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Hyperspectral and Chlorophyll Fluorescence Analyses of Comparative Leaf Surfaces Reveal Cellular Influences on Leaf Optical Properties in Tradescantia Plants.
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- Cells (2073-4409), 2024, v. 13, n. 11, p. 952, doi. 10.3390/cells13110952
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- Article
Hyperspectral Data for Early Identification and Classification of Potassium Deficiency in Soybean Plants (Glycine max (L.) Merrill).
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- Remote Sensing, 2024, v. 16, n. 11, p. 1900, doi. 10.3390/rs16111900
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- Article
Estimation of Biochemical Compounds in Tradescantia Leaves Using VIS-NIR-SWIR Hyperspectral and Chlorophyll a Fluorescence Sensors.
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- Remote Sensing, 2024, v. 16, n. 11, p. 1910, doi. 10.3390/rs16111910
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- Article
Decreased Photosynthetic Efficiency in Nicotiana tabacum L. under Transient Heat Stress.
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- Plants (2223-7747), 2024, v. 13, n. 3, p. 395, doi. 10.3390/plants13030395
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- Article
Machine learning as a tool to predict potassium concentration in soybean leaf using hyperspectral data.
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- Precision Agriculture, 2023, v. 24, n. 6, p. 2264, doi. 10.1007/s11119-023-10040-w
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- Article
Assessment of Combined Reflectance, Transmittance, and Absorbance Hyperspectral Sensors for Prediction of Chlorophyll a Fluorescence Parameters.
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- Remote Sensing, 2023, v. 15, n. 20, p. 5067, doi. 10.3390/rs15205067
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- Article
Chemometric Analysis for the Prediction of Biochemical Compounds in Leaves Using UV-VIS-NIR-SWIR Hyperspectroscopy.
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- Plants (2223-7747), 2023, v. 12, n. 19, p. 3424, doi. 10.3390/plants12193424
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Rapid Determination of Soil Horizons and Suborders Based on VIS-NIR-SWIR Spectroscopy and Machine Learning Models.
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- Remote Sensing, 2023, v. 15, n. 19, p. 4859, doi. 10.3390/rs15194859
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- Article
Estimating Soil Organic Matter (SOM) Using Proximal Remote Sensing: Performance Evaluation of Prediction Models Adjusted at Local Scale in the Brazilian Cerrado.
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- Remote Sensing, 2023, v. 15, n. 18, p. 4397, doi. 10.3390/rs15184397
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Non−Invasive Assessment, Classification, and Prediction of Biophysical Parameters Using Reflectance Hyperspectroscopy.
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- Plants (2223-7747), 2023, v. 12, n. 13, p. 2526, doi. 10.3390/plants12132526
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- Article
Reflectance Spectroscopy for the Classification and Prediction of Pigments in Agronomic Crops.
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- Plants (2223-7747), 2023, v. 12, n. 12, p. 2347, doi. 10.3390/plants12122347
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- Article
Biophysical, Biochemical, and Photochemical Analyses Using Reflectance Hyperspectroscopy and Chlorophyll a Fluorescence Kinetics in Variegated Leaves.
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- Biology (2079-7737), 2023, v. 12, n. 5, p. 704, doi. 10.3390/biology12050704
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- Article
A Novel Method for Estimating Chlorophyll and Carotenoid Concentrations in Leaves: A Two Hyperspectral Sensor Approach.
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- Sensors (14248220), 2023, v. 23, n. 8, p. 3843, doi. 10.3390/s23083843
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- Article
Enhancing Pigment Phenotyping and Classification in Lettuce through the Integration of Reflectance Spectroscopy and AI Algorithms.
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- Plants (2223-7747), 2023, v. 12, n. 6, p. 1333, doi. 10.3390/plants12061333
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- Article
Classification and Prediction by Pigment Content in Lettuce (Lactuca sativa L.) Varieties Using Machine Learning and ATR-FTIR Spectroscopy.
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- Plants (2223-7747), 2022, v. 11, n. 24, p. 3413, doi. 10.3390/plants11243413
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- Article
Rapid Quantification Method for Yield, Calorimetric Energy and Chlorophyll a Fluorescence Parameters in Nicotiana tabacum L. Using Vis-NIR-SWIR Hyperspectroscopy.
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- Plants (2223-7747), 2022, v. 11, n. 18, p. N.PAG, doi. 10.3390/plants11182406
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- Article
Spectral Method for Liming Recommendation in Oxisol Based on the Prediction of Chemical Characteristics Using Interval Partial Least Squares Regression.
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- Remote Sensing, 2022, v. 14, n. 9, p. 1972, doi. 10.3390/rs14091972
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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
Simple, Fast and Efficient Methods for Analysing the Structural, Ultrastructural and Cellular Components of the Cell Wall.
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- Plants (2223-7747), 2022, v. 11, n. 7, p. 995, doi. 10.3390/plants11070995
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- Article
Mapping Particle Size and Soil Organic Matter in Tropical Soil Based on Hyperspectral Imaging and Non-Imaging Sensors.
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- Remote Sensing, 2021, v. 13, n. 9, p. 1782, doi. 10.3390/rs13091782
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Strategies for the Development of Spectral Models for Soil Organic Matter Estimation.
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- Remote Sensing, 2021, v. 13, n. 7, p. 1376, doi. 10.3390/rs13071376
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- Article
Yield Prediction in Soybean Crop Grown under Different Levels of Water Availability Using Reflectance Spectroscopy and Partial Least Squares Regression.
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- Remote Sensing, 2021, v. 13, n. 5, p. 977, doi. 10.3390/rs13050977
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- Article
Classification of Soybean Genotypes Assessed under Different Water Availability and at Different Phenological Stages Using Leaf-Based Hyperspectral Reflectance.
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- Remote Sensing, 2021, v. 13, n. 2, p. 172, doi. 10.3390/rs13020172
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- Article
Vis–NIR spectroscopy: from leaf dry mass production estimate to the prediction of macro- and micronutrients in soybean crops.
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- Journal of Applied Remote Sensing, 2020, v. 14, n. 4, p. 44505, doi. 10.1117/1.JRS.14.044505
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- Article
Vegetation Indices for Discrimination of Soybean Areas: A New Approach.
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- Agronomy Journal, 2017, v. 109, n. 4, p. 1331, doi. 10.2134/agronj2017.01.0003
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Estimativas de perda de solo em ambiente SIG utilizando diferentes fontes de dados topográficos.
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- Ambiência, 2016, v. 12, n. 1, p. 203, doi. 10.5935/ambiencia.2016.01.12
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- Article
Espectroscopia VIS-NIR-SWIR na avaliação de solos ao longo de uma topossequência em Piracicaba (SP).
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- Revista Ciência Agronômica, 2015, v. 46, n. 4, p. 679, doi. 10.5935/1806-6690.20150054
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- Article
Conversion of land use and cover in northwest Amazon (Brazil).
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- Agricultural Research in the Tropics / Pesquisa Agropecuária Tropical, 2014, v. 44, n. 3, p. 230, doi. 10.1590/S1983-40632014000300007
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- Article
In situ separation of soil types along transects employing Vis-NIR sensors: a new view of soil evaluation.
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- Revista Ciência Agronômica, 2014, v. 45, n. 3, p. 433, doi. 10.1590/S1806-66902014000300002
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- Article
Soil surface spectral data from Landsat imagery for soil class discrimination.
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- Acta Scientiarum: Agronomy, 2012, v. 34, n. 1, p. 103, doi. 10.4025/actasciagron.v34i1.12204
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Discriminação de unidades de paisagem para fins de levantamentos pedológicos por meio da resposta espectral orbital.
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- Acta Scientiarum: Agronomy, 2010, v. 32, n. 3, p. 555, doi. 10.4025/actasciagron.v32i3.6144
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- Article
Spectral Reflectance Methodology in Comparison to Traditional Soil Analysis.
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- Soil Science Society of America Journal, 2006, v. 70, n. 2, p. 393, doi. 10.2136/sssaj2003.0285
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- Article