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R. N. R. Sibaldelli

Observed names: R. N.R. Sibaldelli, R.N.R. Sibaldelli, Rubson N. R. Sibaldelli, Rubson N.R. Sibaldelli, Rubson Natal Ribeiro Sibaldelli, SIBALDELLI, R, N. R., SIBALDELLI, R. N. R., Sibaldelli, Rubson Natal Ribeiro, Sibaldelli, Rubson Natal Ribeiro
Institution: Embrapa Soja
ORCID: 0000-0002-8711-438X
Observed ORCID: 0000-0002-8711-438X
OpenAlex ID: A5074830435
Nitrogen nutrition of soybean in Brazil: Contributions of biological N2 fixation and N fertilizer to grain yield
2006 · Mariangela Hungria, Julio C Franchini, et al. · Canadian Journal of Plant Science · 272
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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 · 87
NDVI variation according to the time of measurement, sampling size, positioning of sensor and water regime in different soybean cultivars
2016 · Luis Guilherme Teixeira Crusiol, Josirley de Fátima Corrêa Carvalho, et al. · Precision Agriculture · 64
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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 · 59
Alternative sowing dates as a mitigation measure to reduce climate change impacts on soybean yields in southern Brazil
2015 · Alexandre do Rio, Paulo C. Sentelhas, et al. · International Journal of Climatology · 46
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 · 45
Machine learning as a tool to predict potassium concentration in soybean leaf using hyperspectral data
2023 · Renato Herrig Furlanetto, Luís Guilherme Teixeira Crusiol, et al. · Precision Agriculture · 34
Yield Prediction in Soybean Crop Grown under Different Levels of Water Availability Using Reflectance Spectroscopy and Partial Least Squares Regression
2021 · Luís Guilherme Teixeira Crusiol, Marcos Rafael Nanni, et al. · Remote Sensing · 34
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Progressive Water Deficit Impairs Soybean Growth, Alters Metabolic Profiles, and Decreases Photosynthetic Efficiency
2025 · Renan Falcioni, Caio Almeida de Oliveira, et al. · Plants · 28
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Classification of Soybean Genotypes Assessed Under Different Water Availability and at Different Phenological Stages Using Leaf-Based Hyperspectral Reflectance
2021 · Luis Guilherme Teixeira Crusiol, Marcos Rafael Nanni, et al. · Remote Sensing · 26
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Soybean Yield Losses Related to Drought Events in Brazil: Spatial–Temporal Trends over Five Decades and Management Strategies
2024 · Rodrigo Cornacini Ferreira, Rubson Natal Ribeiro Sibaldelli, et al. · Agriculture · 19
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Hyperspectral Data for Early Identification and Classification of Potassium Deficiency in Soybean Plants (Glycine max (L.) Merrill)
2024 · Renato Herrig Furlanetto, Luís Guilherme Teixeira Crusiol, et al. · Remote Sensing · 19
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Identification and quantification of potassium (K+) deficiency in maize plants using an unmanned aerial vehicle and visible / near-infrared semi-professional digital camera
2021 · Renato Herrig Furlanetto, Marco Rafael Nanni, et al. · International Journal of Remote Sensing · 19
Horizontal and vertical droplet dispersion mimicking soybean - Septoria glycines pathosystem
2019 · Álvaro Manuel Rodrigues Almeida, Rubson Natal Ribeiro Sibaldelli, et al. · European Journal of Plant Pathology · 18
Phenotyping Soybeans for Drought Responses Using Remote Sensing Techniques and Non-Destructive Physiological Analysis
2015 · J.F.C. Carvalho, L.G.T. Crusiol, et al. · Global Science and Technology · 18
Strategies for the Development of Spectral Models for Soil Organic Matter Estimation
2021 · Everson Cezar, Marcos Rafael Nanni, et al. · Remote Sensing · 13
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Using leaf-based hyperspectral reflectance for genotype classification within a soybean germplasm collection assessed under different levels of water availability
2021 · Luís Guilherme Teixeira Crusiol, Patricia Braga, et al. · International Journal of Remote Sensing · 8
Soybean production and yield in the context of global climatic changes
2021 · Sergio Luiz Gonçalves, José Renato Bouças Farias,, et al. · CABI Reviews · 5
Uso de Geoestatística no Estudo da Variabilidade Espacial da Capacidade de Troca de Cátions do Solo
2015 · R.N.R. Sibaldelli, J.F.C. Carvalho, et al. · Global Science and Technology · 5
Boletim agrometeorológico da Embrapa Soja, Londrina, PR - 2014.
2015 · Rubson Natal Ribeiro Sibaldelli, Farias, José Renato Bouças · infoteca-e (Brazilian Agricultural Research Corporation) · 5
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Early Modeling of the Upcoming Landsat Next Constellation for Soybean Yield Prediction Under Varying Levels of Water Availability
2024 · Luís Guilherme Teixeira Crusiol, Marcos Rafael Nanni, et al. · Remote Sensing · 4
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Efficiency of cover materials in preventing evaporation in drought-stressed soybeans grown in pots
2015 · Leonardo Cesar Ferreira, Walkyria Neiverth, et al. · Revista de Ciências Agrarias - Amazon Journal of Agricultural and Environmental Sciences · 3
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Dissimilarity of parameterized maps generated in geostatistics and the assumption of an automatic software model in precision agriculture
2020 · Katiaíres Evangelista Delpin Malvezi Malvezi, Rubson Natal Ribeiro Sibaldelli, et al. · Semina Ciências Agrárias · 2
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Sistemas de cultivo utilizados na cultura da soja e efeito sobre a comunidade microbiana do solo.
2018 · Leandro A. Dias, Ivani de Oliveira Negrão Lopes, et al. · infoteca-e (Brazilian Agricultural Research Corporation) · 2
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Spatial variability of meteorological observations and impacts on regional estimates of soybean grain productivity
2017 · Rodrigo Cornacini Ferreira, Rubson Natal Ribeiro Sibaldelli, et al. · Semina Ciências Agrárias · 2
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Works count: 79
Citation count: 847
H-index: 15
I10-index: 16
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