Tiago Rodrigues Tavares

Tiago Rodrigues Tavares
University of São Paulo | USP · Center of Nuclear Energy in Agriculture (CENA)

Doctor of Philosophy
Posdoc at the Lab of Nuclear Instrumentation from the Center of Nuclear Energy in Agriculture (CENA - USP)

About

48
Publications
12,215
Reads
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244
Citations
Citations since 2017
36 Research Items
237 Citations
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2017201820192020202120222023020406080
2017201820192020202120222023020406080
2017201820192020202120222023020406080
Introduction
I'm an agronomist (by Federal University of Goiás - Brazil) with PhD in Biosystems Engineering (by University of São Paulo - Brazil). Currently, I'm helding a Post-Doc position at the Center for Nuclear Energy in Agriculture (CENA-USP), funded by FAPESP. I am particularly interested in developing technologies to intensify the monitoring of agricultural systems for optimizing agricultural management through conservationist practices.
Additional affiliations
August 2019 - May 2020
Ghent University
Position
  • Guest student
Description
  • Guest student associated with the Precision SCORing group, as part of my Ph.D. project, under the supervision of Prof. Abdul Mouazen, and financed by the São Paulo Research Foundation
February 2017 - October 2017
University of São Paulo
Position
  • PhD Student
March 2015 - December 2016
Faculdade de Tecnologia do Estado de São Paulo (FATEC-SP)
Position
  • Professor (Assistant)
Description
  • Professor da disciplina de Geoprocessamento para o curso de Silvicultura
Education
August 2015 - December 2017
University of São Paulo
Field of study
  • Agricultural Systems Engineering

Publications

Publications (48)
Article
Full-text available
The Araripe Basin is the largest sedimentary basin in the countryside of Northeast Brazil. Despite the wide diversity of lithostratigraphic, geomorphological, and paleontological studies, little is known about the pedogen-esis and weathering. This study aimed to characterize the morphological, physical and chemical attributes, and the spectral beha...
Article
The purpose of this research was to evaluate performance of an energy-dispersive X-ray fluorescence (XRF) sensor to classify soybean based on protein content. The hypothesis was that sulfur signals and other XRF spectral features can be used as proxies to infer soybean protein content. Sample preparation and equipment settings to optimize detection...
Article
Full-text available
Precision agriculture (PA) stands out as an innovative way to manage production resources, increasing the efficiency and the socioeconomic and environmental sustainability of agricultural systems. In Brazil, the principles and tools of PA started to be adopted in the late 1990s. To reveal the scientific trajectory and advances in PA taken over the...
Preprint
Full-text available
Background and Aims Soybean ( Glycine max (L.) Merrill) stands out as the major source of protein and oil for human and animal nutrition. Nevertheless, the increase in soybean yield has been accompanied by a reduction in its protein content in the last few decades. Since this might be influenced by the elemental composition of the seeds, we herein...
Article
Full-text available
To obtain a better performance when modeling soil spectral data for attribute prediction, researchers frequently resort to data pretreatment, aiming to reduce noise and highlight the spectral features. Even with the awareness of the existence of dimensionality reduction statistical approaches that can cope with data sparse dimensionality, few studi...
Article
Full-text available
Monitoring the spatial variability of agricultural variables is a main step in implementing precision agriculture practices. Active optical sensors (AOS), with their instrumentation directly on agricultural machines, are suitable and make it possible to obtain high-frequency data. This study aimed to evaluate the potential of AOS to map the spatial...
Article
Full-text available
Este trabalho avaliou o desempenho da estimativa da altura de Eucalyptus utilizando imagens aéreas obtidas com aeronave remotamente pilotada (RPA). A área de estudo faz parte da rede experimental do Programa Cooperativo sobre Tolerância de Eucalyptus Clonais aos Estresses Hídrico Térmico e Biótico (TECHS-IPEF). Foram realizadas quatro coletas de im...
Article
Full-text available
The Global Soil Partnership with the Food and Agriculture Organization of the United Nations (FAO) defines Chernozem, Kastanozem, and Phaeozems as black soils characterized by high natural fertility and dark surface horizons enriched in organic matter. Chernozems and Kastanozems are also characterized by carbonate accumulation. In the Araripe basin...
Article
Full-text available
Proximal soil sensing technologies, such as visible and near infrared diffuse reflectance spectroscopy (VNIR), X-ray fluorescence spectroscopy (XRF), and laser-induced breakdown spectroscopy (LIBS), are dry-chemistry techniques that enable rapid and environmentally friendly soil fertility analyses. The application of XRF and LIBS sensors in an indi...
Article
Full-text available
Mapping soil fertility attributes at fine spatial resolution is crucial for site-specific management in precision agriculture. This paper evaluated the performance of mobile measurements using visible and near-infrared spectroscopy (vis–NIR) to predict and map key fertility attributes in tropical soils through local data modeling with partial least...
Article
Full-text available
Soils (Leptosols or Epileptic Regosols) with lithic contact at a depth of 50 cm occupy almost 20% of the Brazilian semi-arid region. These lithic soils are susceptible to erosion due to faster saturation of water-holding capacity during rainfall, which accelerates the beginning of runoff. However, erosion traits of lithic soils in the semi-arid reg...
Article
The Laser Induced Breakdown Spectroscopy (LIBS) is a promising technique for soil fertility analysis in a rapid and environmentally friendly way. This application requires the selection of an optimal modelling procedure capable of handling the high spectral resolution of LIBS. This work aimed at comparing different modelling methods of LIBS data fo...
Article
The southwestern region of the Amazon has great environmental variability, presents a great complexity of pedoenvironments due to its rich variability of geological and geomorphological environments, as well as for being a transition region with other two Brazilian biomes. In this study, the use of pedometric tools (the Algorithms for Quantitative...
Chapter
SUMÁRIO -Introdução; -Fundamentos de técnicas de sensoriamento próximo aplicadas ao solo; -Espectroscopia de reflectância do visível ao infravermelho; -Fluorescência de raios X; -Espectroscopia de emissão óptica com plasma induzido por laser; -Gamaespectrometria; -Radar de penetração do solo; -Suscetibilidade magnética; -Condutividade elétrica apa...
Article
Identifying gaps within sugarcane rows is an effective strategy to optimise inputs using site-specific approaches. This work aimed to compare four different sensor-based techniques to identify and measure sugarcane gaps.Specifically, it was analysed three strategies with sensors (vegetative index, ultrasonic, photoelectric) mounted on a tractor, an...
Thesis
Full-text available
Visible and near infrared diffuse reflectance spectroscopy (VNIR), X-ray fluorescence spectroscopy (XRF), and laser-induced breakdown spectroscopy (LIBS), are promising techniques for rapid and environmentally-friendly soil fertility characterisation. Integrating these sensing tools with the already established analytical methods can enable advance...
Article
Full-text available
Rapid, cost-effective, and environmentally friendly analysis of key soil fertility attributes requires an ideal combination of sensors. The individual and combined performance of visible and near infrared (VNIR) diffuse reflectance spectroscopy, X-ray fluorescence spectroscopy (XRF), and laser-induced breakdown spectroscopy (LIBS) was assessed for...
Article
Full-text available
Visible and near infrared (vis-NIR) diffuse reflectance and X-ray fluorescence (XRF) sensors are promising proximal soil sensing (PSS) tools for predicting soil key fertility attributes. This work aimed at assessing the performance of the individual and combined use of vis-NIR and XRF sensors to predict clay, organic matter (OM), cation exchange ca...
Article
Full-text available
The matrix effect is one of the challenges to be overcome for a successful analysis of soil samples using X-ray fluorescence (XRF) sensors. This work aimed at evaluation of a simple modeling approach consisted of Compton normalization (CN) and multivariate regressions (e.g., multiple linear regressions (MLR) and partial least squares regression (PL...
Article
Full-text available
The successful use of energy-dispersive X-ray fluorescence (ED-XRF) sensors for soil analysis requires the selection of an optimal procedure of data acquisition and a simple modelling approach. This work aimed at assessing the performance of a portable XRF (XRF) sensor set up with two different X-ray tube configurations (combinations of voltage and...
Article
Full-text available
Vis-NIR-SWIR reflectance spectra of leaf samples, collected in the laboratory, allow the calibration of predictive models to quantify their physicochemical attributes in a practical manner and without producing chemical residues. This technique should enable the development of management strategies for intensification of pasture use. However, spect...
Article
Full-text available
Portable X-ray fluorescence (pXRF) sensors allow one to collect digital data in a practical and environmentally friendly way, as a complementary method to traditional laboratory analyses. This work aimed to assess the performance of a pXRF sensor to predict exchangeable nutrients in soil samples by using two contrasting strategies of sample prepara...
Article
Full-text available
Soil fertility attributes have different scales and forms of spatial and temporal variations in agricultural fields. Adequate spatiotemporal characterization of these attributes is fundamental to the successful development of strategies for variable rate application of fertilizers, enabling the classic benefits of precision agriculture (PA). Studie...
Poster
Full-text available
Elemental analysis techniques, such as X-ray fluorescence (XRF), are compatible with direct analysis of soils, allowing to collect digital data in a practical way and without the generation of chemical waste. Assessing the analytical performance of these techniques in function of different strategies of samples preparation is fundamental for the de...
Conference Paper
Full-text available
Laser sensors based on LiDAR (Light Detection and Ranging) technology and aerial images acquired by remotely piloted aircraft (RPA) are remote sensing techniques applicable to the agricultural production environment for identification of spatial variability of crops. The objective is to employ such techniques in sugarcane to detect the canopy plant...
Conference Paper
Full-text available
Soil sensing techniques allow obtaining data in high spatial density and can aid the traditional techniques of soil mapping for a reliable characterization of soil attributes. Currently, among the sensing techniques, the apparent electrical conductivity (ECa) and the imaging using orbital sensor systems are highlighted. These techniques can work in...
Conference Paper
Full-text available
Vis-NIR reflectance spectroscopy is one of the techniques used for soil sensing and has been outstanding for the prediction of its clay and organic matter (OM) contents. The technological advance has allowed the development of spectroradiometers of reduced size and more affordable prices. So, the present work sought to evaluate the potential of a p...
Conference Paper
Full-text available
Sphenophorus levis is one of the main soil pests of sugarcane. The diagnosis is performed by sampling the whole field, in a fixed density. Its distribution does not occur in a random manner, being influenced by the physical-chemical properties of the soil. The objective of this work was to explore the relationships between the spatial distribution...
Conference Paper
Full-text available
Electrochemical sensors present potential for determining the pH and some available nutrients in soils. However, national studies have suggested that additionally the interest element concentration, moisture has also an effect on the sensor outputs from samples of tropical soils. The objective of this work was to evaluate the influence of soil mois...
Conference Paper
Full-text available
Outliers present in the dataset is harmful to the information quality contained in the map and may lead to wrong interpretations, even if the number of outliers to the total data collected is small. Thus, before any analysis, it is extremely important to remove these errors. This work proposes a sequential process model capable of identifying outli...
Conference Paper
Full-text available
The occurrence and number of herbicide-resistant weeds in the world has increased in recent years. Controlling these weeds becomes more difficult and raises production costs. Precision spraying technologies have been developed to overcome this challenge. However, these systems still have relatively high acquisition cost, requiring studies of the re...
Conference Paper
Full-text available
Sample density for mapping the spatial variability of soil attributes is limited due to the costs of laboratory analysis and the operational feasibility of the method. Furthermore, researches using geostatistical analyzes usually demonstrate that the density employed is not sufficient to characterize the spatial distribution of most soil chemical a...
Conference Paper
The management of soil micro-relief on agricultural areas can cause damages to the availability of organic matter and, consequently, to the yield of crops to be implanted, if not carried out with the appropriate planning. However, the management of soil micro-relief can reduce erosive processes due to surface runnoff of water and allow a better soi...
Article
There are several methods to extract soil information by spectral sensing. For this reason, the database should be built including standards and protocols both in the lab and in field acquisitions. If we does not align the measurement one to each other, the models will have no merit in term of large-scale application and stay as an academic exercis...
Conference Paper
Full-text available
Para implementar a agricultura de precisão é requerido o conhecimento detalhado da distribuição espacial e temporal da variabilidade dos cultivos na lavoura. Este trabalho teve como analisar o efeito da sistematização sobre a produtividade e distribuição de unidades de gestão diferenciada em um campo cultivado com arroz (Oriza sativa) no Pacífico C...
Conference Paper
Full-text available
A produção de arroz em áreas de planície no pacífico central da Costa Rica é limitada pela ocorrência de leves ondulações presentes em seu microrrelevo que dificultam a irrigação por superfície. A principal forma de correção dessas irregularidades é por meio da sistematização do terreno, que baseia-se em cortes e aterros visando a adequação do terr...
Conference Paper
Full-text available
The Vis-NIR spectroscopy is a non-destructive, fast and low cost operating technique. The use of this approach to calibration models for predict soil attributes, such as macronutrient contents, has been suggested to increase the density of soil sampling points, without additional costs on chemical analysis in laboratory. Thus, the objective of this...
Conference Paper
Full-text available
Technological advances brings new alternatives for the monitoring of sugarcane areas, helping the data collection phase on field. One of the main tools emerging in the lasts years are the remotely piloted aircrafts able to carry low cost cameras. With image processing can be generated digital models of plant canopy, allowing the user to monitor and...
Article
Full-text available
Despite environmental damage of cow meet production residues, specific methods to evaluate its spatial impact on soil contamination are sparse and time consuming. This study aimed to evaluate the potential of spectroscopy (400–2500 nm) to detected soil contaminated with organic compounds. It was conducted two experiments: (1) Three soils were incub...
Conference Paper
Full-text available
Receptores GNSS tem grande importância no âmbito da agricultura de precisão, estando diretamente ligados ao estudo da variabilidade espacial das lavouras, normalmente relacionados à coleta de dados cinemáticos. Para análise do desempenho de receptores GNSS tem-se utilizado ensaios cinemáticos em que os receptores podem ser transportados sobre uma p...
Conference Paper
Full-text available
Oil palm crop has great economic importance in the agro-industrial sector of Costa Rica. In this type of perennial-extensive crops constant monitoring of the population is required, being the number of plants one of the major variables that should be controlled. Using aerial images captured by means of a system composed of a UAV platform (Unmanned...
Conference Paper
Full-text available
RESUMO Receptores GNSS tem grande importância no âmbito da agricultura de precisão, estando diretamente ligados ao estudo da variabilidade espacial das lavouras, normalmente relacionados à coleta de dados cinemáticos. Para análise do desempenho de receptores GNSS tem-se utilizado ensaios cinemáticos em que os receptores podem ser transportados sobr...
Conference Paper
Full-text available
RESUMO Ferramentas do sensoriamento remoto são alternativas promissoras para avaliação e monitoramento de culturas agrícolas. Sensores têm sido usados para estimar de forma indireta e indestrutível parâmetros biofísicos de diversas culturas. Índices de vegetação gerados a partir destes sensores já vem sendo utilizados para avaliar o conteúdo de nit...
Article
Full-text available
Given this atypical drought and the fragile native vegetation of Piracicaba-SP, this study compares the NDVI through Landsat 5 (TM) and Landsat 8 (OLI) images of different vegetation types in this city in the drought of 2011 and 2014. To characterize the drought we used data of the monthly precipitation time series from 1984 to 2014 recorded at the...
Conference Paper
Full-text available
The purpose of this article was test the applicability and acuity of the data that was collected by a conventional digital camera for development of growth condition of the plant of eucalyptus, on the " Fazenda Areão " – ESALQ/USP. In the last decades, the world production of Eucalyptus sp. has been growing, and the same happened with the Brazilian...
Article
Full-text available
Photoselective screens promote better solar radiation quality and attenuate the extreme climatic conditions allowing greater efficiency in the vegetables production in protected crops. In Brazil the sweet pepper is traditionally cultivated in field conditions, but recently there have been investments in screenhouses and greenhouses. This research e...
Conference Paper
Full-text available
Resumo – Pó de carvão e compostos são materiais utilizados por agricultores orgânicos de Goiás como substratos, apresentando limitações pelo alto valor do pH. A aplicação de enxofre vem sendo usada para a redução do pH em solos e recentemente em substratos. Este trabalho avaliou o efeito do enxofre elementar no pH e CE (condutividade elétrica) de c...

Questions

Questions (2)
Question
Soil scientist with experience in vis-NIR spectroscopy, what would be the loss of quality of texture and organic C models when using equipment with spectral resolution of 5, 10 and 20 nm in the NIR (from 1300 to 2500 nm)? Does anyone know of any scientific study that has tested equipment with different resolutions?
Question
Predictive models that use ordinary least squares (OLS) for parameter estimation must show residuals with normal distribution and constant variance (homoscedastic).
However, in most scientific articles (in engineering-related areas, at least) I don't see a concern with meeting these assumptions. In your opinion, why does this happen? In the end, the results do not change that much when we make the necessary transformations so that these assumptions are met?
If you have had any experience with this topic, please feel free to share.

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Projects

Projects (2)
Project
1 - To assess the temporal stability of XRF models for predicting fertility attributes, as well as the influence of the change in fertilization management on this temporal stability; 2 - To evaluate the ability of VNIR and XRF spectra associated with multivariate statistics to group samples with similar performance for predicting fertility attributes via XRF sensor; 3 - To evaluate the potential and applicability of data fusion techniques to exploit the synergy between VNIR and XRF sensors to improve the accuracy of soil fertility prediction.
Project
a) Establish and validate prediction models of soil fertility attributes using vis-NIR, XRF and LIBS data; b) Examine the relationship between total and available nutrients in agricultural soils; c) Evaluate the potential and applicability of data-fusion techniques to explore the synergism between elementary chemical analysis and visNIR sensors to improve the prediction accuracy of soil fertility attributes; d) Test the influence of soil sample preparation on the accuracy of the models, aiming at supporting future in situ applications of XRF;