Marcos Rafael Nanni
Orcid: 0000-0003-4854-2661
According to our database1,
Marcos Rafael Nanni
authored at least 15 papers
between 2016 and 2024.
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Bibliography
2024
Hyperspectral Data for Early Identification and Classification of Potassium Deficiency in Soybean Plants (Glycine max (L.) Merrill).
Remote. Sens., June, 2024
Estimation of Biochemical Compounds in Tradescantia Leaves Using VIS-NIR-SWIR Hyperspectral and Chlorophyll a Fluorescence Sensors.
Remote. Sens., June, 2024
2023
Rapid Determination of Soil Horizons and Suborders Based on VIS-NIR-SWIR Spectroscopy and Machine Learning Models.
Remote. Sens., October, 2023
Assessment of Combined Reflectance, Transmittance, and Absorbance Hyperspectral Sensors for Prediction of Chlorophyll a Fluorescence Parameters.
Remote. Sens., October, 2023
Estimating Soil Organic Matter (SOM) Using Proximal Remote Sensing: Performance Evaluation of Prediction Models Adjusted at Local Scale in the Brazilian Cerrado.
Remote. Sens., September, 2023
A Novel Method for Estimating Chlorophyll and Carotenoid Concentrations in Leaves: A Two Hyperspectral Sensor Approach.
Sensors, 2023
2022
VIS-NIR-SWIR Hyperspectroscopy Combined with Data Mining and Machine Learning for Classification of Predicted Chemometrics of Green Lettuce.
Remote. Sens., December, 2022
Spectral Method for Liming Recommendation in Oxisol Based on the Prediction of Chemical Characteristics Using Interval Partial Least Squares Regression.
Remote. Sens., 2022
2021
Mapping Particle Size and Soil Organic Matter in Tropical Soil Based on Hyperspectral Imaging and Non-Imaging Sensors.
Remote. Sens., 2021
Yield Prediction in Soybean Crop Grown under Different Levels of Water Availability Using Reflectance Spectroscopy and Partial Least Squares Regression.
Remote. Sens., 2021
Classification of Soybean Genotypes Assessed Under Different Water Availability and at Different Phenological Stages Using Leaf-Based Hyperspectral Reflectance.
Remote. Sens., 2021
Strategies for the Development of Spectral Models for Soil Organic Matter Estimation.
Remote. Sens., 2021
2019
Object-based image analysis supported by data mining to discriminate large areas of soybean.
Int. J. Digit. Earth, 2019
Int. J. Appl. Earth Obs. Geoinformation, 2019
2016
Remote Sensing from Ground to Space Platforms Associated with Terrain Attributes as a Hybrid Strategy on the Development of a Pedological Map.
Remote. Sens., 2016