scholarly journals Quality and Defect Inspection of Green Coffee Beans Using a Computer Vision System

2019 ◽  
Vol 9 (19) ◽  
pp. 4195 ◽  
Author(s):  
García ◽  
Candelo-Becerra ◽  
Hoyos

There is an increased industry demand for efficient and safe methods to select the best-quality coffee beans for a demanding market. Color, morphology, shape and size are important factors that help identify the best quality beans; however, conventional techniques based on visual and/or mechanical inspection are not sufficient to meet the requirements. Therefore, this paper presents an image processing and machine learning technique integrated with an Arduino Mega board, to evaluate those four important factors when selecting best-quality green coffee beans. For this purpose, the k-nearest neighbor algorithm is used to determine the quality of coffee beans and their corresponding defect types. The system consists of logical processes, image processing and the supervised learning algorithms that were programmed with MATLAB and then burned into the Arduino board. The results showed this method has a high effectiveness in classifying each single green coffee bean by identifying its main visual characteristics, and the system can handle several coffee beans present in a single image. Statistical analysis shows the process can identify defects and quality with high accuracy. The artificial vision method was helpful for the selection of quality coffee beans and may be useful to increase production, reduce production time and improve quality control.

Jurnal NERS ◽  
2017 ◽  
Vol 9 (1) ◽  
pp. 26 ◽  
Author(s):  
Joko Setyono ◽  
Dwi Adi Nugroho ◽  
Mustofa Mustofa ◽  
Saryono Saryono

Introduction: Obesity prevalence is estimated increases, reached 19.1% of the population aged 15 years and over. This study aimed to determine the differences of the anti- obesity effect of orlistat, an extract of green coffee beans (Coffea canephora robusta), and its combination to the adiponectin levels and lipid profi le. Method: This research was true experimental post -test only with control group design with completely randomized design (CRD). Experimental animals (Rattus novergicus) were divided into 6 group, group 1 ( negative control ), group 2 ( positive control ), group 3 was group of obese rats fed orlistat dose of 15.9 mg/kg, group 4 was the group of obese rats were fed ethanol extract of green coffee beans dose of 400 mg/kg, group 5 was the group of obese rats were given water extract of green coffee beans dose of 400 mg/kg, and group 6 was group of obese rats were fed a combination of orlistat dose of 15.9 mg/kgand ethanol extract of green coffee beans at a dose of 400 mg/kg. Lipid profi les and adiponectin levels were measured with a spectrophotometer at 500nm absorbance. The data were analyzed by one-way ANOVA, and then post hoc Least Significant Difference (LSD) with α = 0.05. Result: Ethanol extract of green coffee is more effi cient in lowering LDL cholesterol, increasing HDL cholesterol, and lowering the total cholesterol levels on HFD diet-induced mice, but there was no difference in lowering triglycerides . The combination of ethanol extract of green coffee with orlistat showedthe increasing of adiponectin levels were highest than the other treatment groups. Discussion: The ethanol extract of green coffee readily diffuses through the digestive tract epithelium. Green coffee contains chlorogenic acid active compounds that can increase the body’s metabolism, increase fatty acid oxidation, reduce levels of triglycerides in the liver, and working to inhibit lipase and amylase pancreaticenzymes. In addition to chlorogenic acid, polyphenol content in coffee is also potentially reduce visceral fat accumulation. Preparations extract by ethanol allows the absorption process is done effi ciently and quickly.Keywords: obesity, orlistat, greencoffee, lipid profi le, adiponectin


1983 ◽  
Vol 46 (11) ◽  
pp. 969-973 ◽  
Author(s):  
PHILIP B. MISLIVEC ◽  
VERNEAL R. BRUCE ◽  
REGINA GIBSON

The mold flora of 944 green coffee bean samples from 31 coffee-producing countries was determined before and after surface disinfection with 5% NaOCl. Molds were detected on 99.1 % of 47,200 beans not surface-disinfected and in 47.9% of 47,200 disinfected beans. Although the percentage of differences in occurrence of mold before disinfection was minimal (93.4 to 100%) on a country-by-country basis, after disinfection the beans from Asiatic and African countries showed more internal invasion (80.5%) than those from Central and South America (49.4%). Aspergillus spp., which dominated the mold flora of 944 samples before and after disinfection, included the toxigenic A. ochraceus, A. flavus and A. versicolor as well as A. niger, A. tamarii, A. wentii and species of the A. glaucus group. The genus Penicillium, including the toxigenic P. cyclopium, P. citrinum and P. expansum, was detected regularly, although its occurrence was substantially lower than that of the aspergilli, especially after surface disinfection. The rare detection of Alternaria and Fusarium indicated that toxigenic species of these genera do not readily invade green coffee beans. A. flavus and A. tamarii were prevalent in Central and South American beans, whereas other aspergilli were prevalent in Asiatic and African beans. The penicillia were prevalent in Central and South American beans.


2020 ◽  
Vol 24 (1) ◽  
pp. 39-48
Author(s):  
Yishak Worku Wondimkun ◽  
Shimelis Admassu Emire ◽  
Tarekegn Berhanu Esho

AbstractEthiopia is known for its specialty Arabica coffees affected by mix-up. Physical and sensory properties of dry processed green coffee beans have been reported for the influence on the sensorial quality and coffee process optimization. The aim of this study was to investigate physical and sensory properties of sixteen varieties and to determine relationship of attributes. Physical properties of coffee beans were taken by measuring linear dimensions, densities and weight. Moreover, professional cuppers were analyzed sensory properties by using standard procedures. In this study, the longest (10.40 mm), the widest (6.82 mm) and the thickest (4.48 mm) varieties were Odicha, Feyate and Challa, respectively whereas the shortest (8.28 mm), narrowest (5.59 mm) and thinnest (3.52 mm) were 74110, Mocha and Bultum, respectively. The shape & make value of variety Bultum was “fair good” whereas variety Feyate was “very good”. Furthermore, the results of “shape & make” were significantly correlated with measured physical properties. The results indicate that most physical and sensory properties of coffee varieties have significant (P ≤ 0.05 differences. These properties were influenced by growing regions and variety difference. The outcome of this study can be used for coffee bean characterization and process optimization to improve beverage quality.


2020 ◽  
Vol 11 (1) ◽  
pp. 233-240 ◽  
Author(s):  
Bothiraj K V ◽  
Murugan ◽  
Vanitha V

All around the world, Coffee place an important position in the beverages. It contains phenolic acid as well as polyphenols. It has the property of antioxidant; mood enhances mood, and also increases alertness, reduces weight, efficiency against hypertension, and antitumor property because of its polyphenols and phenolic constituents. Chlorogenic acids (CGA) are the main components found in the fraction of phenols from green coffee beans. CGA has several therapeutic properties, which include antioxidant activities and also has hepatoprotective, hypoglycemic, and antiviral properties.  Several essential compounds found in CGA in green coffee beans are caffeoylquinic acids, caffeoylquinic acids, feruloyl quinic acids, p-coumaroylquinic acids, and quinic acid. Therefore, this review highlighted the health benefits and anticancer activities of Green coffee bean.


1969 ◽  
Vol 43 (2) ◽  
pp. 128-131
Author(s):  
D. S. Boyce

It has been shown that the methods utilized to process coffee cherries to dry coffee parchment affect to a considerable extent the ease with which the silver skin may be removed from the green coffee bean subsequently. Natural fermentation is significantly more effective at the 0.01 probability level in producing a sample with an easily removable silver skin than mechanical demucilaging with the Hess machine. Artificial drying produces a sample from which the silver skin can be more easily removed than natural drying at the 0.05 probability level. Furthermore, there was significance at the 0.01 probability level when the interaction between the two main effects of drying and demucilaging were considered. In considering the interaction of the two main effects it was found that natural fermentation combined with artificial (rotary-drier) drying produced the most favorable results. It was significantly greater than any of the other three possible combinations at the 0.01-percent probability level and there was no significant difference between the latter three. This lack of significance may be attributed, in part, to possible negative interaction between the two main effects, that is, in certain combinations the two main effects may have the effect of causing the silver skin to adhere tenaciously to the bean.


2019 ◽  
Vol 85 (6) ◽  
Author(s):  
Sophia Jiyuan Zhang ◽  
Florac De Bruyn ◽  
Vasileios Pothakos ◽  
Julio Torres ◽  
Carlos Falconi ◽  
...  

ABSTRACTA cup of coffee is the final product of a complex chain of operations. Wet postharvest processing of coffee is one of these operations, which involves a fermentation that inevitably has to be performed on-farm. During wet coffee processing, the interplay between microbial activities and endogenous bean metabolism results in a specific flavor precursor profile of the green coffee beans. Yet, how specific microbial communities and the changing chemical compositions of the beans determine the flavor of a cup of coffee remains underappreciated. Through a multiphasic approach, the establishment of the microbial communities, as well as their prevalence during wet processing ofCoffea arabica, was followed at an experimental farm in Ecuador. Also, the metabolites produced by the microorganisms and those of the coffee bean metabolism were monitored to determine their influence on the green coffee bean metabolite profile over time. The results indicated that lactic acid bacteria were prevalent well before the onset of fermentation and that the fermentation duration entailed shifts in their communities. The fermentation duration also affected the compositions of the beans, so that longer-fermented coffee had more notes that are preferred by consumers. As a consequence, researchers and coffee growers should be aware that the flavor of a cup of coffee is determined before as well as during on-farm processing and that under the right conditions, longer fermentation times can be favorable, although the opposite is often believed.IMPORTANCECoffee needs to undergo a long chain of events to transform from coffee cherries to a beverage. The coffee postharvest processing is one of the key phases that convert the freshly harvested cherries into green coffee beans before roasting and brewing. Among multiple existing processing methods, the wet processing has been usually applied for Arabica coffee and produces decent quality of both green coffee beans and the cup of coffee. In the present case study, wet processing was followed by a multiphasic approach through both microbiological and metabolomic analyses. The impacts of each processing step, especially the fermentation duration, were studied in detail. Distinct changes in microbial ecosystems, processing waters, coffee beans, and sensory quality of the brews were found. Thus, through fine-tuning of the parameters in each step, the microbial diversity and endogenous bean metabolism can be altered during coffee postharvest processing and hence provide potential to improve coffee quality.


2021 ◽  
Author(s):  
Phanwimol Tanhan ◽  
Paphatsara Khunlert ◽  
Amnart Poapolathep ◽  
Saranya Poapolathep ◽  
Kanjana Imsilp

The study was conducted on 50 samples of coffee beans from various origins. The samples included green coffee beans, roasted beans, brew coffee drinks and coffee sludge. Three processes were used to prepare these samples: dried, semi-washed, and washed. Three synthetic pyrethroid insecticides and nine heavy metals were subsequently analyzed using modified Quick, Easy, Cheap, Effective, Rugged and Safe (QuEChERS) and acid digestion methods, respectively. The quantification of pyrethroids was performed by GC-µECD whereas those of metals were determined using flame atomic absorption spectrophotometer. According to the results, concentrations of both pyrethroids and heavy metals were predominantly found in green coffee beans except for Cr. Pyrethroid insecticides were not detectable in brew coffee drink and heavy metal concentrations were below the acceptable daily intake (ADI) level. Risk estimations for daily coffee intake using the health risk indices (HRIs) and target hazard quotients (THQs) of normal and the 97.5 percentile Thai consumers were less than 1. This indicated that the coffee drinks from studied samples could not cause potential health risk.


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