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Marcos Rafael Nanni

Researcher at Universidade Estadual de Maringá

Publications -  115
Citations -  1913

Marcos Rafael Nanni is an academic researcher from Universidade Estadual de Maringá. The author has contributed to research in topics: Soil test & Hyperspectral imaging. The author has an hindex of 19, co-authored 97 publications receiving 1381 citations. Previous affiliations of Marcos Rafael Nanni include UEM Group.

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Spectral Reflectance Methodology in Comparison to Traditional Soil Analysis

TL;DR: In this paper, the spectral reflectance (SR) was used to measure soil attributes using satellite data as an alternative to traditional methods, such as traditional soil analyses are expensive, time-consuming, and may also result in environmental pollutants.
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Visible-NIR reflectance: a new approach on soil evaluation

TL;DR: In this paper, a spectral reflectance (SR)-based methodology was developed to evaluate soil types and soil tillage systems, which can be used as a methodology to assist soil surveys.
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The Brazilian Soil Spectral Library (BSSL): A general view, application and challenges

José Alexandre Melo Demattê, +64 more
- 15 Nov 2019 - 
TL;DR: The Brazilian Soil Spectral Library (BSSL) as mentioned in this paper was developed in a joint partnership with the Brazilian pedometrics community to standardize and evaluate spectra within the 350-2500nm range of Brazilian soils.
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Determining soil water status and other soil characteristics by spectral proximal sensing

TL;DR: In this paper, the authors evaluated spectral data of wet and dry tropical Brazilian soils with different hydration and determined a method to identify soil mineralogy, to evaluate clay minerals at different moisture stages and their relationship with soil minerals, and to determine a model to estimate soil moisture using spectral data measured in the laboratory by a spectroradiometer.
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Optimum size in grid soil sampling for variable rate application in site-specific management

TL;DR: In this paper, the authors evaluate the spatial variability of the main attributes that influence fertilization recommendations, using georeferenced soil samples arranged in grid patterns of different resolutions, and compare the spatial maps generated with those obtained with the standard sampling of 1 sample ha -1, in order to verify the appropriateness of the spatial resolution.