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6. Diversity and botanical composition of native species in the Pampa biome in vineyards cultivated on soils with high levels of copper, zinc and manganese and phytoremediation potential

11. Effect of organic and mineral fertilizers applications in pasture and no-tillage system on crop yield, fractions and contaminant potential of Cu and Zn

15. Strategies to Increase the Phosphorus Content in the Soil Profile of Vineyards Grown in Subtropical Climates.

16. Carbon and Nitrogen Stocks in Vineyard Soils Amended with Grape Pomace Residues.

19. Heavy Metal-Based Fungicides Alter the Chemical Fractions of Cu, Zn, and Mn in Vineyards in Southern Brazil.

20. Sentinel-1 Imagery Used for Estimation of Soil Organic Carbon by Dual-Polarization SAR Vegetation Indices

22. Grape Yield Prediction Models: Approaching Different Machine Learning Algorithms.

24. EFICIÊNCIA DE MÉTODOS MULTIVARIADOS NA PREDIÇÃO ESPACIAL DO TEOR DE CARBONO ORGÂNICO DO SOLO

28. Proposition of critical levels and nutrient sufficiency ranges in leaves of 'White Moscato' (Vitis vinifera 'Muscat') and 'Bordeaux' (Vitis labrusca 'Ives').

29. Diagnóstico da fertilidade do solo e níveis críticos de nutrientes em folhas de videiras ‘Bordô’ e ‘Moscato Branco’

32. Correction: Demattê et al. The Brazilian Soil Spectral Service (BraSpecS): A User-Friendly System for Global Soil Spectra Communication. Remote Sens. 2022, 14, 740

33. How do native grasses from South America handle zinc excess in the soil? A physiological approach

34. The Brazilian Soil Spectral Service (BraSpecS): A User-Friendly System for Global Soil Spectra Communication

40. Copper and Zinc fractions and adsorption in sandy soil with long-term pig manure application.

43. Soil depth prediction by digital soil mapping and its impact in pine forestry productivity in South Brazil

45. Diffuse reflectance spectroscopy to estimate the concentration of chemical elements in soil and sediment combining pre-processing methods with machine learning 

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