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Recognition and classification of White Wholes (WW) grade cashew kernel using artificial neural networks Agronomy
Ganganagowdar, Narendra Veranagouda; Siddaramappa, Hareesha Katiganere.
 A novel intelligent automated model to recognize and classify a cashew kernels using Artificial Neural Network (ANN). The model primarily intends to work on two phases. The phase one, built with a proposed method to extract features, which includes 16 morphological features and also 24 color features from the input cashew kernel images. In phase two, a Multilayer Perceptron ANN is being used to recognize and classify the given white wholes grades using back propagation learning algorithm. The proposed method achieves a classification accuracy of 88.93%. This study also reveals that the combination of morphological and color features outperforms rather using any one set of features separately to grade cashew kernels. 
Tipo: Info:eu-repo/semantics/article Palavras-chave: Computer Science and Engineering; Computer Vision; Image Processing; Soft Computing White Wholes (WW) grade cashew kernel images; Feature extraction; Artificial neural networks; Classification.
Ano: 2016 URL: http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/27861
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Comparison of visible-near infrared and mid-infrared spectroscopy for classification of Huanglongbing and citrus canker infected leaves CIGR Journal
Sankaran, Sindhuja; Ehsani, Reza.
In this study, visible-near infrared spectroscopy and mid-infrared spectroscopy were compared to evaluate their applicability in classifying citrus leaves infected with canker and HLB from healthy citrus leaves.  The visible-near infrared spectra in the range 350-2,500 nm and mid-infrared spectra in the range of 5.15-10.72 µm were collected from healthy and diseased (canker, HLB) leaves.  Following the spectral data collection, the data were preprocessed and classification was performed using two classifiers, quadratic discriminant analysis (QDA) and k-nearest neighbor (kNN).  The classifiers (QDA, kNN) resulted in an average overall and individual class classification accuracy of about 90% or more.  Mid-infrared spectroscopy provided high classification...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Agricultural engineering Disease detection; Classification; Quadratic discriminant analysis; K-nearest neighbor; USA..
Ano: 2013 URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/2469
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Classification of papaya crispiness based on mechanical properties CIGR Journal
Terdwongworakul, Anupun.
This research investigated an objective technique for the classification of papaya varieties based on crispiness. Five varieties of papaya were sampled with variation in crispiness. The papaya samples were mechanically tested using texture profile analysis and rectangular blade cutting methods. Discriminant analysis based on the mechanical properties measured using rectangular blade cutting was performed to develop a classification model. The obtained discriminant model was capable of classifying the papaya samples into five different groups with an accuracy of 82.4%.
Tipo: Info:eu-repo/semantics/article Palavras-chave: Papaya; Classification; Mechanical properties.
Ano: 2016 URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/3472
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Comparative study of acoustic signals of rolling eggs on inclined plate and impulse response in eggshell crack detection CIGR Journal
Lashgari, Majid; Mohammadigol, Reza.
The potential of acoustic signals of rolling eggs on an inclined plate and impulse response for nondestructive detection of eggshell crack was investigated. Discrimination of hairline cracked and star cracked eggs from intact ones were carried out using artificial neural network. Ten features were used based on one-way ANOVA F-test statistics. According to the result, holdout detection accuracy of inclined plate and impulse response methods were 92.3% and 94.6%, respectively. The results indicated that these two methods were potentially useful for discrimination of eggs according to detection of different eggshell cracks.
Tipo: Info:eu-repo/semantics/article Palavras-chave: Eggshell crack; Inclined plate; Impulse response; Neural network; Classification.
Ano: 2018 URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/4140
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Nuevos aportes para la sistemática de los Glyptodontia Ameghino 1889 (Mammalia, Xenarthra, Cingulata) Ameghiniana
Fernicola,Juan Carlos.
En este trabajo se presenta una exhaustiva revisión de la sistemática de los gliptodontes, incluyendo las distintas clasificaciones e hipótesis filogenéticas propuestas desde el siglo XIX. De acuerdo a la clasificación vigente, formulada con carácter preliminar, se realizó un análisis cladístico, basado en 84 caracteres craneomandibulares, de los siguientes taxones: Glyptodontinae [Glyptodon], Doedicurinae [Doedicurus], Propalaehoplophorinae [Propalaehoplophorus y Eucinepeltus] y Hoplophorinae (=Sclerocalyptinae), Hoplophorini (=Sclerocalyptini) [Neosclerocalyptus (=Sclerocalyptus), Eosclerocalyptus y Hoplophractus] Plohophorini [Stromaphorus, Pseudoplohophorus y Plohophorus] Panochthini [Panochthus] y Lomaphorini [Urotherium]. Los resultados obtenidos...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Glyptodontia; Systematic; Phylogeny; Classification; Glyptodontia; Sistemática; Filogenia; Clasificación.
Ano: 2008 URL: http://www.scielo.org.ar/scielo.php?script=sci_arttext&pid=S0002-70142008000300004
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Evaluation of deciduous broadleaf forests mountain using satellite data using neural network method near Caspian Sea in North of Iran Anais da ABC (AABC)
HASHEMI,SEYED A..
ABSTRACT During the recent decades, deciduous forests have been molested by human intervention. Easy access, abundance and diversity of valuable forest products have led to increased population density, creating new residential areas and deforestation activities. Revealing changes is one of the fundamental methods in management and assessment of natural resources. This study is evaluated changes in forests area of 2013 using satellite images. In order to mapping the forest extent condition 2013, images of the mentioned years were digitized and geo-referenced by using the ground control points and the maps of mapping organization. After selecting the best set of band using the Bhattacharya distance index, the image classification was performed by using...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Satellite data; ETM+; Forest area; Classification.
Ano: 2016 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652016000602357
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Effect of grain maturity stage on the quality of sorghum BRS-610 silages Arq. Bras. Med. Vet. Zootec.
Faria Júnior,W.G; Gonçalves,L.C; Ribeiro Júnior,G.O; Carvalho,W.T.V; Maurício,R.M; Rodrigues,J.A.S; Faria,W.G; Saliba,E.O.S; Rodriguez,N.M; Borges,A.L.C.C.
The quality of sorghum BRS-610 silages in seven stages of grain maturity, between the milky and dry stage, for determination of the ideal moment of ensilage was evaluated. The silos were open after 56 days of fermentation. The values for dry matter of silages increased from 199 to 473g/kg or from 19.9 to 47.3%, with the advance of stage maturity of grains. As for the quality of fermentation, the silages may be classified as excellent quality in every stage of maturity. The lower values of neutral detergent fiber, 539g/kg or 53.9%, and acid detergent fiber, 307g/kg or 30.7%, were observed between the milky/dough to dough/dent stages. Regression analysis indicated an increase in values of lignin - 0.3 unit por stage - and reduction in values of in vitro dry...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Nutritive value; Classification; Digestibility; Harvest moment; Sorghum silage.
Ano: 2011 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-09352011000500024
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Coastal habitat mapping of Bahía Aguacate and bahía Cupica, northern Colombian Pacific coast Boletín de Investigaciones
Silvar,Paula; Giraldo,Alan.
ABSTRACT Colombian North Pacific region host a huge valuable ecosystem due to its particular conditions. Some of these sectors are isolated and pristine, with little research effort. When there is a limitation of economic resources, classification and basic mapping techniques of the intertidal and subtidal habitats allow the identification of distinct and representative areas of a region. Previous studies point out the zones of Cabo Marzo- Bahia Aguacate and Punta Cruces- Bahia Cupica as ecologically important areas, therefore the present study focus on habitat mapping these sites. To create the map, we develop a hierarchical classification of intertidal and subtidal habitats separately. In conclusion, Colombian North Pacific region is extremely...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Coastal habitats; Classification; Habitat mapping; Geographic information system; Conservation planning.
Ano: 2018 URL: http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0122-97612018000100009
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Clinical classification of tetanus patients BJMBR
Miranda-Filho,D.B.; Ximenes,R.A.A.; Barone,A.A.; Vaz,V.L.; Vieira,A.G.; Albuquerque,V.M.G..
The authors propose a clinical classification to monitor the evolution of tetanus patients, ranging from grade I to IV according to severity. It was applied on admission and repeated on alternate days up to the 10th day to patients aged > or = 12 years admitted to the State University Hospital, Recife, Brazil. Patients were also classified upon admission according to three prognostic indicators to determine if the proposed classification is in agreement with the traditionally used indicators. Upon admission, the distribution of the 64 patients among the different levels of the proposed classification was similar for the groups of better and worse prognosis according to the three indicators (P > 0.05), most of the patients belonging to grades I and...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Tetanus; Progression; Classification; Clinical.
Ano: 2006 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2006001000009
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Comparison and correlation analysis of flavonoids and chlorogenic acid contents in different strains of Acer truncatum Ciênc. Tecnol. Aliment.
REN,Hongjian; FENG,Zhen.
Abstract The morphological characteristics, total flavonoid content (TFC) and chlorogenic acid (CGA) contents of leaves from different strains of Acer truncatum were analyzed with the goal of providing guidance for the development and utilization of Acer truncatum leaves (ATLs) and a selection system for the medicinal cultivar of Acer truncatum species. The morphological characteristics of the ATLs were determined using conventional methods, and TFC and CGA were used to determine the ATL extract by UV spectrophotometry and HPLC. The results showed that most traits significantly differed among the ATL morphologies of different strains and that considerable variability was found between different strains in both TFC (15.04 to 35.18 mg/g) and CGA (0.17 to...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Acer truncatum leaves; Total flavonoids; Chlorogenic acid; Correlation; Classification; TOPSIS method.
Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612018000500319
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Impacto de la contaminación atmosférica en ecosistemas forestales suburbanos del Distrito Federal. Colegio de Postgraduados
Franco Islas, Ma. Guadalupe.
Las áreas forestales suburbanas del Distrito Federal han estado sujetas a estrés por contaminantes, ocasionando cambios en la composición y estructura de la vegetación. El objetivo de este estudio fue evaluar el Impacto de la contaminación atmosférica en la diversidad vegetal del área forestal suburbana del Distrito Federal. Se establecieron 62 sitos de 1000 m2 para el estrato arbóreo, dentro de cada uno se ubicaron dos subparcelas de 9 m2 para el estrato arbustivo y 3 subunidades de 1 m2 para el estrato herbáceo. Para la clasificación se utilizó el análisis de agrupamiento (CA) y para la ordenación se utilizó el análisis de correspondencia canónica (CCA), el atributo estructural estimado fue el valor de importancia relativa de las especies, se...
Palavras-chave: Ordenación; Clasificación; Número efectivo de especies; Diversidad β; Árboles de regresión; Bosques templados; Ordination; Classification; Effective species number; Regression trees; Β diversity; Temperate forests; Ciencias Forestales; Doctorado.
Ano: 2014 URL: http://hdl.handle.net/10521/2226
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Alcances y limitaciones de la información espectral multi-angular para la clasificación de la vegetación Colegio de Postgraduados
Cano González, Alejandro de Jesús.
El uso de información espectral multi-angular se ha justificado como una estrategia para aumentar la precisión de los sistemas de clasificación de cultivos y vegetación natural. En este trabajo se discuten los esquemas de caracterización de la información espectral multi-angular asociada a la vegetación, así como su uso en los sistemas de clasificación. Los resultados mostraron que, dejando fijo el fondo de la vegetación, es posible discriminar sistemas arbolados y, cuando el fondo de la vegetación varía, existe confusión con coberturas aéreas bajas. Por lo tanto, se planteo un segundo experimento, presentando un modelo de los efectos del ángulo cenital de visión e iluminación en las reflectancias bi-cónicas (Conical-Conical Reflectance Factor,...
Tipo: Tesis Palavras-chave: Clasificación; Información espectral muti-angular; Sensores remotos; CCRF; Doctorado; Hidrociencias; Classification; Multi angular spectral information; Remote sensing.
Ano: 2008 URL: http://hdl.handle.net/10521/1240
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Carbono de biomasa aérea, en suelo y su relación con la fracción fina de este reservorio Colegio de Postgraduados
Estrada Herrera, Isabel del Rayo.
Con el propósito de analizar el potencial de captura en la parte aérea del sistema MIAF (Milpa Intercalada con Árboles Frutales) y PAP (Parcelas de Alta Productividad), los suelos más representativos fueron investigados y clasificados de acuerdo con los sistemas Taxonomía de Suelos (Soil Survey Staff, 2003) y WRB (FAO-ISRIC-SICS, 1999); de acuerdo con el primer sistema, los suelos de las tres microcuencas se clasificaron como Inceptisoles; los de las microcuenca Mazateca y Mixe, fueron Humic Dystrudepts y el de la Cuicateca Typic Hapludepts. De acuerdo al segundo, los dos primeros resultaron ser Umbrisoles con propiedades ferrálicas y el de la Cuicateca un Cambisol hiperferrálico. Otro objetivo de esta investigación fue estimar el contenido de carbono en...
Tipo: Tesis Palavras-chave: Carbono; Suelos; Clasificación; Biomasa aérea; Fraccionamiento; Maestría; Edafología; Carbon; Soils; Classification; Aerial biomass; Fractioning..
Ano: 2007 URL: http://hdl.handle.net/10521/1560
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Scope and precision of sustainability assessment approaches to food systems Ecology and Society
Schader, Christian; Research Institute of Organic Agriculture (FiBL); christian.schader@fibl.org; Grenz, Jan; Bern University of Applied Sciences; jan.grenz@bfh.ch; Meier, Matthias S; Research Institute of Organic Agriculture (FiBL); matthias.meier@fibl.org; Stolze, Matthias; Research Institute of Organic Agriculture (FiBL); matthias.stolze@fibl.org.
With sustainability within food systems becoming an increasingly important issue, several approaches that claim to assess the sustainability of farms, farming systems, and supply chains have been developed. Looking more closely at these sustainability impact assessment approaches, we discerned considerable differences between them in terms of scope, the level of assessment, and the precision of indicators used for impact assessment. Our aim was to classify and analyze a range of available sustainability impact assessment approaches with respect to scope and precision. From a total of 35 sustainability assessment approaches, we selected 6 for a detailed comparison. From our analysis, we concluded that there are 3 different types of trade-offs in these...
Tipo: Peer-Reviewed Reports Palavras-chave: Agriculture; Classification; Life cycle assessment; SAFA guidelines; Sustainability assessment; Typology.
Ano: 2014
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Databases, Scaling Practices, and the Globalization of Biodiversity Ecology and Society
Turnhout, Esther; Forest and Nature Conservation Policy Group, Wageningen University, The Netherlands; esther.turnhout@wur.nl; Boonman-Berson, Susan; Forest and Nature Conservation Policy Group, Wageningen University, The Netherlands; susan.boonman-berson@wur.nl.
Since the Convention on Biological Diversity in 1992, biodiversity has become an important topic for scientific research. Much of this research is focused on measuring and mapping the current state of biodiversity, in terms of which species are present at which places and in which abundance, and making extrapolations and future projections, that is, determining the trends. Biodiversity databases are crucial components of these activities because they store information about biodiversity and make it digitally available. Useful biodiversity databases require data that are reliable, standardized, and fit for up-scaling. This paper uses material from the EBONE-project (European Biodiversity Observation Network) to illustrate how biodiversity databases are...
Tipo: Peer-Reviewed Reports Palavras-chave: Biodiversity; Classification; Databases; Scaling practices; Standards; Statistics; Volunteer recorders.
Ano: 2011
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Data mining and influential analysis of gene expression data for plant resistance gene identification in tomato (Solanum lycopersicum) Electron. J. Biotechnol.
Torres-Avilés,Francisco; Romeo,José S; López-Kleine,Liliana.
Background Molecular mechanisms of plant-pathogen interactions have been studied thoroughly but much about them is still unknown. A better understanding of these mechanisms and the detection of new resistance genes can improve crop production and food supply. Extracting this knowledge from available genomic data is a challenging task. Results Here, we evaluate the usefulness of clustering, data-mining and regression to identify potential new resistance genes. Three types of analyses were conducted separately over two conditions, tomatoes inoculated with Phytophthora infestans and not inoculated tomatoes. Predictions for 10 new resistance genes obtained by all applied methods were selected as being the most reliable and are therefore reported as potential...
Tipo: Journal article Palavras-chave: Classification; Data mining; Functional gene prediction; GEE models; Gene expression data; Plant immunity genes.
Ano: 2014 URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-34582014000200004
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ARTIFICIAL NEURAL NETWORK-BASED METHOD TO IDENTIFY FIVE VARIETIES OF EGYPTIAN FABA BEAN ACCORDING TO SEED MORPHOLOGICAL FEATURES REA
Aboukarima,Abdulwahed; El-Marazky,Mohamed; Elsoury,Hussien; Zayed,Moamen; Minyawi,Mamdouh.
ABSTRACT One of the new crop varieties that have been adopted for high yield is the Egyptian faba bean. However, poor-quality faba bean has reduced economic value. Quality evaluation is thus important and can be performed using computational intelligence. We developed a robust method based on morphological features and artificial neural network for quality grading and classification of Egyptian faba-bean seeds, covering five varieties: Giza3, Giza461, Misr1, Nobarya1, and Sakha1. Fifteen seed morphological features were then calculated, and artificial neural networks classified faba beans into different varieties. The results indicated an overall classification accuracy of 77.5% was achieved in training phase and it was 100% when testing dataset was used....
Tipo: Info:eu-repo/semantics/article Palavras-chave: Faba bean; Quality; Classification; Artificial neural network; Features.
Ano: 2020 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162020000600791
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Determination of the influence of the variation of reducing and non-reducing sugars on coffee quality with use of artificial neural network REA
Messias,José A. T.; Melo,Evandro de C.; Lacerda Filho,Adílio F. de; Braga,José L.; Cecon,Paulo R..
The present study aimed at evaluating the use of Artificial Neural Network to correlate the values resulting from chemical analyses of samples of coffee with the values of their sensory analyses. The coffee samples used were from the Coffea arabica L., cultivars Acaiá do Cerrado, Topázio, Acaiá 474-19 and Bourbon, collected in the southern region of the state of Minas Gerais. The chemical analyses were carried out for reducing and non-reducing sugars. The quality of the beverage was evaluated by sensory analysis. The Artificial Neural Network method used values from chemical analyses as input variables and values from sensory analysis as output values. The multiple linear regression of sensory analysis values, according to the values from chemical...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Coffee quality; Chemical analysis; Classification; Computer systems.
Ano: 2012 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162012000200015
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DEFINITION AND DIAGNOSIS OF A NEW TRIBE OF SIGMODONTINE RODENTS (CRICETIDAE: SIGMODONTINAE), AND A REVISED CLASSIFICATION OF THE SUBFAMILY Gayana
D'Elía,Guillermo; Pardiñas,Ulyses F. J; Teta,Pablo; Patton,James L.
A new tribe of sigmodontine rodents is formally defined and diagnosed. The tribe contains the extant genera Abrothrix (including Chroeomys), Chelemys, Geoxus, Pearsonomys, and Notiomys, a group of taxa distributed in the central and southern Andes and lowlands both east and west of the cordillera. The new tribe presents a unique combination of characters including nasals and premaxilla usually projected anterior to the incisors, moderately trumpeted; zygomatic plate with upper free border reduced or obsolete; and third upper molar reduced and sub-cylindrical in out-line with an internal ring-like enamel fossette. Molecular phylogenetic analyses indicate that Abrothrix is sister to a clade containing the remaining genera of the new tribe.
Tipo: Journal article Palavras-chave: Abrothrix; Chelemys; Chroeomys; Geoxus; Pearsonomys; Notiomys; South America; Classification.
Ano: 2007 URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-65382007000200007
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A parallel algorithm for finding small sets of genes that are enough to distinguish two biological states Genet. Mol. Biol.
Torres,Martha; Barrera,Junior.
GCLASS is an algorithm which explores small samples of two distinct biological states for finding small sets of genes, which form a feature vector that is enough to separate these two states. A typical sample is a set of 60 microarrays, 30 for each biological state, with several thousand genes. The technique consists of the following: a spreading model defined in the space of small sets of genes studied and centered in each feature vector considered; the designing of optimal linear classifiers under this spreading model; and ranking the designed classifiers, based on their error and robustness relative to the spreading. The feature vectors used in the best classifiers are considered the best feature vectors. Due to the great number of potential feature...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Gene expression; Classification; Parallel processing.
Ano: 2004 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572004000400034
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