analysis of anthropic interference in water production in the Guarani Aquifer
19. Classification of soybean genotypes for industrial traits using UAV multispectral imagery and machine learning
20. Geographical adaptability for optimizing the recommendation of soybean cultivars in the Brazilian Cerrado
21. High-throughput phenotyping of two plant-size traits of Eucalyptus species using neural networks
22. Prototype wireless sensor network and Internet of Things platform for real-time monitoring of intergranular equilibrium moisture content and predict the quality corn stored in silos bags
23. Amazonian species evaluation using leaf-based spectroscopy data and dimensionality reduction approaches
24. Structure and genetic diversity of macauba [Acrocomia aculeata (Jacq.) Lodd. ex Mart.] approached by SNP markers to assist breeding strategies
25. Variable-rate seeding in soybean according to soil attributes related to grain yield
26. Prognosis of aboveground woody biomass in a central Brazilian Cerrado monitored for 27 years after the implementation of management systems
27. Genetic diversity and population structure in Jatropha (Jatrophacurcas L.) based on molecular markers
28. High-throughput phenotyping allows the selection of soybean genotypes for earliness and high grain yield
29. Predicting the quality of soybean seeds stored in different environments and packaging using machine learning
30. Reduction of pesticide application via real-time precision spraying
31. Effect of land uses and land cover on soil attributes in the southern Brazilian Amazon
32. Assessing soil CO2 emission on eucalyptus species using UAV-based reflectance and vegetation indices.
33. Flavonoids and their relationship with the physiological quality of seeds from different soybean genotypes.
34. Rainfall and Extreme Drought Detection: An Analysis for a Potential Agricultural Region in the Southern Brazilian Amazon.
35. Monitoring and predicting corn grain quality on the transport and post-harvest operations in storage units using sensors and machine learning models
36. Applying Remote Sensing, Sensors, and Computational Techniques to Sustainable Agriculture: From Grain Production to Post-Harvest
37. A New Approach to Identifying Sorghum Hybrids Using UAV Imagery Using Multispectral Signature and Machine Learning
38. UAV-based multispectral sensor to measure variations in corn as a function of nitrogen topdressing
39. Structural equation modelling and factor analysis of the relationship between agronomic traits and vegetation indices in corn
40. Classification of Soybean Genotypes as to Calcium, Magnesium, and Sulfur Content Using Machine Learning Models and UAV–Multispectral Sensor.
41. Twenty-year impact of fire foci and its relationship with climate variables in Brazilian regions
42. Breeding strategies to consolidate canola among the main crops for biofuels
43. Simulating multispectral MSI bandsets (Sentinel-2) from hyperspectral observations via spectroradiometer for identifying soybean cultivars
44. Identification of tillage for soybean crop by spectro-temporal variables, GEOBIA, and decision tree
45. Machine Learning in the Hyperspectral Classification of Glycaspis brimblecombei (Hemiptera Psyllidae) Attack Severity in Eucalyptus
46. Macro- and Micronutrient Contents and Their Relationship with Growth in Six Eucalyptus Species
47. New approach for predicting nitrogen and pigments in maize from hyperspectral data and machine learning models
48. Increasing selection gain and accuracy of harvest prediction models in Jatropha through genome-wide selection
49. Silicon mitigates nutritional stress in quinoa (Chenopodium quinoa Willd.)
50. Advance of soy commodity in the southern Amazonia with deforestation via PRODES and ImazonGeo: a moratorium-based approach
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