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A machine vision-intelligent modelling based technique for in-line bell pepper sorting

Information Processing in Agriculture 2023年第4期10卷 491-503页

作者： Khaled Mohi-Alden Mahmoud Omid Mahmoud Soltani Firouz Amin Nasiri department of Agricultural Machinery engineering Faculty of Agricultural Engineering and TechnologyUniversity of TehranIran department of biosystems engineering and soil science University of TennesseeKnoxvilleTN 37996USA

The uniformity of appearance attributes of bell peppers is significant for consumers and food *** automate the sorting process of bell peppers and improve the packaging quality of this crop by detecting and separating the not likable low-color bell peppers,developing an appropriate sorting system would be of high importance and *** to standards and export needs,the bell pepper should be graded based on maturity levels and size to five *** research has been aimed to develop a machine vision-based system equipped with an intelligent modelling approach for in-line sorting bell peppers into desirable and undesirable samples,with the ability to predict the maturity level and the size of the desirable bell *** perceptron(MLP)artificial neural networks(ANNs)as the nonlinear modelswere designed for that *** modelswere trained and evaluated through five-fold cross-validation *** optimum MLP classifier was compared with a linear discriminant analysis(LDA)*** results showed that the MLP outperforms the LDA *** processing time to classify each captured image was estimated as 0.2 s/sample,which is fast enough for in-line ***,the optimum MLP model was integrated with a machine vision-based sorting machine,and the developed system was evaluated in the in-line *** performance parameters,including accuracy,precision,sensitivity,and specificity,were 93.2%,86.4%,84%,and 95.7%,*** total sorting rate of the bell pepper was also measured as approximately 3000 samples/h.

关键词： Bell pepper Sorting Image processing Machine vision Multilayer perceptron Linear discriminant analysis

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Assessment of physically-based and data-driven models to predict microbial water quality in open channels

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Journal of Environmental sciences 2010年第6期22卷 851-857页

作者： Minyoung Kim Charles P.Gerba Christopher Y.Choi Agricultural Safety engineering Division Department of Agricultural EngineeringNational Academy of Agricultural ScienceRural Development Administration(Korea) department of soil Waterand Environmental Sciencethe University of Arizona department of Agricultural and biosystems engineering the University of Arizona

In the present study, a physically-based hydraulic modeling tool and a data-driven approach using artificial neural networks （ANNs） were evaluated for their ability to simulate the fate and transport of microorganisms in a water system. To produce reliable data, a pipe network was constructed and a series of experiments using a fecal coliform indicator （Escherichia coli 15597） was conducted. For the physically-based model, morphological （pipe size, link length, slope, etc.） and hydraulic （flow rate） conditions were used as input variables, and for ANNs, water quality parameters （conductivity, pH, and turbidity） were used. Both approaches accurately described the fate and transport of microorganisms （physically-based model： correlation coefficient （R） in the range of 0.914 - 0.977 and ANNs： R in the range of 0.949 - 0.980）, with the exception of one case at a low flow rate （q = 31.56 cm^3/sec）. This study also indicated that these approaches could be complementarily utilized to assess the vulnerability of water facilities and to establish emergency plans based on hypothetical scenarios.

关键词： transport open channel artificial neural networks Escherichia coli

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Prediction of shelled shrimp weight by machine vision

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Journal of Zhejiang University-science B(Biomedicine & Biotechnology) 2009年第8期10卷 589-594页

作者： Peng-min PAN Jian-ping LI Gu-lai LV Hui YANG Song-ming ZHU Jian-zhong LOU department of biosystems engineering School of Biosystems Engineering and Food Science Zhejiang University Hangzhou 310029 China

The weight of shelled shrimp is an important parameter for grading *** weight prediction of shelled shrimp by contour area is not accurate enough because of the ignorance of the shrimp *** this paper,a multivariate prediction model containing area,perimeter,length,and width was established.A new calibration algorithm for extracting length of shelled shrimp was proposed,which contains binary image thinning,branch recognition and elimination,and length reconstruction,while its width was calculated during the process of length *** model was further validated with another set of images from 30 shelled *** a comparison purpose,artificial neural network(ANN) was used for the shrimp weight *** ANN model resulted in a better prediction accuracy(with the average relative error at 2.67%),but took a tenfold increase in calculation time compared with the weight-area-perimeter(WAP) model(with the average relative error at 3.02%).We thus conclude that the WAP model is a better method for the prediction of the weight of shelled red shrimp.

关键词： Shelled shrimp Image Feature Length extracting Weight prediction Weight-area-perimeter (WAP) model

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Effect of best management practice implementation on sediment and phosphorus load reductions at subwatershed and watershed scale using SWAT model

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International Journal of Sediment Research 2016年第4期31卷 386-394页

作者： Jasmeet Lamba Anita M.Thompson K.G.Karthikeyan John C.Panuska Laura W.Good biosystems engineering department Auburn University department of soil science University of Wisconsin-Madison department of Biological Systems engineering University of Wisconsin-Madison

Identification of areas contributing disproportionately high amount of pollutants(i.e.,critical source areas(CSAs)) to streams is important to efficiently and effectively target best management practices(BMPs).Process-based models are commonly used to identify CSAs and evaluate the impact of alternative management practices on pollutant load *** objective of this study was to use the soil and Watershed Assessment Tool(SWAT) to identify CSAs at the subwatershed level and evaluate the impact of alternative BMPs on sediment and total phosphorus(TP) load reductions in the Pleasant Valley watershed(50 km~2) in South Central Wisconsin(USA).The Nash-Sutcliffe efficiency,percent bias,and coefficient of determination ranged from 0.58 to 0.71,-12.87 to 38.33,and 0.67 to 0.79,respectively,indicating that SWAT was able to predict stream flow,sediment and TP loadings at a monthly time-step with sufficient *** on the SWAT simulation results,annual average(2006-2012) subwatershed yield for sediment and TP ranged from 0.06 to 3.14 tons hayrand 0.04 to1.9 kg hayr,*** croplands were the major source ofsediment and TP in this watershed(> 84%).Reduction in sediment and TP loading ranged from 66%to 99%at the subwatershed level after conversion of croplands to Conservation Reserve Program(CRP) grasslands in subwatersheds identified as *** the other hand,reduction in sediment and TP loading with implementation of no-till practices ranged from only 14%to 25%.At the watershed outlet,sediment and TP loading reduction was< 15%after conversion of croplands to CRP grasslands and implementation of no-till practices because only about 8%of the watershed area was targeted for BMPs and/or resuspension of sediment deposited on the stream bed masked the downstream improvements in water quality.

关键词： SWAT Critical source areas Phosphorus Sediment Tillage Watershed modeling

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The effect of hemicellulose on the interparticle frictional behavior of lignocellulosic biomass particulates

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Particuology 2021年第2期19卷 16-22页

作者： Ekramul Haque Ehite Eric Drumm Nourredine Abdoulmoumine biosystems engineering and soil science department University of TennesseeKnoxvilleTN 37996USA Center for Renewable Carbon University of TennesseeKnoxvilleTN 37996USA

Lignocellulosic biomass material sourced from plants and herbaceous sources is considered as a prospective feedstock of inexpensive,potentially carbon-neutral *** biomass is structurally built on cellulose,hemicellulose,and lignin,which are present in varying concentrations based on the feedstock type and play distinct and not well understood mechanical functions in the flow *** frictional characteristics of lignocellulosic biomass particulates influence their flow behavior in ***,it is important to fundamentally investigate the relative contribution of cellulose,hemicellulose,and lignin to the frictional ***,these three biopolymers are interwoven into a complex matrix in the lignocellulosic biomass,thus making it hard to quantify the contribution of each *** this study,we selectively remove hemicellulose from switchgrass and investigate the effects of its diminishing concentration on the coefficient of *** observed that the angle of repose and,therefore,the coefficient of friction for a loose assembly of the control and treated switchgrass samples decrease with decreasing hemicellulose *** indicates the frictional resistance to flow for biomass particulate assemblies is at least proportional to the hemicellulose *** also established that the observed changes in the frictional behavior were not due to particle morphological characteristics.

关键词： Lignocellulosic biomass Frictional behavior Angle of repose Hot water extraction Switchgrass Hemicellulose removal

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Characterizing Spatial Variability of soil Textural Fractions and Fractal Parameters Derived from Particle Size Distributions

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Pedosphere 2019年第2期29卷 224-234页

作者： Meysam MOHAMMADI Mahmoud SHABANPOUR Mohammad Hossein MOHAMMADI Nasser DAVATGAR department of soil science Faculty of Agriculture University of Guilan department of soil science Faculty of Agricultural Engineering and Technology University of Tehran department of soil science Research Institute of Soil and Water

soil particle size distribution(PSD) is a fundamental physical property affecting other soil properties. Characterizing spatial variability of soil texture is very important in environmental research. The objectives of this work were: 1) to partition PSD of 75 soil samples, collected from a flat field in the University of Guilan, Iran, into two scaling domains using a piecewise fractal model to evaluate the relationships between fractal dimensions of scaling domains and soil clay, silt, and sand fractions and 2) to assess the potential of fractal parameters as an index used in a geostatistical approach reflecting the spatial variability of soil texture. Features of PSD of soil samples were studied using fractal geometry, and geostatistical techniques were used to characterize the spatial variability of fractal and soil textural parameters. There were two scaling domains for the PSD of soil samples. The fractal dimensions of these two scaling domains(D_1 and D_2) were then used to characterize different ranges of soil particle sizes and their relationships to the soil textural parameters. There was a positive correlation between D_1 and clay content(R^2= 0.924), a negative correlation between D_1 and silt content(R^2= 0.801), and a negative correlation between D_2 and sand content(R^2= 0.913). The geometric mean diameter of soil particles had a negative correlation with D_1(R^2= 0.569) and D_2(R^2= 0.682). Semivariograms of fractal dimensions and soil textural parameters were calculated and the maps of spatial variation of D_1 and D_2 and soil PSD parameters were provided using ordinary kriging. The results showed that there were also spatial correlations between D_1 and D_2 and particle size *** to the semivariogram models and validation parameters, the fractal parameters had powerful spatial structure and could better describe the spatial variability of soil texture.

关键词： fractal dimension geometric mean diameter geostatistical approach physical property semivariogram model statistical correlation

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Quantitative Structure-activity Relationship Studies on the Antioxidant Activity and Gap Junctional Communication of Carotenoids

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Chinese Journal of Structural Chemistry 2010年第9期29卷 1362-1372页

作者：孙玉敬吴丹刘东红陈健初沈妍叶兴乾 department of Food science and Nutrition School of Biosystems Engineering and Food ScienceZhejiang University

The antioxidant and gap junctional communication（GJC） activities of carotenoids are known to be the two main anticancer *** structure-activity relationship（QSAR） models of the two activities were developed using stepwise regression and multilayer perceptron neural network based on the calculated descriptors of quantum *** results showed that the significant molecular descriptor related to the antioxidant activity of carotenoids was the HOMO-LUMO energy gap（EHL） and the molecular descriptor related to the GJC was the lowest unoccupied molecular orbital energy（ELUMO）.The two models of antioxidant activity both showed good predictive power,but the predictive power of the neural network QSAR model of antioxidant activity was *** addition,the two GJC models have similar,moderate predictive *** possible mechanisms of antioxidant activity and GJC of carotenoids were discussed.

关键词： carotenoids antioxidant activity gap junctional communication multilayer perceptron neural network quantitative structure-activity relationship

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GIS mapping of biogas potential from animal wastes in Bursa, Turkey

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International Journal of Agricultural and Biological engineering 2015年第1期8卷 74-83页

作者： Gokhan Ozsoy Ilknur Alibas department of soil science and Plant Nutrition Faculty of AgricultureUludag University16059 BursaTurkey department of biosystems engineering Faculty of AgricultureUludag University16059 BursaTurkey

This paper introduces biogas potential of animal waste in Bursa,an important agricultural,industrial and tourism centre in northwest *** research has focused on Bursa’s biogas potential from animal *** potential quantity of electric energy,the potential amount of biogas as well as potential bio-electric energy per capita to be obtained from animal wastes were *** the evaluation of biogas potential is conducted thoroughly,1.12% of the electricity consumption of Bursa can be met with the conversion of biogas from animal wastes into *** study also revealed that the power for 95% of street lighting,approximately twofold of the electricity consumed in official apartments and all of the agricultural irrigation operations can be provided with electrical energy obtained from biogas obtained from animal wastes in *** addition,the research efficiency was improved by creating thematic maps in GIS,which enabled differences in data among the districts to be observed more clearly.

关键词： animal waste biogas energy Bursa GIS mapping

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Integrating impedance-based growth-rate monitoring into a microfluidic cell culture platform for live-cell microscopy

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Microsystems & Nanoengineering 2018年第1期4卷 325-336页

作者： Ketki Chawla Sebastian C.Bürgel Gregor W.Schmidt Hans-Michael Kaltenbach Fabian Rudolf Olivier Frey Andreas Hierlemann ETH Zurich Department of Biosystems Science and EngineeringBio Engineering LaboratoryBaselSwitzerland ETH Zurich Department of Biosystems Science and EngineeringComputational Systems Biology GroupBaselSwitzerland

Growth rate is a widely studied parameter for various cell-based biological *** rates of cell populations can be monitored in chemostats and micro-chemostats,where nutrients are continuously ***,we present an integrated microfluidic platform that enables long-term culturing of non-adherent cells as well as parallel and mutually independent continuous monitoring of(i)growth rates of cells by means of impedance measurements and of(ii)specific other cellular events by means of high-resolution optical or fluorescence *** colonies were grown in a monolayer under culturing pads,which enabled high-resolution microscopy,as all cells were in the same focal *** cell growth and division,cells leaving the culturing area passed over a pair of electrodes and were counted through impedance *** impedance data could then be used to directly determine the growth rates of the cells in the culturing *** integration of multiple culturing chambers with sensing electrodes enabled multiplexed long-term monitoring of growth rates of different yeast strains in *** a demonstration,we modulated the growth rates of engineered yeast strains using *** results indicated that impedance measurements provide a label-free readout method to continuously monitor the changes in the growth rates of the cells without compromising high-resolution optical imaging of single cells.

关键词： impedance continuously culture

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Impedance Imaging of Cells and Tissues:Design and Applications

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Biomedical engineering Frontiers 2022年第1期3卷 219-239页

作者： Raziyeh Bounik Fernando Cardes Hasan Ulusan Mario M.Modena Andreas Hierlemann ETH Zürich Department of Biosystems Science and EngineeringBaselSwitzerland

Due to their label-free and noninvasive nature,impedance measurements have attracted increasing interest in biological *** in microfabrication and integrated-circuit technology have opened a route to using large-scale microelectrode arrays for real-time,high-spatiotemporal-resolution impedance measurements of biological *** this review,we discuss different methods and applications of measuring impedance for cell and tissue analysis with a focus on impedance imaging with microelectrode arrays in in vitro *** first introduce how electrode configurations and the frequency range of the impedance analysis determine the information that can be *** then delve into relevant circuit topologies that can be used to implement impedance measurements and their characteristic features,such as resolution and data-acquisition ***,we detail design considerations for the implementation of new impedance-imaging *** conclude by discussing future fields of application of impedance imaging in biomedical research,in particular applications where optical imaging is not possible,such as monitoring of ex vivo tissue slices or microelectrode-based brain implants.

关键词： impedance microelectrode analysis

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