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Marcos Rafael Nanni

Observed names: M. R Nanni, M. R. Nanni, M.R Nanni, MARCOS RAFAEL NANNI, Marco Rafael Nanni, Marcos Rafael Nanni, Marcos R Nanni, Marcos R. Nanni, Marcos Rafael nanni, Nanni, Marcos Rafael, Nanni, Marcosrafael, Rafael Nanni Marcos
Observed institutions: Conselho Nacional de Desenvolvimento Científico e Tecnológico, Universidade Estadual de Maringá, Universidade Estadual de Londrina, Universidade Federal de Viçosa, Universidade de São Paulo, Instituto Federal Goiano, Sig Holding (Switzerland), Instituto Federal de Goiás, Universidade Estadual do Centro-Oeste, Centro Universitário de Rio Preto
ORCID: 0000-0003-4854-2661
Observed ORCID: 0000-0003-4854-2661
OpenAlex ID: A5040950081
Spectral Reflectance Methodology in Comparison to Traditional Soil Analysis
2006 · Marcos Rafael Nanni, José Alexandre M. Demattê · Soil Science Society of America Journal · 343
Visible–NIR reflectance: a new approach on soil evaluation
2004 · José A.M Demattê, Rogério C Campos, et al. · Geoderma · 228
The Brazilian Soil Spectral Library (BSSL): A general view, application and challenges
2019 · José A.M. Demattê, André Carnieletto Dotto, et al. · Geoderma · 189
Determining soil water status and other soil characteristics by spectral proximal sensing
2006 · J.A.M. Demattê, Antonio A. Sousa, et al. · Geoderma · 92
Quantification of tropical soil attributes from ETM+/LANDSAT‐7 data
2007 · J. A. M. Demattê, M. V. Galdos, et al. · International Journal of Remote Sensing · 85
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UAV-based thermal imaging in the assessment of water status of soybean plants
2019 · Luís Guilherme Teixeira Crusiol, Marcos Rafael Nanni, et al. · International Journal of Remote Sensing · 84
Optimum size in grid soil sampling for variable rate application in site-specific management
2011 · Marcos Rafael Nanni, Fabrício Pinheiro Povh, et al. · Scientia Agricola · 80
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Soybean varieties discrimination using non-imaging hyperspectral sensor
2018 · Carlos Antonio da Silva Junior, Marcos Rafael Nanni, et al. · Infrared Physics & Technology · 75
A Novel Method for Estimating Chlorophyll and Carotenoid Concentrations in Leaves: A Two Hyperspectral Sensor Approach
2023 · Renan Falcioni, Werner Camargos Antunes, et al. · Sensors · 71
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Distinct growth light and gibberellin regimes alter leaf anatomy and reveal their influence on leaf optical properties
2017 · Renan Falcioni, Thaise Moriwaki, et al. · Environmental and Experimental Botany · 67
Nitrogen-improved photosynthesis quantum yield is driven by increased thylakoid density, enhancing green light absorption
2018 · Thaise Moriwaki, Renan Falcioni, et al. · Plant Science · 66
High resolution leaf spectral signature as a tool for foliar pigment estimation displaying potential for species differentiation
2020 · Renan Falcioni, Thaise Moriwaki, et al. · Journal of Plant Physiology · 64
Vegetation indices and NIR-SWIR spectral bands as a phenotyping tool for water status determination in soybean
2020 · P. Braga, L. G. T. Crusiol, et al. · Precision Agriculture · 61
Assessing the sensitive spectral bands for soybean water status monitoring and soil moisture prediction using leaf-based hyperspectral reflectance
2022 · Luís Guilherme Teixeira Crusiol, Marcos Rafael Nanni, et al. · Agricultural Water Management · 57
Vegetation Indices for Discrimination of Soybean Areas: A New Approach
2017 · Carlos Antonio da Silva, Marcos Rafael Nanni, et al. · Agronomy Journal · 54
Satellite land surface temperature and reflectance related with soil attributes
2018 · Veridiana Maria Sayão, José A.M. Demattê, et al. · Geoderma · 53
Hyperspectral reflectance imaging to classify lettuce varieties by optimum selected wavelengths and linear discriminant analysis
2020 · Renato Herrig Furlanetto, Thaise Moriwaki, et al. · Remote Sensing Applications Society and Environment · 43
Methodology for Bare Soil Detection and Discrimination by Landsat TM Image
2009 · Jose A.M. Dematte, Alfredo R. Huete, et al. · The Open Remote Sensing Journal · 41
Reflectance Spectroscopy for the Classification and Prediction of Pigments in Agronomic Crops
2023 · Renan Falcioni, Werner Camargos Antunes, et al. · Plants · 40
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Strategies for monitoring within-field soybean yield using Sentinel-2 Vis-NIR-SWIR spectral bands and machine learning regression methods
2022 · L. G.T. Crusiol, Liang Sun, et al. · Precision Agriculture · 40
Classification and Prediction by Pigment Content in Lettuce (Lactuca sativa L.) Varieties Using Machine Learning and ATR-FTIR Spectroscopy
2022 · Renan Falcioni, Thaise Moriwaki, et al. · Plants · 39
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Spectral reflectance for the mineralogical evaluation of Brazilian low clay activity soils
2007 · J. A. M. Demattê, M. R. Nanni, et al. · International Journal of Remote Sensing · 38
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Weathering sequence of soils developed from basalt as evaluated by laboratory (IRIS), airborne (AVIRIS) and orbital (TM) sensors
2003 · J. A. M. Demattê, M. R. Nanni · International Journal of Remote Sensing · 38
Vis–NIR spectroscopy: from leaf dry mass production estimate to the prediction of macro- and micronutrients in soybean crops
2020 · Marlon Rodrigues, Marcos Rafael Nanni, et al. · Journal of Applied Remote Sensing · 35
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Mapping Particle Size and Soil Organic Matter in Tropical Soil Based on Hyperspectral Imaging and Non-Imaging Sensors
2021 · Marcos Rafael Nanni, José Alexandre Melo Demattê, et al. · Remote Sensing · 34
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Works count: 211
Citation count: 3,474
H-index: 32
I10-index: 86
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