Works by Teodoro, Larissa Pereira Ribeiro
Results: 82
High-Precision Phenotyping in Soybeans: Applying Multispectral Variables Acquired at Different Phenological Stages.
- Published in:
- AgriEngineering, 2025, v. 7, n. 2, p. 47, doi. 10.3390/agriengineering7020047
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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
Breeding strategies to consolidate canola among the main crops for biofuels.
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- Euphytica, 2022, v. 218, n. 1, p. 1, doi. 10.1007/s10681-021-02955-0
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- Article
Using combining ability as a strategy of upland cotton selection for high fiber quality.
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- Euphytica, 2021, v. 217, n. 9, p. 1, doi. 10.1007/s10681-021-02917-6
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- Article
Multi-trait multi-environment diallel analyses for maize breeding.
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- Euphytica, 2020, v. 216, n. 9, p. N.PAG, doi. 10.1007/s10681-020-02677-9
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- Article
Assessing soil CO<sub>2</sub> emission on eucalyptus species using UAV-based reflectance and vegetation indices.
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- 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
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
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
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
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
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
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
Adaptability and stability of soybean cultivars in the region of Chapadões.
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- Revista Ceres, 2021, v. 68, n. 4, p. 326, doi. 10.1590/0034-737X202168040010
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- Article
Real‐time equilibrium moisture content monitoring to predict grain quality of corn stored in silo and raffia bags.
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- Journal of Food Process Engineering, 2022, v. 45, n. 9, p. 1, doi. 10.1111/jfpe.14076
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- Article
Tempering time and air temperature relationships for real-scale paddy drying and their effects on the physical, physicochemical, and morphological qualities of polished rice.
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- Drying Technology, 2023, v. 41, n. 11, p. 1878, doi. 10.1080/07373937.2023.2199834
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- Article
Monitoring and predicting corn grain quality on the transport and post-harvest operations in storage units using sensors and machine learning models.
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- Scientific Reports, 2024, v. 14, n. 1, p. 1, doi. 10.1038/s41598-024-56879-5
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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
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
Effect of Water Deficit on Secondary Metabolites and Nutrient Content on Forage Sorghum.
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- Agronomy, 2024, v. 14, n. 9, p. 2046, doi. 10.3390/agronomy14092046
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- Article
Influential Points in Adaptability and Stability Methods Based on Regression Models in Cotton Genotypes.
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- Agronomy, 2021, v. 11, n. 11, p. 2179, doi. 10.3390/agronomy11112179
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- Article
Saline stress affects the growth of Saccharum complex genotypes.
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- Journal of Agronomy & Crop Science, 2023, v. 209, n. 5, p. 613, doi. 10.1111/jac.12647
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- Article
Grain sorghum hybrids under drought stress and full‐irrigation conditions in the Brazilian Semiarid.
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- Journal of Agronomy & Crop Science, 2022, v. 208, n. 6, p. 868, doi. 10.1111/jac.12539
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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
Impacts of saline stress on the physiology of Saccharum complex genotypes.
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- Journal of Agronomy & Crop Science, 2022, v. 208, n. 1, p. 120, doi. 10.1111/jac.12577
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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
Multivariate adaptability and stability of soya bean genotypes for abiotic stresses.
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- Journal of Agronomy & Crop Science, 2021, v. 207, n. 2, p. 354, doi. 10.1111/jac.12446
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- Article
Physiological performance of soybean genotypes grown under irrigated and rainfed conditions.
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- Journal of Agronomy & Crop Science, 2021, v. 207, n. 1, p. 34, doi. 10.1111/jac.12448
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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
Agronomic performance and water‐use efficiency of F<sub>3</sub> soybean populations grown under contrasting base saturation.
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- Journal of Agronomy & Crop Science, 2020, v. 206, n. 6, p. 806, doi. 10.1111/jac.12413
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- Article
Multi‐trait stability index: A tool for simultaneous selection of soya bean genotypes in drought and saline stress.
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- Journal of Agronomy & Crop Science, 2020, v. 206, n. 6, p. 815, doi. 10.1111/jac.12409
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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
A New Proposal for Soybean Plant Stand: Variation Based on the Law of the Minimum.
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- Plants (2223-7747), 2024, v. 13, n. 22, p. 3193, doi. 10.3390/plants13223193
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- Article
Predicting the quality of soybean seeds stored in different environments and packaging using machine learning.
- Published in:
- Scientific Reports, 2022, v. 12, n. 1, p. 1, doi. 10.1038/s41598-022-12863-5
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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
Silicon mitigates nutritional stress in quinoa (Chenopodium quinoa Willd.).
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- Scientific Reports, 2021, v. 11, n. 1, p. 1, doi. 10.1038/s41598-021-94287-1
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- Article
Multi-volume modeling of Eucalyptus trees using regression and artificial neural networks.
- Published in:
- PLoS ONE, 2020, v. 15, n. 9, p. 1, doi. 10.1371/journal.pone.0238703
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- Article
Multivariate statistical analysis applied to physical properties of soybean seeds cultivars on the post-harvest.
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- Acta Scientiarum: Agronomy, 2024, v. 46, p. 1, doi. 10.4025/actasciagron.v46i1.63664
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- Article
Characterization of the Droplet Population Generated by Centrifugal Atomization Nozzles of UAV Sprayers.
- Published in:
- AgriEngineering, 2025, v. 7, n. 1, p. 15, doi. 10.3390/agriengineering7010015
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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
Multispectral Sensors and Machine Learning as Modern Tools for Nutrient Content Prediction in Soil.
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- AgriEngineering, 2024, v. 6, n. 4, p. 4384, doi. 10.3390/agriengineering6040248
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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
Maize Crop Detection through Geo-Object-Oriented Analysis Using Orbital Multi-Sensors on the Google Earth Engine Platform.
- Published in:
- AgriEngineering, 2024, v. 6, n. 1, p. 491, doi. 10.3390/agriengineering6010030
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- Article