Consulta: creatorFacets:"Johann,Jerry A."
Registros recuperados: 22
Data/hora: 16/06/2024 09:38:18

Variabilidade espacial da rentabilidade, perdas na colheita e produtividade do feijoeiro
Provedor de dados: 70
Autores: Johann,Jerry A.; Silva,Maria C. A.; Uribe-Opazo,Miguel A.; Dalposso,Gustavo H.
O feijoeiro comum é cultivado em todas as regiões do País e apresenta grande importância econômica e social. É uma cultura de subsistência em pequenas propriedades, porém apresenta alguns problemas que influenciam em sua comercialização, como oscilação de preço pago ao produtor. Os métodos de colheita são diversos e, atualmente, o mais utilizado no Brasil é a colheita semimecanizada. Com o objetivo de avaliar a produtividade, rentabilidade, perdas manual e mecânica na colheita da cultivar de feijão Juriti, realizou-se o levantamento de dados georreferenciados em uma área de 10,45 ha, com o auxílio de uma grade de amostragem regular de 50 x 50 m. Para estudar a variabilidade espacial, foram utilizadas técnicas geoestatísticas, que geraram mapas temáticos...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Dados georreferenciados; Feijão Juriti; Geoestatística.
Ano: 2010
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162010000400014

Uso de imagens do sensor orbital modis na estimação de datas do ciclo de desenvolvimento da cultura da soja para o estado do Paraná – Brasil
Provedor de dados: 70
Autores: Johann,Jerry A.; Becker,Willyan R.; Uribe-Opazo,Miguel A.; Mercante,Erivelto.
RESUMO O Estado do Paraná caracteriza-se por uma grande variabilidade de épocas de semeadura (DS) e, consequentemente, pelo desenvolvimento máximo vegetativo (DMDV), colheita (DC) e ciclo (CI) para a cultura da soja. O objetivo deste trabalho foi estimar essas datas para o período de primavera-verão do ano-safra de 2011/2012, por meio de séries temporais de imagens do Índice de Vegetação Realçado (do inglês Enhanced Vegetation Index - EVI) do sensor Modis (Moderate Resolution Imaging Spectroradiometer). Gerou-se um perfil espectrotemporal médio de EVI, considerando todos os pixels mapeados como soja dentro de cada município. Estes dados serviram de entrada no software Timesat para estimar os decêndios do ciclo da cultura (DS, DMDV, DC e CI) por municípios....
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Ciclo fenológico; Índice de vegetação; EVI; Timesat.
Ano: 2016
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162016000100126

ANALYSIS OF SPATIAL AUTOCORRELATION OF GRAIN PRODUCTION AND AGRICULTURAL STORAGE IN PARANÁ
Provedor de dados: 70
Autores: Cima,Elizabeth G.; Uribe-Opazo,Miguel A.; Johann,Jerry A.; Rocha Jr.,Weimar F. da; Dalposso,Gustavo H.
ABSTRACT This work aimed to study the spatial autocorrelation of the total static capacity storage, the total number of warehouses in 2013/2014 (CONAB) and the average of the total grain production (soybean, corn 1st and 2nd crops and wheat) in the harvest years 2008/2009 to 2013/2014 (SEAB) in Paraná State, Brazil. The study was based on Moran's global autocorrelation index, Moran's local and Moran's bivariate correlation. It was possible to identify regions with low and high total grain production. There was positive spatial autocorrelation for the Total Static Storage Capacity (TSSC) and Total Quantity of Warehouses (TQW). For the total grain production, significant spatial autocorrelation were found. The total static storage capacity showed similarity...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Static capacity; Logistics; Corn; Soybean; Wheat and total warehouses.
Ano: 2018
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162018000300395

DATA MINING FOR THE ASSESSMENT OF MANAGEMENT AREAS IN PRECISION AGRICULTURE
Provedor de dados: 70
Autores: Schemberger,Elder E.; Fontana,Fabiane S.; Johann,Jerry A.; Souza,Eduardo G. De.
ABSTRACT Precision Agriculture (PA) uses technologies with the aim of increasing productivity and reducing the environmental impact by means of site-specific application of agricultural inputs. In order to make it economically feasible, it is essential to improve the current methodologies as well as proposing new ones, in which data regarding productivity, soil, and compound indicators are used to determine Management Areas (MAs). These units are heterogeneous areas within the same region. With these methodologies, data mining (DM) techniques and algorithms may be used. In order to integrate DM techniques to PA, the aim of this study was to associate MAs created for soy productivity using the Fuzzy C-means algorithm by SDUM software over a 9.9-ha plot as...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Algorithms; EM; KDD; K-means; Weka.
Ano: 2017
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162017000100185

Comparison measures of maps generated by geostatistical methods
Provedor de dados: 70
Autores: Dalposso,Gustavo H.; Uribe-Opazo,Miguel A.; Mercante,Erivelto; Johann,Jerry A.; Borssoi,Joelmir A.
This study uses several measures derived from the error matrix for comparing two thematic maps generated with the same sample set. The reference map was generated with all the sample elements and the map set as the model was generated without the two points detected as influential by the analysis of local influence diagnostics. The data analyzed refer to the wheat productivity in an agricultural area of 13.55 ha considering a sampling grid of 50 x 50 m comprising 50 georeferenced sample elements. The comparison measures derived from the error matrix indicated that despite some similarity on the maps, they are different. The difference between the estimated production by the reference map and the actual production was of 350 kilograms. The same difference...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Error matrix; Confusion matrix; Local influence.
Ano: 2012
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162012000100018

GAUSSIAN SPATIAL LINEAR MODEL OF SOYBEAN YIELD USING BOOTSTRAP METHODS
Provedor de dados: 70
Autores: Dalposso,Gustavo H.; Uribe-Opazo,Miguel A.; Johann,Jerry A.; Galea,Manuel; Bastiani,Fernanda De.
ABSTRACT This study aims to quantify the uncertainties associated to the parameters of a Gaussian spatial linear model (GSLM) and the assumption of normality residuals in the modeling of the spatial dependence of the soybean yield as a function of soil chemical attributes. The spatial bootstrap methods were used to determine the point and interval estimators associated with the model parameters. Hypothesis tests were carried out on the significance of the model parameters and the quantile-quantile probability plot was elaborated to verify the data normality. The uncertainties associated to the parameters of the spatial dependence structure were quantified and the potassium content, phosphorus content and soil pH covariates were significant to explain the...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Geostatistics; Spatial resampling; Spatial variability.
Ano: 2018
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162018000100110

SPATIAL VARIABILITY OF THE WATER DEPTH APPLIED BY FIXED SPRINKLER IRRIGATION SYSTEMS
Provedor de dados: 70
Autores: Tamagi,Jorge T.; Uribe-Opazo,Miguel A.; Vilas Boas,Marcio A.; Johann,Jerry A.; Guedes,Luciana P. C.
Abstract The uniformity of water application is an important factor in the evaluation of sprinkler irrigation systems. This uniformity depends on the type of sprinkler and its operating conditions, such as the arrangement and spacing between the sprinklers in the area; velocity and wind direction during the period of water application and the pressure variation of the irrigation system. The objective of this study was to model, analyze and compare the structure of spatial dependence, as well as the spatial variability of the water depths applied by a sprinkler irrigation system with compensating and non-compensating sprinklers, using geostatistical methods and measurements of accuracy or similarity between the applied water depth maps. The experiment was...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Compensating sprinklers; Noncompensating sprinklers; Spatial dependence.
Ano: 2018
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162018000200188

EFFECT OF HEIGHT, TILT AND TWIST ANGLES OF AN ACTIVE REFLECTANCE SENSOR ON NDVI MEASUREMENTS
Provedor de dados: 70
Autores: Stocker,Vinícius; Souza,Eduardo G. de; Johann,Jerry A.; Beneduzzi,Humberto M.; Silva,Franciléia de O. e.
ABSTRACT The application of nitrogen (N) fertilizer is complex and expensive, so its correct management has financial and environmental benefits. The use of optical proximity sensors is a promising technique. However, the movement of the agricultural machinery or of the person carrying the sensor will result in height differences and/or different tilt and twist angles with respect to the canopy. We considered whether these variations would affect the reflectance measurement. In this study, we took normalized difference vegetation index (NDVI) readings of a wheat canopy, to which 90 kg ha-1 of urea had been applied in stage 5, and observed the NDVI in stages 6, 8 and 10.5. We also tested soybeans, to which 90 kg ha-1 of urea had been applied in stage R1,...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Nitrogen fertilization; Precision agriculture; GreenSeeker; NDVI.
Ano: 2019
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162019000800096

Spatial statistics applied to soybean production data from Paraná State for 2003-04 to 2009-10 crop-years
Provedor de dados: 70
Autores: Prudente,Victor H. R.; Souza,Carlos H. W. de; Mercante,Erivelto; Johann,Jerry A.; Uribe-Opazo,Miguel A.
In the current study, we performed a soybean production spatial distribution analysis in Paraná State. Seven crop-year data, from 2003-04 to 2009-10, obtained from the Paraná Department of Agriculture and Supply (SEAB) were used to develop a Boxmap for each crop-year, show soybean production throughout this time interval. Moran's index was used to measure spatial autocorrelation among municipalities at an aggregate level, while LISA index local correlation. For each index, different contiguity matrix and order were used and there was a significance level study. As a result, we have showed spatial relationship among cities regarding the production, which allowed the indication of high and low production clusters. Finally, identifying main soybean-producing...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Spatial correlation; Moran's Index; LISA index.
Ano: 2014
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162014000400015

Use of data mining and spectral profiles to differentiate condition after harvest of coffee plants
Provedor de dados: 70
Autores: Lamparelli,Rubens A. C.; Johann,Jerry A.; Santos,Éder R. dos; Esquerdo,Julio C. D. M.; Rocha,Jansle V.
This study aimed at identifying different conditions of coffee plants after harvesting period, using data mining and spectral behavior profiles from Hyperion/EO1 sensor. The Hyperion image, with spatial resolution of 30 m, was acquired in August 28th, 2008, at the end of the coffee harvest season in the studied area. For pre-processing imaging, atmospheric and signal/noise effect corrections were carried out using Flaash and MNF (Minimum Noise Fraction Transform) algorithms, respectively. Spectral behavior profiles (38) of different coffee varieties were generated from 150 Hyperion bands. The spectral behavior profiles were analyzed by Expectation-Maximization (EM) algorithm considering 2; 3; 4 and 5 clusters. T-test with 5% of significance was used to...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Crop monitoring; Spectral behavior; Management; Orbital remote sensing.
Ano: 2012
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162012000100019

SPATIAL CORRELATION OF SOYBEAN PRODUCTIVITY, ENHANCED VEGETATION INDEX (EVI) AND AGROMETEOROLOGICAL VARIABLES
Provedor de dados: 70
Autores: Grzegozewski,Denise M.; Uribe-Opazo,Miguel A.; Johann,Jerry A.; Guedes,Luciana P. C.
ABSTRACT The survey information from growing regions, the interaction with the vegetation index and climatic variables is of great importance in the search for soybean productivity increase. Paraná is the second largest soybean producer in Brazil and presents great spatial variability, both in periods of the crop cycle as in soil and climate. The objective of this study was to analyze the spatial correlation of soybean productivity, the enhanced vegetation index (EVI) and agrometeorological variables (water balance, global radiation and average temperature) in the state of Paraná, on a decendial scale, using the Moran global autocorrelation index between the 2010/2011 and 2012/2013 crop years. Similarity was found in the average productivities in 2010/2011...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Culture cycle; Spatial statistics of areas; Climatic variability.
Ano: 2017
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162017000300541

Data mining techniques for identification of spectrally homogeneous areas using NDVI temporal profiles of soybean crop
Provedor de dados: 70
Autores: Johann,Jerry A.; Rocha,Jansle V.; Oliveira,Stanley R. de M.; Rodrigues,Luiz H. A.; Lamparelli,Rubens A. C.
The aim of this study was to group temporal profiles of 10-day composites NDVI product by similarity, which was obtained by the SPOT Vegetation sensor, for municipalities with high soybean production in the state of Paraná, Brazil, in the 2005/2006 cropping season. Data mining is a valuable tool that allows extracting knowledge from a database, identifying valid, new, potentially useful and understandable patterns. Therefore, it was used the methods for clusters generation by means of the algorithms K-Means, MAXVER and DBSCAN, implemented in the WEKA software package. Clusters were created based on the average temporal profiles of NDVI of the 277 municipalities with high soybean production in the state and the best results were found with the K-Means...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Annual crop; MODIS; SPOT Vegetation; MAXVER; K-Means.
Ano: 2013
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162013000300008

Análise de agrupamento da variabilidade espacial da produtividade da soja e variáveis agrometeorológicas na região oeste do Paraná
Provedor de dados: 70
Autores: Araújo,Everton C. de; Uribe-Opazo,Miguel A.; Johann,Jerry A.
O presente trabalho realizou uma análise de agrupamentos espacial por meio da estatística multivariada, no intuito de investigar a relação entre a produtividade da soja e as seguintes variáveis agrometeorológicas: precipitação pluvial, temperatura média do ar, radiação solar global e índice local de Moran (LISA) da produtividade. O estudo foi realizado com os dados das safras dos anos agrícolas de 2000/2001 a 2007/2008 da região oeste do Estado do Paraná. A identificação do número adequado de clusters para cada ano-safra foi obtida utilizando a minimização de desvios. O estudo mostrou a formação de grupos de municípios utilizando as similaridades das variáveis em análise. A análise de agrupamento foi um instrumento útil para melhor gestão das atividades de...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Estatística espacial de área; Similaridade espacial; Estatística multivariada.
Ano: 2013
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162013000400018

GRAIN STORAGE SYSTEM IN THE STATE OF PARANÁ, BRAZIL, FROM THE PERSPECTIVE OF MULTIVARIATE ANALYSIS
Provedor de dados: 70
Autores: Cima,Elizabeth G.; Uribe-Opazo,Miguel A.; Guedes,Luciana P. C.; Rocha Junior,Weimar F. da; Johann,Jerry A.
ABSTRACT This study aimed to identify whether there is an association between types of storage and categories of commercialization and use of grains, group the types of storage with the categories of commercialization, and group static and dynamic capacities of the units in the state of Paraná, Brazil. The data were obtained from the Brazilian Registry System of Storage Units for the 2014/2015 season. The association between variables under study was carried out with the chi-square test of independence and correspondence analysis. The cluster analysis consisted of the unweighted pair group method with arithmetic mean and considered a measure of mixed dissimilarity obtained for sets composed of qualitative and quantitative variables. A significant...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Agribusiness; Association; Cophenetic correlation coefficient; Category of storage capacity; Clustering; Dissimilarity measures.
Ano: 2020
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162020000300280

DATA MINING TECHNIQUES FOR SEPARATION OF SUMMER CROP BASED ON SATELLITE IMAGES
Provedor de dados: 70
Autores: Becker,Willyan R.; Johann,Jerry A.; Richetti,Jonathan; Silva,Laíza C. DE A.
ABSTRACT: Due to the difficulty in discriminating soybean and corn in mappings obtained by the time series of satellite images, this study aimed to apply the data mining techniques to separate soybean and corn. Pure pixels selection from Landsat-8 were extracted and used to build a standard spectro-temporal EVI profile for both crops. These profiles were obtained with the Timesat software and, further incorporated in the Weka software. Five out of eleven variables of the standard spectro-temporal EVI profile for each crop were found through the decision tree, a data mining technique. These five variables were sufficient to achieve the separation of soybean and corn crops with an accuracy of 96.3% and a kappa index of 0.92.
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Corn; EVI; J48; Soybean; Weka.
Ano: 2017
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162017000400750

IDENTIFICATION OF HOMOGENEOUS RAINFALL ZONES DURING GRAIN CROPS IN PARANÁ, BRAZIL
Provedor de dados: 70
Autores: Lopes,Allan R.; Marcolin,Jonatas; Johann,Jerry A.; Boas,Márcio A. Vilas; Schuelter,Adilson R.
ABSTRACT The aim of this study is to identify homogeneous rainfall zones in the winter and summer 1st and 2nd crops, in the state of Paraná, Brazil. The zones were defined by clustering using the expectation-maximization (EM) algorithm to transform seasonal rainfall series. Monthly average rainfall data collected from 157 weather stations for 20 years (1996 to 2015) were employed. The results show that the number of homogeneous zones varied among growing seasons. The summer crop presented two clusters, with rainfall averages of 1489 and 1925 mm; the second crop presented four clusters, with averages of 1849, 1004, 1454, and 1182 mm; and the winter crop had three clusters, with averages of 969, 1498, and 1171 mm. Clustering was a useful instrument to...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Data mining; Clusters; Expectation-maximization; Weka; Soybean; Maize; Wheat.
Ano: 2019
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162019000600707

GEOSTATISTICAL MODELING OF SOYBEAN YIELD AND SOIL CHEMICAL ATTRIBUTES USING SPATIAL BOOTSTRAP
Provedor de dados: 70
Autores: Dalposso,Gustavo H.; Uribe-Opazo,Miguel A.; Johann,Jerry A.; Bastiani,Fernanda De; Galea,Manuel.
ABSTRACT The goal of this study was to use the spatial bootstrap method to model the spatial dependence structure of soybean yield and soil chemical attributes in an agricultural area. The study involved developing confidence intervals in probability plots to determine the probability distributions assumed by the data; determine the empirical distributions of the semivariances and model parameters, allowing to obtain statistics and confidence intervals; and to construct maps for the variables. The quantile-quantile plots indicated that the data follows a normal distribution. The confidence intervals for the semivariances helped to model the spatial dependence structure, and the descriptive statistics of the bootstrap replicates of the model parameters...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Confidence intervals; Quantile-quantile plot; Resampling; Spatial dependence.
Ano: 2019
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162019000300350

COMPARATIVE ASSESSMENT BETWEEN PER-PIXEL AND OBJECT-ORIENTED FOR MAPPING LAND COVER AND USE
Provedor de dados: 70
Autores: Prudente,Victor H. R.; Silva,Bruno B. da; Johann,Jerry A.; Mercante,Erivelto; Oldoni,Lucas V.
ABSTRACT: The traditional per-pixel classification methods consider only spectral information, and may be limited. Object-based classifiers, however, also consider shape and texture, firstly segmenting the image, and then classifying individual objects. Thus, a Geographic Object-Based Image Analysis (GEOBIA) was compared in conjunction with data mining techniques and a traditional per-pixel method. A cut of Landsat-8, bands 2 to 7, orbit/point 223/77, located between the municipalities of Cascavel, Corbélia, Cafelândia and Tupãssi, in the west part of the state of Paraná, from 12/18/2013 was used. In the GEOBIA approach was realized image segmentation, spatial and spectral attribute extraction, and classification using the decision tree supervised...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: GeoDMA; Data mining; Decision tree.
Ano: 2017
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162017000501015

Variabilidade espacial dos atributos físicos do solo e da produtividade em um Latossolo Bruno distrófico da região de Cascavel, PR
Provedor de dados: 91
Autores: Johann,Jerry A.; Opazo,Miguel A. U.; Souza,Eduardo G. de; Rocha,Jansle V.
Através de técnicas de geoestatística foram confeccionados mapas de contorno, produzidos por interpolação através da krigagem ordinária representando, desta forma, a variabilidade espacial dos atributos físicos densidade do solo [kg dm-3], teor de água do solo [g g-1] e resistência mecânica a penetração [MPa] nas camadas de 0-10,10-20 e 20-30 cm de profundidade, além da produtividade de soja [t ha-1]. Os atributos do solo e a produtividade se derivaram de um plano de amostragem estratificada sistemática desalinhada, do ano agrícola 1998/99, subdividido em parcelas sem manejo localizado (SML) e parcelas com manejo localizado (CML). De maneira geral, os mapas de produtividade apresentaram um padrão de variabilidade semelhante quanto à distribuição na área...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Agricultura de precisão; Geoestatística; Soja.
Ano: 2004
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662004000200008

Mapping of sugarcane crop area in the Paraná State using Landsat/TM/OLI and IRS/LISS-3 images
Provedor de dados: 91
Autores: Cechim Junior,Clóvis; Johann,Jerry A.; Antunes,João F. G.
ABSTRACT The knowledge on reliable estimates of areas under sugarcane cultivation is essential for the Brazilian agribusiness, since it helps in the development of public policies, in determining prices by sugar mills to producers and allows establishing the logistics of production disposal. The objective of this work was to develop a methodology for mapping the sugarcane crop area in the state of Paraná, Brazil, using images from the Landsat/TM/OLI and IRS/LISS-3 satellites, for the crop years from 2010/2011 to 2013/2014. The mappings were conducted through the supervised Maximum likelihood classification (Maxver) achieving, on average, an overall accuracy of 94.13% and kappa index of 0.82. The correlation with the official data of the IBGE ranged from...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Remote sensing; Digital image processing; Supervised classification; Maxver; Agricultural statistic.
Ano: 2017
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662017000600427

Annual cropland mapping using data mining and OLI Landsat-8
Provedor de dados: 91
Autores: Oldoni,Lucas V.; Cattani,Carlos E. V.; Mercante,Erivelto; Johann,Jerry A.; Antunes,João F. G.; Almeida,Luiz.
ABSTRACT In the state of Paraná, Brazil, there are no major changes in areas cultivated with annual crops, mainly due to environmental laws that do not allow expansions to new areas. There is a great contribution of the annual crops to the domestic demand of food and economic demand in the exports. Thus, the area and distribution of annual crops are information of great importance. New methodologies, such as data mining, are being tested with the objective of analyzing and improving their potential use for classification of land use and land cover. This study used the classifiers decision tree and random forest with Normalized Difference Vegetation Index (NDVI) temporal metrics on images from Operational Land Imager (OLI)/Landsat-8. The results were...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Decision tree; Random forest; NDVI temporal metrics.
Ano: 2019
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662019001200952

Spectral-temporal characterization of wheat cultivars through NDVI obtained by terrestrial sensors
Provedor de dados: 91
Autores: Cattani,Carlos E. V.; Garcia,Murilo R.; Mercante,Erivelto; Johann,Jerry A.; Correa,Marcus M.; Oldoni,Lucas V.
ABSTRACT Remote sensing applications in agriculture are presented as a very promising reality, but research is still needed for the correct use of spectral data. The objective of this study was to evaluate the spectral-temporal patterns of eleven wheat cultivars (Triticum aestivum L.). The experiment was conducted in Cascavel, PR, in the year 2014. With the help of the GreenSeeker and FieldSpec 4 terrestrial sensors, spectral signatures were determined and the temporal profiles of the Normalized Difference Vegetation Index (NDVI) were created. Statistical differences between wheat cultivars were analysed using analysis of variance (ANOVA) and Scott-Knott test. Grain yields obtained with INSEY (In-Season Estimate of Yield) factors were correlated. NDVI...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Vegetation index; Remote sensing; Growth stage.
Ano: 2017
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662017001100769