A. F. S. Teixeira

发表

Rapid soil fertility prediction using X-ray fluorescence data and machine learning algorithms

Fausto Weimar Acerbi Júnior, N. Curi, F. W. Acerbi Júnior, 2021 .

Mapping land use capability in tropical conditions adapting criteria to different levels of agricultural management

N. Curi, M. D. Menezes, A. F. S. Teixeira, 2018, Ciência e Agrotecnologia.

Study of an abnormal occurrence of Oxisols in strongly undulated relief in the south of Minas Gerais, Brazil, with support of pXRF and geomorphology

N. Curi, Walbert Júnior Reis dos Santos, S. Silva, 2021, Ciência e Agrotecnologia.

Soil microbiological attributes indicate recovery of an iron mining area and of the biological quality of adjacent phytophysiognomies

F. Moreira, A. O. Silva, A. F. S. Teixeira, 2018 .

Proximal sensor data fusion and auxiliary information for tropical soil property prediction: Soil texture

S. Chakraborty, D. Weindorf, N. Curi, 2022, Geoderma.

Proximal sensor data fusion for tropical soil property prediction: Soil fertility properties

S. Chakraborty, D. Weindorf, N. Curi, 2022, Journal of South American Earth Sciences.

Tropical soil pH and sorption complex prediction via portable X-ray fluorescence spectrometry

Fausto Weimar Acerbi Júnior, S. Chakraborty, D. Weindorf, 2020 .

Soils of the Brazilian Coastal Plains biome: prediction of chemical attributes via portable X-ray fluorescence (pXRF) spectrometry and robust prediction models

N. Curi, L. Guilherme, L. C. A. Melo, 2020 .

Assessing soil mineralogy and weathering degree by a multi-range sensor synergistic approach: From parent rock to topsoil

Jorge Tadeu Fim Rosas, M. Nanni, N. Curi, 2022, Journal of South American Earth Sciences.

Proximal sensor data fusion for Brazilian soil properties prediction: Exchangeable/available macronutrients, aluminum, and potential acidity

S. Chakraborty, D. Weindorf, N. Curi, 2022, Geoderma Regional.

Multiple linear regression and random forest to predict and map soil properties using data from portable X-ray fluorescence spectrometer (pXRF).

N. Curi, M. D. Menezes, L. Guilherme, 2017 .

Sustainable productive intensification for family farming in developing tropical countries

N. Curi, T. S. Carvalho, A. F. S. Teixeira, 2019, Ciência e Agrotecnologia.

Soil texture prediction in tropical soils: A portable X-ray fluorescence spectrometry approach

Fausto Weimar Acerbi Júnior, D. Weindorf, N. Curi, 2020 .

Soil weathering analysis using a portable X-ray fluorescence (PXRF) spectrometer in an Inceptisol from the Brazilian Cerrado

A. Hartemink, N. Curi, L. Guilherme, 2018, Applied Clay Science.

Portable X-ray fluorescence (pXRF) spectrometry applied to the prediction of chemical attributes in Inceptisols under different land uses

D. Weindorf, N. Curi, L. Guilherme, 2018, Ciência e Agrotecnologia.

Arbuscular mycorrhizal fungal communities in an iron mining area and its surroundings: Inoculum potential, density, and diversity of spores related to soil properties

M. Carneiro, Karl Kemmelmeier, S. L. Stürmer, 2017 .

Diversity and biotechnological potential of rhizobia isolated from lima bean nodules collected at a semiarid region

M. Rufini, A. O. Silva, F. Carvalho, 2021, Soil Science Society of America Journal.

Microbiological indicators of soil quality predicted via proximal and remote sensing

S. Chakraborty, D. Weindorf, Teotonio Soares de Carvalho, 2021 .

Genetic and symbiotic characterization of rhizobia nodulating legumes in a mining area in southeast Brazil

M. Pereira, A. F. S. Teixeira, A. A. Guimarães, 2022 .

Symbiotic Microorganisms Enhance Antioxidant Defense in Plants Exposed to Metal/Metalloid-Contaminated Soils

A. F. S. Teixeira, F. Lourenço, L. Vilela, 2018 .

From sensor data to Munsell color system: Machine learning algorithm applied to tropical soil color classification via Nix™ Pro sensor

Somsubhra Chakraborty, Sérgio Henrique Godinho Silva, Nilton Curi, 2020 .

Prediction of soil nutrient content via pXRF spectrometry and its spatial variation in a highly variable tropical area

S. Chakraborty, D. Weindorf, N. Curi, 2021, Precision Agriculture.

Prediction of soil nutrient content via pXRF spectrometry and its spatial variation in a highly variable tropical area

S. Chakraborty, D. Weindorf, N. Curi, 2021, Precision Agriculture.

Combining Proximal and Remote Sensors in Spatial Prediction of Five Micronutrients and Soil Texture in a Case Study at Farmland Scale in Southeastern Brazil

D. Weindorf, N. Curi, M. D. de Menezes, 2022, Agronomy.

Soil physicochemical properties and terrain information predict soil enzymes activity in phytophysiognomies of the Quadrilátero Ferrífero region in Brazil

T. S. Carvalho, A. O. Silva, A. F. S. Teixeira, 2021 .

Correcting field determination of elemental contents in soils via portable X-ray fluorescence spectrometry

Thaís Santos Branco Dijair, N. Curi, L. Guilherme, 2020, Ciência e Agrotecnologia.

Parent material distribution mapping from tropical soils data via machine learning and portable X-ray fluorescence (pXRF) spectrometry in Brazil

S. Chakraborty, D. Weindorf, N. Curi, 2019, Geoderma.

Microbiological Indicators of Soil Quality Under Native Forests are Influenced by Topographic Factors.

M. Carneiro, F. M. Moreira, P. Costa, 2019, Anais da Academia Brasileira de Ciencias.

Soil parent material prediction for Brazil via proximal soil sensing

N. Curi, L. Guilherme, A. F. S. Teixeira, 2020 .

Soil parent material spatial modeling at high resolution from proximal sensing and machine learning: A pilot study

D. Weindorf, N. Curi, M. D. Menezes, 2023, Journal of South American Earth Sciences.

Different Quartz Varieties Characterized by Proximal Sensing and Their Relation to Soil Attributes

Thaís Santos Branco Dijair, N. Curi, L. Guilherme, 2023, Minerals.

Advancing Leaf Nutritional Characterization of Blueberry Varieties Adapted to Warm Climates Enhanced by Proximal Sensing

A. F. S. Teixeira, Renata Andrade, S.H.G. Silva, 2024, AgriEngineering.