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	Provedor de dados CIGR Journal (10) ArchiMer (10) REA (4) OceanDocs (3) Ciências Agrárias (3) Infoteca-e (2) Anais da ABC (AABC) (2) Ciência Rural (2) AGRIAMBI (2) Rev. Ciênc. Agron. (1) OMA (1) BABT (1) BJMBR (1) Scientia Agricola (1) Ciência e Agrotecnologia (1) Gayana (1) PAB (1) Rev. Bras. Ciênc. Solo (1) Mais... Autor Bava, J. (2) Chapron, Bertrand (2) Mirzabe, Amir Hossein (2) Nääs,Irenilza de A. (2) Abela, John (1) Agostini, S (1) Alimardani, Reza (1) Alves,Francisco Bessone (1) Amraei,Somaye (1) Araújo,Isabel Cristina da Silva (1) Artigas, Luis Felipe (1) Assis,Igor R. de (1) Autret, Emmanuelle (1) Azizpanah, Amir (1) BANDEIRA,CIRINEU T. (1) BARBEDO, J. G. A. (1) BENITES,SUSANA (1) Ba, Sileye O. (1) Batista, Getulio Teixeira (1) Beraldo,José M. G. (1) Mais... Palavra-chave Image processing (47) Remote sensing (3) Computer vision (2) Fishery resources (2) Image analysis (2) Mathematical models (2) Non-destructive method (2) Oceanic fronts (2) Processamento de imagens (2) Reflectance (2) Satellite sensing (2) Sensoriamento remoto (2) Surface temperature (2) Turbidity (2) Acartia tonsa (1) Accuracy assessment (1) Active learning (1) Agriculture and Food quality evaluation (1) Analyse automatisée (1) Analyse d'image (1) Mais... Tipo do documento Info:eu-repo/semantics/article (27) Text (10) Article (3) Theses and Dissertations (2) Boletim de Pesquisa e Desenvolvimento (INFOTECA-E) (1) Capítulo em livro técnico (INFOTECA-E) (1) Info:eu-repo/semantics/other (1) Journal Contribution (1) Journal article (1) Mais... Ano 2021 (1) 2020 (5) 2019 (6) 2018 (4) 2017 (2) 2016 (3) 2015 (5) 2014 (2) 2013 (3) 2012 (3) 2011 (1) 2010 (2) 2009 (2) 2007 (3) 2004 (2) 2002 (1) 1995 (1) 1990 (1) Mais... País Brazil (22) China (10) France (10) Belgium (4) Chile (1) Idioma Inglês (36) Português (5) Espanhol (3) Francês (3)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 47 Primeira ... 1 2 3 ... Última Metodologias de procesamiento de imagenes NOAA-AVHRR y su utilizacion en aplicaciones oceanograficas y biologico-pesqueras en el Atlantico sudoccidental. OceanDocs Bava, J.. The objective was to use the synoptic capability of NOAA-AVHRR images, and the physical variables inferred from them, in order to achieve spatial and temporal analysis that may allow correlating the satellite variables with oceanographic processes and biological or fishing data. Methodologies of image processing were developed to make possible the use of AVHRR information for the standardized and reliable generation of Sea Surface Temperature (SST) images (using bands 3 to 5 in the thermal infrared), and water reflectance images (using optic bands 1 and 2) as an index of surface turbidity in coastal zones. A methodology was also generated in order to obtain gradients images derived from SST images, which allows the identification of oceanographic fronts.... Tipo: Theses and Dissertations Palavras-chave: Image processing; Satellite sensing; Surface temperature; Turbidity; Reflectance; Fishery resources; Oceanic fronts; Image processing; Turbidity; Fishery resources; Reflectance. Ano: 2004 URL: http://hdl.handle.net/1834/1467 Metodologias de procesamiento de imagenes NOAA-AVHRR y su utilizacion en aplicaciones oceanograficas y biologico-pesqueras en el Atlantico sudoccidental. OceanDocs Bava, J.. The objective was to use the synoptic capability of NOAA-AVHRR images, and the physical variables inferred from them, in order to achieve spatial and temporal analysis that may allow correlating the satellite variables with oceanographic processes and biological or fishing data. Methodologies of image processing were developed to make possible the use of AVHRR information for the standardized and reliable generation of Sea Surface Temperature (SST) images (using bands 3 to 5 in the thermal infrared), and water reflectance images (using optic bands 1 and 2) as an index of surface turbidity in coastal zones. A methodology was also generated in order to obtain gradients images derived from SST images, which allows the identification of oceanographic fronts.... Tipo: Theses and Dissertations Palavras-chave: Image processing; Satellite sensing; Surface temperature; Turbidity; Reflectance; Fishery resources; Oceanic fronts; Image processing; Turbidity; Fishery resources; Reflectance; Http://aims.fao.org/aos/agrovoc/c_37359; Http://aims.fao.org/aos/agrovoc/c_15043; Http://aims.fao.org/aos/agrovoc/c_2942; Http://aims.fao.org/aos/agrovoc/c_28538. Ano: 2004 URL: http://hdl.handle.net/1834/1467 Hábitats del golfo de Ana María identificados mediante el empleo de procesamiento digital de imágenes OceanDocs Ventura Díaz, Y.; Rodríguez Cueto, Y.. Durante los meses de octubre de 2011 y abril de 2012 se llevaron a cabo expediciones al golfo de Ana María para realizar una caracterización del mismo. En dichas expediciones se tomaron como referencia una serie de estaciones de muestreo que sirvieron de base para el levantamiento de campo realizado. Este trabajo tiene como objetivo elaborar una primera versión del mapa de los hábitats marinos del golfo de Ana María, usando el procesamiento digital de imágenes y el muestreo de campo mediante el empleo de sitio de muestreo. Para el cumplimiento del objetivo se tuvo en cuenta la información de los fondos obtenidos en las clasificaciones realizadas para las áreas protegidas, Refugio de Fauna Cayos Ana María y Refugio de Fauna Macurije-Santa María, las... Tipo: Journal Contribution Palavras-chave: Image processing; Maps; Site investigation. Ano: 2012 URL: http://hdl.handle.net/1834/4634 Measuring selectivity of feeding by estuarine copepods using image analysis combined with microscopic and Coulter counting OMA Tackx, M.L.M.; Zhu, L.; De Coster, W.; Billones, R.G.; Daro, M.H.. Although estuarine zooplankters are generally believed to be detritivorous, high clearance rates by the estuarine copepods <i>Eurytemora affinis</i> and <i>Acartia tonsa</i> on natural estuarine microplankton have been reported in the literature. In order to enable detection of possible selectivity for these microplankton organisms over detritus, a method that measures clearance rates on total particulate matter is proposed. Image analysis is used to measure copepod gut contents, and combined with Coulter counter measurements of total particulate matter concentration, allows one to calculate clearance rates on the latter. The first results indicate that, in the Westerschelde estuary (SW Netherlands), both <i>E.... Tipo: Info:eu-repo/semantics/article Palavras-chave: Estuarine organisms; Feeding behaviour; Image processing; Selective feeding; Acartia tonsa; Copepoda [copepods]; Eurytemora affinis. Ano: 1995 URL: http://www.vliz.be/nl/open-marien-archief?module=ref&refid=2632 Identifying drought events in sugarcane using drought indices derived from Modis sensor PAB Picoli,Michelle Cristina Araujo; Duft,Daniel Garbellini; Machado,Pedro Gerber. Abstract: The objective of this work was to evaluate the potential of several spectral indices, used on moderate resolution imaging spectroradiometer (Modis) images, in identifying drought events in sugarcane. Images of Terra and Aqua satellites were used to calculate the spectral indices, using visible (red), near infrared, and shortwave infrared bands, and eight indices were selected: NDVI, EVI2, GVMI, NDI6, NDI7, NDWI, SRWI, and MSI. The indices were calculated using images between October and April of the crop years 2007/08, 2008/09, 2009/10, and 2013/14. These indices were then correlated with the standardized precipitation-evapotranspiration index (SPEI), calculated for 1, 3, and 6 months. Four of them had significant correlations with SPEI: GVMI,... Tipo: Info:eu-repo/semantics/article Palavras-chave: Saccharum officinarum; Drought stress; Image processing; Satellite imagery; SPEI; Warning systems. Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2017001101063 Public-domain software for root image analysis Rev. Bras. Ciênc. Solo Costa,Mirian Cristina Gomes; Cunha,Isabela Maria de Lima; Jorge,Lúcio André de Castro; Araújo,Isabel Cristina da Silva. In the search for high efficiency in root studies, computational systems have been developed to analyze digital images. ImageJ and Safira are public-domain systems that may be used for image analysis of washed roots. However, differences in root properties measured using ImageJ and Safira are supposed. This study compared values of root length and surface area obtained with public-domain systems with values obtained by a reference method. Root samples were collected in a banana plantation in an area of a shallower Typic Carbonatic Haplic Cambisol (CXk), and an area of a deeper Typic Haplic Ta Eutrophic Cambisol (CXve), at six depths in five replications. Root images were digitized and the systems ImageJ and Safira used to determine root length and surface... Tipo: Info:eu-repo/semantics/article Palavras-chave: Root length; Root surface area; Image processing; Root system. Ano: 2014 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832014000500001 Use of digital images to estimate soil moisture AGRIAMBI Santos,João F. C. dos; Silva,Heider R. F.; Pinto,Francisco A. C.; Assis,Igor R. de. ABSTRACT The objective of this study was to analyze the relation between the moisture and the spectral response of the soil to generate prediction models. Samples with different moisture contents were prepared and photographed. The photographs were taken under homogeneous light condition and with previous correction for the white balance of the digital photograph camera. The images were processed for extraction of the median values in the Red, Green and Blue bands of the RGB color space; Hue, Saturation and Value of the HSV color space; and values of the digital numbers of a panchromatic image obtained from the RGB bands. The moisture of the samples was determined with the thermogravimetric method. Regression models were evaluated for each image type: RGB,... Tipo: Info:eu-repo/semantics/article Palavras-chave: Soil color; Image processing; RGB; HSV. Ano: 2016 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662016001201051 Proposal of automated computational method to support Virginia tobacco classification AGRIAMBI Tedesco,Leonel P. C.; Freitas,Adriano da C. de; Molz,Rolf F.; Schreiber,Jacques N. C.. ABSTRACT This article proposes an automatic method for classification of cured tobacco leaves. Typically this process is performed manually, allowing the occurrence of human errors. In addition, the existence of an automated comparative procedure, helping to perform the classification, can make this process faster and more transparent. In order to implement the method, non-invasive to the agricultural product, 250 samples of Virginia tobacco digital images in the RGB and HSV color models were analyzed. The validation of the method was carried out using partial least squares (PLS) and artificial neural network (ANN), presenting a qualitative and quantitative analysis of both tools. It has been verified that the PLS can be applied to this method, as it has a... Tipo: Info:eu-repo/semantics/article Palavras-chave: Image processing; Partial least square; Artificial neural network. Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662019001000782 USPLeaf: Automatic leaf area determination using a computer vision system1 Rev. Ciênc. Agron. Meira,Luiz Antonio; Pereira,Lilian Elgalise Techio; Santos,Manoel Eduardo Rozalino; Tech,Adriano Rogério Bruno. ABSTRACT Computer vision systems based on digital image processing have been proposed as alternative tools to traditional methods to estimate leaf area, replacing the most time-consuming steps and laboring manual measurements. However, many of the available applications are still based on manual determination of leaf dimensions or require excessive and laborious user interventions before providing results. USPLeaf was designed to process images containing single or multiple leaves, and automatically determine the leaf area without user intervention. The accuracy for leaf area measurements of the software was compared to the results obtained by the standard method, an electronic planimeter (LI-3100). The vegetal species, Mavuno grass (MAV, Urochloa hybrid)... Tipo: Info:eu-repo/semantics/article Palavras-chave: Image processing; Edge detection; Image segmentation; Information extraction. Ano: 2020 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902020000400413 A smartphone-based apple yield estimation application using imaging features and the ANN method in mature period Scientia Agricola Qian,Jianping; Xing,Bin; Wu,Xiaoming; Chen,Meixiang; Wang,Yan'an. ABSTRACT: Apple yield estimation using a smartphone with image processing technology offers advantages such as low cost, quick access and simple operation. This article proposes distribution framework consisting of the acquisition of fruit tree images, yield prediction in smarphone client, data processing and model calculation in server client for estimating the potential fruit yield. An image processing method was designed including the core steps of image segmentation with R/B value combined with V value and circle-fitting using curvature analysis. This method enabled four parameters to be obtained, namely, total identified pixel area (TP), fitting circle amount (FC), average radius of the fitting circle (RC) and small polygon pixel area (SP). A... Tipo: Info:eu-repo/semantics/article Palavras-chave: Potential yield prediction model; Image processing; Mobile phone application development; Orchard precision management. Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162018000400273 AN INTELLIGENT COMPUTER VISION SYSTEM FOR VEGETABLES AND FRUITS QUALITY INSPECTION USING SOFT COMPUTING TECHNIQUES CIGR Journal G, Narendra V. The quality of food products is very important for the human health. The large population and the increased requirements of food products makes it difficult to arrive the desired quality. The quality inspection and sorting tons of fruits and vegetables manually is a slow, costly, and an inaccurate process. In this research a vision-based quality inspection and sorting system is developed, to increase the quality of food products. The quality inspection and sorting process depends on capturing the image of the fruits/vegetables, analyzing captured image to discard defected products in order to identify the good or bad. Four different systems for different food products have been developed namely, Orange, Lemon, Sweet Lime, and Tomato. A dataset of 1200... Tipo: Info:eu-repo/semantics/article Palavras-chave: Agriculture and Food quality evaluation; Image processing; Compter Vision; Soft computing Techniques Quality Inspection of fruits and Vegetables; Back propagation neural network; Probabilistic neural network.. Ano: 2019 URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/5188 DEVELOPMENT OF A COMPUTATIONAL TOOL TO IDENTIFY NUTRITIONAL DEFICIENCIES IN CURUBA PLANTS (Passiflora tripartita var. molissima) CIGR Journal Roa Guerrero, Edgar Eduardo. Nowadays, the determination of nutritional deficiencies in plants has become one of the most important analysis of crop growth. Often, this analysis is performed manually by specialized personnel for long period of time, leading to an error in the procedure. The purpose of this research is to develop a computational tool for the identification of nutritional deficiencies such as Nitrogen, Potassium and Phosphorus in Curuba plants. The methodology includes 3D designs, tool construction and the detection of nutritional deficiencies by image processing techniques in MatLab. Finally, the results obtained by the developed computational tool with respect to the data provided in a traditional way by the technical experts, presented an accuracy of 100%, 80%, 91%... Tipo: Info:eu-repo/semantics/article Palavras-chave: Image processing; Identification of nutritional deficiencies in plants Nutritional deficiencies; Growth indices; Computational tool. Ano: 2018 URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/4335 Development of an automatic chili drying controller based on computer vision CIGR Journal Kanjanawanishkul, Kiattisin. Color of dried chilies is one of the most key factors that influences consumers’ preference. It is mainly affected by the drying process. Traditionally, drying temperature is fixed during the drying process without regard to the quality of chilies being dried. Thus, the aim of this research is to develop a controller for the chili drying process that determines the drying temperature according to the change of chili color. To measure the chili color, we built a hot air tray dryer incorporated with a computer vision system which measures the chili color during drying. We converted the RGB color model to the L*a*b* color model and calculated the change of the a* component (\delta a). If \delta a within 15 minutes was less than 2, then, the drying temperature... Tipo: Info:eu-repo/semantics/article Palavras-chave: Dried chili color; Image processing; Drying control; Closed-loop controlthe Higher Education Research Promotion and National Research University Project of Thailand Office of the Higher Education Commission. Ano: 2019 URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/5236 Mass modelling by dimension attributes for Mango (Mangifera indica cv. Zebdia) relevant to post-harvest and food plants engineering CIGR Journal Mossad, Amr; El Helew, Waleed Kamel Mohammed; Elsheshetawy, Hemat E.; Farina, Vittorio. Mass identification of mango fruits from their dimension attributes remains challenging.  This is because of the unregulated shapes of these fruits.  Therefore, this research aims at creating mathematical models that can demonstrate the relationship between the fruit’s mass and dimension attributes.  Hence, these models can be used in post-harvest engineering systems.  The researchers used 100 mango fruits (Mangifera indica cv. Zebdia) to determine the mathematical relationship between the fruits’ weight and dimension attributes.  The researcher measured and photographed the dimensions of these fruits and processed the image captured for each fruit using a computer program to find the fruit’s dimensions.  The results obtained led to the development of six... Tipo: Info:eu-repo/semantics/article Palavras-chave: Bioprocess technology; Fruit sorting; Image processing; Physical attributes. Ano: 2016 URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/3483 Precision spray modeling using image processing and artificial neural network CIGR Journal Azizpanah, Amir; Rajabipour, Ali; Alimardani, Reza; Kheiralipour, Kamran; Mohammadi, Vahid. This study employed artificial neural network method for predicting the sprayer drift under different conditions using image processing technique. A wind tunnel was used for providing air flow in different velocities. Water Sensitive Paper (WSP) was used to absorb spray droplets and an automatic algorithm processed the images of WSPs for measuring droplet properties including volume median diameter (Dv0.5) and Surface Coverage Percent (SCP). Four Levenberg-Marqurdt models were developed to correlate the sprayer drift (output parameter) to the input parameters (height, pressure, wind velocity and Dv0.5). The ANN models were capable of predicting the output variables in different conditions of spraying with a high performance. Both models predicted the... Tipo: Info:eu-repo/semantics/article Palavras-chave: Sprayer; Drift; Image processing; Artificial Neural Network. Ano: 2015 URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/3261 Development of an imaging system for spatially real-time measurement of drying parameters in industrial drying units CIGR Journal amjad, waseem; Munir, Anjum; Sturm, Barbara. Lack of accurate information for the drying kinetics is the main barrier to optimize drying processes effectively. Online monitoring of drying data is not common due to practical issues involved in set-up application. In this study an imaging system was developed for large drying units to investigate the quality changes (color kinetics and shrinkage) combine with weight loss of food product spatially and non-destructively during convective drying. The imaging setup was used in a diagonal-airflow batch dryer and shifted along the dryer length to take data (food images and weight loss) at different positions using potato slices (5mm thick, 60°C) as drying material. First order model fitted well to value of ∆L* and ∆b* while ∆a* and ∆E fitted in zero order... Tipo: Info:eu-repo/semantics/article Palavras-chave: Image processing; Real time data; Drying. Ano: 2020 URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/5985 Improving field management by machine vision - a review CIGR Journal Taghadomi-Saberi, Saeedeh; Hemmat, Abbas. Growing population of people around the world and thus increasing demand to food products as well as high tendency for declining the cost of operations and environmental preserving cares intensify inclination toward the application of variable rate systems for agricultural treatments, in which machine vision as a powerful appliance has been paid vast attention by agricultural researchers and farmers as this technology consumers. Various applications have introduced for machine vision in different fields of agricultural and food industry till now that confirms the high potential of this approach for inspection of different parameters affecting productivity. Computer vision has been utilized for quantification of factors affecting crop growth in field; such... Tipo: Info:eu-repo/semantics/article Palavras-chave: Biosystems engineering Precision agriculture; Field management; Image processing; Variable rate. Ano: 2015 URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/3250 Moisture-dependent physical properties of Plantain (Plantago major L.) seeds by image processing analysis CIGR Journal Fadavi, Ali; Mirzabe, Amir Hossein; Mansouri, Ali. Tipo: Info:eu-repo/semantics/article Palavras-chave: Plantain; Image processing; Moisture content; Physical properties. Ano: 2015 URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/3325 Effects of some air-jet impingement parameters on the removal of sunflower seeds from the heads in linear movement CIGR Journal Mirzabe, Amir Hossein; Chegini, Golam Reza; Massah, Jafar; Khazaei, Javad. Due to success of air-jet application in food and agricultural sciences, a new method was invented based on the impingement jets in order to eliminate a number of problems present in mechanical methods of removing sunflower seeds from the head. When the sunflower head had linear velocity and the nozzle was fixed, the effects of the seeds’ location on the sunflower head, reservoir pressure, nozzle diameter, linear velocity of the sunflower head, and the distance between the nozzle outlet and the surface of the sunflower head on its removed area were examined. The regions removed by the impingement of the air-jet were photographed and the area of the removed regions was calculated based on the image processing technique. The results showed that the area of... Tipo: Info:eu-repo/semantics/article Palavras-chave: Sunflower; Thresher machine; Image processing; Linear velocity; Power consumption; Energy consumption.. Ano: 2021 URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/6287 Using online image processing technique for measurement the browning in banana during drying (a new and automatic method) CIGR Journal Ebrahimi, Mohammad Ali; Mohtasebi, Seyyed Saeed; Rafiee, Shahin; Hosseinpour, S.. Determination and controlling of quality parameters can be useful for ordering and marketing of fruits.  Color is the first and the most important parameter in the visual appearance of fruits, specifically in banana.  The aim of this study is to use image-processing technique (online operation) to measure and analyze the color change of banana slices during thin layer drying.  Using online-image-processing technique resulted in designing a machine vision system to control the color change of products automatically.  The results show a linear relation with high correlation coefficient for L*, a* and b* (0.967, 0.962 and 0.991 respectively) between the data of the image-processing technique and the hold-hand colorimeter.  In this study, parameters of chroma,... Tipo: Info:eu-repo/semantics/article Palavras-chave: Image processing; Machine vision; Online; Banana. Ano: 2013 URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/2522 Registros recuperados: 47 Primeira ... 1 2 3 ... Última

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