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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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Characterization of volcanic structures associated to the silicic magmatism of the Paraná-Etendeka Province, in the Aparados da Serra region, southern Brazil Anais da ABC (AABC)
BENITES,SUSANA; SOMMER,CARLOS A.; LIMA,EVANDRO F. DE; SAVIAN,JAIRO F.; HAAG,MAURICIO B.; MONCINHATTO,THIAGO R.; TRINDADE,RICARDO I.F. DA.
Abstract The Paraná-Etendeka Magmatic Province is associated with the distensive tectonics that caused the rupture of the Gondwana continent during the Lower Cretaceous and generated an intense volcanism that covers South America and the NW portion of Namibia in Africa. In Brazil, this volcanic sequence is named Serra Geral Group and predominantly consists of basalts and subordinated silicic rocks. The goal of this study is to characterize the geomorphological features observed in the Aparados da Serra region, southern Brazil, and to evaluate the relationship between these structures and the primary silicic volcanic structures. The geomorphological features were first identified using remote sensing and then correlated with flow structures observed in the...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Anisotropy of Magnetic Susceptibility; Image processing; Silicic lavas; Volcanic morphologies.
Ano: 2020 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652020000300601
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Leaf area estimation from linear measurements in different ages of Crotalaria juncea plants Anais da ABC (AABC)
CARVALHO,JULIANA O. DE; TOEBE,MARCOS; TARTAGLIA,FRANCIELI L.; BANDEIRA,CIRINEU T.; TAMBARA,ANDRÉ L..
ABSTRACT The goal of this study was to estimate the leaf area of Crotalaria juncea according to the linear dimensions of leaves from different ages. Two experiments were conducted with C. juncea cultivar IAC-KR1, in the 2014/2015 sowing seasons. At 59, 82, 102, 129 days after sowing (DAS) of the first and 61, 80, 92, 104 DAS of the second experiment, 500 leaves were collected, totaling 4,000 leaves. In each leaf, the linear dimensions were measured (length, width, length/width ratio and length × width product) and the specific leaf area was determined through Digimizer and Sigma Scan Pro software, after scanning images. Then, 3,200 leaves were randomly separated to generate mathematical models of leaf area (Y) in function of linear dimension (x), and 800...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Non-destructive method; Image processing; Mathematical models; Model validation.
Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652017000401851
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Design of a three-dimensional hand/forearm model to apply computational fluid dynamics BABT
Marinho,Daniel Almeida; Reis,Victor Machado; Vilas-Boas,João Paulo; Alves,Francisco Bessone; Machado,Leandro; Rouboa,Abel Ilah; Silva,António José.
The purpose of this study was to develop a three-dimensional digital model of a human hand and forearm to apply Computational Fluid Dynamics to propulsion analysis in swimming. Computer tomography scans of the hand and forearm of an Olympic swimmer were applied. The data were converted, using image processing techniques, into relevant coordinate input, which could be used in Computational Fluid Dynamics software. From that analysis, it was possible to verify an almost perfect agreement between the true human segment and the digital model. This technique could be used as a means to overcome the difficulties in developing a true three-dimensional model of a specific segment of the human body. Additionally, it could be used to improve the use of Computational...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Finite element modelling; Image processing; Computational fluid dynamics; Biomechanics; Swimming.
Ano: 2010 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132010000200024
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A clinical gamma camera-based pinhole collimated system for high resolution small animal SPECT imaging BJMBR
Mejia,J.; Galvis-Alonso,O.Y.; Castro,A.A.de; Braga,J.; Leite,J.P.; Simões,M.V..
The main objective of the present study was to upgrade a clinical gamma camera to obtain high resolution tomographic images of small animal organs. The system is based on a clinical gamma camera to which we have adapted a special-purpose pinhole collimator and a device for positioning and rotating the target based on a computer-controlled step motor. We developed a software tool to reconstruct the target’s three-dimensional distribution of emission from a set of planar projections, based on the maximum likelihood algorithm. We present details on the hardware and software implementation. We imaged phantoms and heart and kidneys of rats. When using pinhole collimators, the spatial resolution and sensitivity of the imaging system depend on parameters such as...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Pinhole collimator; SPECT; Small animal organs; Maximum likelihood; Instrumentation; Image processing.
Ano: 2010 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2010001200004
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Antioxidant activity and physiological performance of popcorn seed after saline stress and analysis of seedling images Ciência e Agrotecnologia
Catão,Hugo Cesar Rodrigues Moreira; Caixeta,Franciele; Lopes,Amanda Moreira; Nery-Silva,Flavia Andrea; Sá Júnior,Adílio de.
ABSTRACT Salinity influences all germination stages and may adversely affect seedling establishment in the field. The objective of this research was to determine the relationship between the antioxidant activity and the physiological performance of seeds and to verify the efficacy of the imaging analysis of popcorn seedlings after seed exposure to saline stress. A completely randomized design was used that consisted of four replicates in a factorial scheme. This scheme comprised three popcorn hybrids (P618, AP6002, and AP8203) and five saline potential levels (0.0; -0.1; -0.3; -0.6, and -0.9 MPa) that were obtained from KCl solutions of different concentrations. First count germination, germination and seedling vigor classification (strong normal...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Zea mays var. everta; Physiological quality; Seed vigor; Image processing; Salinity..
Ano: 2020 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542020000100230
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Leaf area estimation of squash ‘Brasileirinha’ by leaf dimensions Ciência Rural
Toebe,Marcos; Souza,Rafael Rodrigues de; Mello,Anderson Chuquel; Melo,Patrícia Jesus de; Segatto,Alexandre; Castanha,Ana Carla.
ABSTRACT: The objectives of this work were estimate the leaf area of squash ‘Brasileirinha’ by linear dimensions of the leaves and check models available in the literature. An experiment was conducted in the 2015/16 sowing season. Were collected 500 leaves and in each one, were measured the length (L), width (W) and length×width product (LW) and determined the real leaf area (LA). Then, 400 leaves were separated to generate models of the leaf area (LA) as a function of linear dimension (L, W or LW) of squash. The remaining 100 leaves were used for the validation of models. A second experiment was conducted in the 2016/17 sowing season. Were collected 250 leaves, used only for the validation of the models of the first experiment. There is collinearity...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Cucurbita moschata; Image processing; Non-destructive method; Mathematical models.
Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782019000400203
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Predictive efficiency of distinct color image segmentation methods for measuring intramuscular fat in beef Ciência Rural
Mello,Renius; Vaz,Fabiano Nunes; Pacheco,Paulo Santana; Pascoal,Leonir Luiz; Prestes,Rosa Cristina; Costa,Patrícia Barcellos; Kipper,Djenifer Kirch.
Intramuscular fat (IMF) influences important quality characteristics of meat, such as flavor, juiciness, palatability, odor and tenderness. Thus, the objective of this study was to apply the following image processing techniques to quantify the IMF in beef: palette; sampling, interval of coordinates; black and white threshold; and discriminant function of colors. Thirty-five samples of beef, with a wide range of IMF, were used. Color images were taken of the meat samples from different muscles, with variability in the IMF content. The IMF of a thin cross-section meat was determined by chemical lipid extraction and was predicted by image analysis. The chemical method was compared with the image analysis. The segmentation procedures were validated by the...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Tissue characterization; Meat industry; Marbling; Image processing; Meat quality..
Ano: 2015 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782015001001865
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Análisis espacio-temporal del paisaje en la microcuenca dos afonsos - municipio de redençao da serra - Sp Ciências Agrárias
Biffi, Pedro Victor Barreto; Rossin, Sergio; Valerio, Mario.
In this project "space-temporary Analysis of the landscape in the basin Dos Afonsos" was analyzed the patterns of change of use of the soils and the fragmentation of the wood, located in the basin Dos Afonsos, and inside the limits of the Redençao da Serra district that belongs to the Região do Vale do Paraíba-SP state. For it a was carried out an multitemporal analyzed on an area approximated of 6802,59 of hectares, using for that program SPRING, for the image of Landsat processing of the followings years 1984, 1994, 2005 and the images of CBERS of the 2005 years The analysis of detection of changes was made for the followings classes: Lake - Lagoon, Macrophytes, Wood, Grass, degraded Grass, implanted Grass, Burned, reforests and Bare soils. Concluding...
Tipo: Article Palavras-chave: Remote sensing; Soils; Processamento de imagens; Sensoriamento remoto; The basin; Image processing.
Ano: 2007 URL: http://hdl.handle.net/2315/111
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Procedimento para minimização do efeito de alta freqüência resultante de fusão entre bandas TM Landsat e pancromáticas Spot e Quickbird Ciências Agrárias
Sestini, Marcelo Francisco; Ferri, Clotilde Pinheiro.
The image fusion is a technique used to integrate images at different spatial resolutions to obtain better spatial information with spectral characteristics of the targets and is a important tool for environmental studies, including drainage and hydric resources. The IHS transformation is a technique used for to integrate images of different spatial resolution, but the resultant images presents redundant areas enhancement, due to abrupt transitions caused to high tonal variations. In this study, a procedure is described which aims to smooth the spatial high frequency areas and to improve the image quality, reducing the footprint by low pass filters. The study area is Igaratá and Jacarei cities, in São Paulo State, and and was applied a merge of Landsat TM...
Tipo: Article Palavras-chave: IHS transformation; Fusão de imagens; Remote sensing; Image processing; Image fusion; Sensoriamento remoto; Processamento de imagens; Transformação IHS.
Ano: 2007 URL: http://hdl.handle.net/2315/77
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Análise do tamanho e distância entre fragmentos florestais na bacia hidrográfica do Rio Una Ciências Agrárias
Catelani, Celso de Souza; Batista, Getulio Teixeira.
This article characterized the forest fragments of Una River hydrographic basin, affluent of the Paraíba do Sul River. Results showed that the average mean size of all fragments is 9.06 ha and that the correlation to the circular shape is 0.68 and the mean nucleus area of fragments considering a border effect of 60m is 5.86 ha. The mean distance among them is 245m. These parameters indicate that this basin has elongated fragments, with high border effect and may be in risk of biodiversity erosion. The image showing the different size classes of fragments allowed spatial observation of critical areas of the basin in ecological sustainability risk. The computing tools proved to be useful and easy to use as long as a previous georeferenced data basis is...
Tipo: Article Palavras-chave: Remote sensing; Image processing; SIG processamento de imagens sensoriamento remoto GIS.
Ano: 2007 URL: http://hdl.handle.net/2315/84
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