Comparison of different criteria used to categorize technological quality of pork

ABSTRACT: Pork may be classified into quality categories according to its color, texture and exudation, though no international consensus criterion has been reached yet. Thus, the aim of the present paper was to examine the relation between important meat quality traits, evaluating pork quality classification of a same data by different criteria proposed in the literature. In 60 pork loins (Longissimus thoracis muscle), initial pH (pH45min) and R-value were evaluated after 45min post mortem between the 9th and 10th ribs, and ultimate pH (pH24h), objective color and water-holding capacity were evaluated 24h post mortem in two 2.54cm thick steaks cut between the 9th and 11th ribs to be classified into PSE (pale, soft and exudative), RSE (reddish-pink, soft and exudative), RFN (reddish-pink, firm and non-exudative) or DFD (dark, firm and dry) quality. Frequency distributions of quality categories differed (P<0.001) among criteria, which resulted in large variations: 3 to 68% PSE; 0 to 73% RSE; 5 to 68% RFN; 0 to 22% DFD; and 0 to 33% unclassified samples. A same sample may be classified into different quality categories according to the criterion utilized, which results in large variations in frequency distributions and also in quality attributes. Therefore, the classification of pork quality depends on the adopted criterion, which indicated the need for international standardization, so that pork quality can be determined efficiently and effectively.

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Electronic nose sensor development using ANN backpropagation for Lombok Agarwood classification

Research in Agricultural Engineering ◽

10.17221/26/2020-rae ◽

2020 ◽

Vol 66 (No. 3) ◽

pp. 97-103

Author(s):

Farel Ahadyatulakbar Aditama ◽

Lalu Zulfikri ◽

Laili Mardiana ◽

Tri Mulyaningsih ◽

Nurul Qomariyah ◽

...

Keyword(s):

Electronic Nose ◽

Gas Sensors ◽

Poor Quality ◽

Backpropagation Algorithm ◽

The Poor ◽

Quality Classification ◽

Electronic Nose System ◽

System Prototype

The aim of the present study is the development of an electronic nose system prototype for the classification of Gyrinops versteegii agarwood. The prototype consists of three gas sensors, i.e., TGS822, TGS2620, and TGS2610. The data acquisition and quality classification of the nose system are controlled by the Artificial Neural Network backpropagation algorithm in the Arduino Mega2650 microcontroller module. The testing result shows that an electronic nose can distinguish the quality of Gyrinops versteegii agarwood. The good-quality agarwood has an output of [1 –1], while the poor-quality agarwood has an output of [–1 1].

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MICROSCOPIC EXAMINATION OF WOOL FIBERS IN PRAMENKA FOR THE QUALITY CLASSIFICATION OF RAW WOOL

ВЕТЕРИНАРСКИ ЖУРНАЛ РЕПУБЛИКЕ СРПСКЕ ◽

10.7251/vetjen1902290m ◽

2020 ◽

Vol 19 (2) ◽

Author(s):

Nadžida MLAĆO ◽

Amela KATICA ◽

Velija KATICA ◽

Almira SOFTIĆ ◽

Vedad ŠAKIĆ ◽

...

Keyword(s):

Textile Industry ◽

Organic Waste ◽

Environmental Problem ◽

The Body ◽

Raw Material ◽

Wool Fibers ◽

Quality Classification ◽

Selection Of

In Bosnia and Herzegovina, Montenegro, as well as in most Balkan countries, wool is a major environmental problem. After sheep shearing, farmers usually leave the wool at the shear sites, providing poorly degradable organic waste. The purchase price of such untreated wool is as low as its quality. By this research, we have tried to draw attention, from another aspect, to the quality of wool fibers of certain parts of the body, which is ultimately very important in the textile industry and in the selection of wool for further processing. The cuticle is made from cornfied cells, flakes, located on the surface of wool fibers. One of the significant roles of the cuticle is the protective. Namely, the cuticle protects the wool fibers from various external factors, whether mechanical or physic-chemical (such as ammonia evaporation in poorly maintained facilities, etc.), which can damage the fleece and thus make it less quality. We have found some differences in the flakes position and shape in the wool fibers we investigated, depending on part of the body from which they were sampled. However, by microscopic analyses of samples taken from the root of the tail, we have found that the flakes were much smaller and finer in structure than the arrangement and appearance of the cornified flakes from the rump. In this study, we have compared the appearance and arrangement of flakes of cuticle, which is very important in assessing the quality of wool and its further use as a raw material.

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Implementasi Metode Feature Extraction pada Klasifikasi Kualitas Daun Tembakau Madura

Rekayasa ◽

10.21107/rekayasa.v10i2.3607 ◽

2017 ◽

Vol 10 (2) ◽

pp. 71

Author(s):

Kunto Aji Wibisono ◽

Achmad Fiqhi Ibadillah

Keyword(s):

Economic Value ◽

Raw Material ◽

Grading System ◽

Leaf Quality ◽

Tobacco Leaf ◽

Quality Detection ◽

Quality Classification ◽

Accuracy Level

Madura merupakan salah satu daerah penghasil tembakau di Indonseia. Tembakau Madura merupakan jenis komoditi perkebunan yang memiliki nilai ekonomi tinggi. Sebagian besar tembakau madura diserap oleh pabrik rokok sebagai bahan baku utama rokok maupun sebagai racikan atau campuran kretek. Secara umum tembakau Madura sendiri dibagi menjadi tiga bagian: tembakau gunung, tembakau tegal, dan tembakau sawah. Jenis tembakau gunung adalah yang paling diburu oleh pabrik rokok, meski produktivitasnya terbilang sangat rendah dibanding tembakau sawah. Terdapat banyak jenis varietas tembakau gunung yang ditanam petani di Madura, namun yang memiliki karakteristik khas adalah tembaku Prancak – 95. Hal ini disebabkan <a href="http://global-news.co.id/2016/04/tembakau-varietas-prancak-95-madura-diam-diam-dikembangkan-tiongkok/">Aroma tembakau Prancak-95 Madura tidak bisa ditiru oleh</a> jenis varietas tembaku lain di Indonesia. Hal lain yang membedakan yaitu terjadi karena kontur atau struktur tanah Madura yang memang khas, yang merupakan kelebihan dari tembakau Madura.Pada penelitian ini didesain sebuah sistem gradding untuk mendeteksi kualitas tembakau Prancak – 95 madura. Deteksi kualitas daun tembakau ini didasarkan pada dua ekstraksi fitur yaitu tekstur dan aromatik. Berdasarkan kedua fitur tersebut nantinya akan diklasifikasikan dengan menggunakan standard kualifikasi SNI. Sehingga level akurasi deteksi kualitas daun tembakau Madura menjadi lebih optimalKata Kunci: Image extraction, Sensor Gas, Tembakau Madura.Implementation of Feature Image Extraction on Quality Classification of Maduraness TobaccoABSTRACTMadura is one of the tobacco producing areas in Indonesian. Madura tobacco is a type of plantation commodity that has high economic value. Most tobacco Madura is absorbed by cigarette manufacturers as the main raw material of cigarettes as well as as a concoction or clove mixture. In general Madura tobacco itself is divided into three parts: mountain tobacco, tobacco tegal, and tobacco sawah. Types of mountain tobacco are the most hunted by cigarette manufacturers, although the productivity is very low compared to tobacco. There are many types of varieties of mountain tobacco grown by farmers in Madura, but which has a distinctive characteristic is the Prancak-95 tobacco. This is because the Prancak-95 Madura tobacco aroma cannot be imitated by other types of copious varieties in Indonesia. Another thing that distinguishes that occurs due to the contour or structure of Madura land that is typical, which is the advantage of Madura tobacco. In this study designed a grading system to detect the quality of Prancak tobacco - 95 madura. The tobacco leaf quality detection is based on two feature extractions, namely texture and aromatics. Based on these two features will be classified using SNI qualification standards. So that the accuracy level of Madura tobacco leaf quality detection becomes more optimalKeywords: Image extraction, Gas Sensor, Maduraness Tobacco

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Evaluation of Ground Surface Pregrouting in a Mountain Tunnel Based on FAHP

Mathematical Problems in Engineering ◽

10.1155/2019/2543584 ◽

2019 ◽

Vol 2019 ◽

pp. 1-17 ◽

Cited By ~ 1

Author(s):

Changan Zhu ◽

Runfang Sun ◽

Hua Xu ◽

Yiwei Liu ◽

Zhuang Chen

Keyword(s):

Quality Evaluation ◽

Ground Surface ◽

Field Tests ◽

Analytic Hierarchy ◽

Quality Classification ◽

Final Score ◽

Hierarchy Process ◽

Mountain Tunnel

The quality of ground surface pregrouting (GSPG) is commonly qualitatively evaluated using single factor; however, the quality evaluation involves numerous facets, and a quantitative evaluation is rare. The aim of this study was to quantitatively evaluate the quality of a GSPG based on three aspects. The fuzzy analytic hierarchy process (FAHP) was adopted to obtain the final score and quality classification of the GSPG. Based on three aspects, namely, integrity, continuity, and sturdiness, a series of field tests was also conducted, qualitatively evaluating the quality of the GSPG preliminary, to obtain the required test data and verify the FAHP results. The results of the FAHP showed that the quality of the GSPG was 86.42, which could be classified as “Good”, whereas the field tests exhibited that the GSPG was effective, thereby verifying that the FAHP was reliable. In addition, the proposed method provided a detailed comprehension of the quality evaluation of GSPG and a frame of reference for analogous engineering.

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Classification of Sediment Quality according to Its Behavior in the Accelerated Particle Wear Test (APW)

Sustainability ◽

10.3390/su13052633 ◽

2021 ◽

Vol 13 (5) ◽

pp. 2633

Author(s):

José I. Pagán ◽

Antonio J. Tenza-Abril ◽

Luis Aragonés ◽

Yolanda Villacampa ◽

Isabel López

Keyword(s):

Coastal Erosion ◽

Sediment Quality ◽

Principal Component ◽

Wear Test ◽

Wear Process ◽

Simple Tool ◽

Quality Classification ◽

Classification Index

One of the main problems faced in coastal management is the loss or destruction of beaches due to erosion. A considerable diversity of factors is involved in coastal erosion, which makes it a complex system to study. The quality of the material that constitutes the beach, as well as the choice of appropriate materials for its nourishment are two of the main ones. Therefore, to make future nourishment projects more sustainable and durable, this work proposes a sediment quality classification based on the physical properties and wear process obtained through laboratory tests. The study of these variables, using principal component analysis, discriminant analysis and ANOVA, has divided the quality of 70 samples into three main groups. A Sediment Quality Classification Index (SQCI) is proposed, which categorizes the quality of the material into poor, regular or good, providing the coastal engineer with a simple tool to ensure more sustainable beach nourishments.

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Classification of soybean tempe quality using deep learning

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/924/1/012022 ◽

2021 ◽

Vol 924 (1) ◽

pp. 012022

Author(s):

Y Hendrawan ◽

B Rohmatulloh ◽

I Prakoso ◽

V Liana ◽

M R Fauzy ◽

...

Keyword(s):

Deep Learning ◽

Classification Accuracy ◽

Low Cost ◽

Confusion Matrix ◽

Learning Rate ◽

Traditional Food ◽

Quality Classification ◽

Non Destructive

Abstract Tempe is a traditional food originating from Indonesia, which is made from the fermentation process of soybean using Rhizopus mold. The purpose of this study was to classify three quality levels of soybean tempe i.e., fresh, consumable, and non-consumable using a convolutional neural network (CNN) based deep learning. Four types of pre-trained networks CNN were used in this study i.e. SqueezeNet, GoogLeNet, ResNet50, and AlexNet. The sensitivity analysis showed the highest quality classification accuracy of soybean tempe was 100% can be achieved when using AlexNet with SGDm optimizer and learning rate of 0.0001; GoogLeNet with Adam optimizer and learning rate 0.0001, GoogLeNet with RMSProp optimizer, and learning rate 0.0001, ResNet50 with Adam optimizer and learning rate 0.00005, ResNet50 with Adam optimizer and learning rate 0.0001, and SqueezeNet with RSMProp optimizer and learning rate 0.0001. In further testing using testing-set data, the classification accuracy based on the confusion matrix reached 98.33%. The combination of the CNN model and the low-cost digital commercial camera can later be used to detect the quality of soybean tempe with the advantages of being non-destructive, rapid, accurate, low-cost, and real-time.

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Comparison of meat quality from Naïma and DanBred hybrid sows mated with P-76 boars

Ciência Rural ◽

10.1590/0103-8478cr20200125 ◽

2022 ◽

Vol 52 (1) ◽

Author(s):

Andrzej Zybert ◽

Krystian Tarczyński ◽

Halina Sieczkowska ◽

Krzysztof Młynek

Keyword(s):

Comparative Analysis ◽

Meat Quality ◽

Environmental Conditions ◽

Lactate Concentration ◽

Drip Loss ◽

Post Mortem ◽

Technological Quality ◽

Imf Content

ABSTRACT: The objective of this study was the comparative analysis of selected attributes of nutritional and technological quality of pork from Naïma and DanBred gilts mated with P-76 boars. The research was carried on 50 pigs (25 in each group) reared under the same environmental conditions and slaughtered at about 115±5.0 kg. Both analyzed crossbreds populations were characterized by overall good nutritional and technological quality. However the loins from DanBred×P-76 compared with those from Naïma×P-76 had significantly greater glycogen and less lactate concentration in early post mortem period, higher pH at all measurement points (besides no statistical differences in pH measured 2 hours post mortem), lower thermal drip and drip loss measured 96 and 144 hours post mortem and lower lightness (except no differences measured 48 hours post mortem). Additionally loins from DanBred×P-76 contained more protein and less water. No statistical differences in IMF content between both analysed groups were noted (their average values were below 2%). Aforementioned may suggest that crossing both Naïma and DanBred hybrids with P-76 boars may not improve IMF content or increase marbling scores to the levels preferred for culinary purposes.

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PHYSICAL AND TECHNOLOGICAL QUALITY OF CORN KERNELS DURING STORAGE AS A FUNCTION OF PRE-CLEANING

Revista Brasileira de Milho e Sorgo ◽

10.18512/rbms2020v19e1159 ◽

2020 ◽

Vol 19 ◽

pp. 14

Author(s):

MILENA ANA ZAMBIASI ◽

PAULO RICARDO DE JESUS RIZZOTTO JÚNIOR ◽

RAFAEL GOMES DIONELLO ◽

LAURI LOURENÇO RADUNZ ◽

INDIANARA MULLER

Keyword(s):

Moisture Content ◽

Total Production ◽

Stored Grain ◽

Bulk Storage ◽

Technological Quality ◽

Combine Harvester ◽

Stored Grain Pests ◽

Corn Kernels

Maize is the most cultivated and consumed cereal in Brazil, which is the world’s third largest producer of this grain. Estimated losses due to pest attack, especially pest insects and fungi, represent approximately 10% of the total production. The pre-cleaning phase allows the reduction of foreign matters and impurities (IM) present in the grains, which are used as food and shelter for stored grain pests. The aim of this work was to evaluate the effect of pre-cleaning on the physical and technological quality of corn kernels, during bulk storage in a silo-dryer. The grains were harvested with a combine harvester, at a moisture content of around 17% and 0.84% of IM. Part of the grains was submitted to pre-cleaning and subsequently stored in a silo, while the other part was directly stored in a silo-dryer. After pre-cleaning, the grains were sent to the silo-dryer with 0.12% of IM. Drying was carried out by blowing natural air through the grain and the process was completed when the grains reached approximately 12% moisture content. It was concluded that pre-cleaning provided lower hygroscopic equilibrium moisture, reduced the presence of insect damaged grains, and improved the technological classification of grains during storage.

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Effects of Housing, Short Distance Transport and Lairage on Meat Quality of Finisher Pigs

Animals ◽

10.3390/ani10050788 ◽

2020 ◽

Vol 10 (5) ◽

pp. 788 ◽

Cited By ~ 1

Author(s):

Bert Driessen ◽

Sanne Van Beirendonck ◽

Johan Buyse

Keyword(s):

Meat Quality ◽

Quality Parameters ◽

Farm Management ◽

Pork Quality ◽

Post Mortem ◽

Climate Parameters ◽

Distance Transport ◽

Unloading Time ◽

Fattening Pigs

Transport and associated handling can have adverse effects on pig welfare and meat quality. The purpose of the study was to determine (the variation of) effects of farm management, climate parameters, transport and lairage conditions on the meat quality of fattening pigs, heterozygous for the halothane gene. A total of 4763 fattening pigs were transported from 1 farm to a commercial slaughterhouse (distance 110 km) in 121 transports. From 2404 carcasses, carcass temperature and pH were measured 45 min post-mortem; 48 hours post-mortem pH, electrical conductivity, drip loss and meat color were registered. During the raising period sex, conditions at weaning (purchased or not as piglet, vaccination against mycoplasma) and (type of) pen during fattening (i.e., from about 22 kg to 105 kg) were registered to relate with pork quality. Transport season, weather parameters, regrouping or not during loading, transport combination (truck, trailer and driver), transport compartment and transport conditions (loading density, transport duration and unloading time) were monitored. At the slaughterhouse, duration of lairage and carcass conformation were followed up to examine correlations with meat quality parameters. Effects of farm management, climate parameters during transport, transport and slaughterhouse conditions on pork quality were demonstrated. Specifically, reducing lung lesions by vaccination during raising, no mixing of pigs during the transport process, sufficient lairage time and transporting no extreme muscled pigs can improve meat quality.

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Biosensors in evaluation of quality of meat and meat products – a review

Annals of Animal Science ◽

10.2478/aoas-2020-0057 ◽

2020 ◽

Vol 0 (0) ◽

Author(s):

Barbara Sionek ◽

Wiesław Przybylski ◽

Krzysztof Tambor

Keyword(s):

Meat Products ◽

Pork Quality ◽

Beef Tenderness ◽

Current State ◽

The Future ◽

Conventional Methods

AbstractBiosensors can find application in meat and meat products testing for safety, including microbial and other contaminants, and quality, including meat freshness, beef tenderness and pork quality defects. The available biosensors enable the evaluation of freshness, the classification of tenderness of meat products, the evaluation of the glycolysis extent and the presence of the microbial and other contaminants. Since biosensors depend on receptor types, the expansion of knowledge on metabolic transformations occurring in meat contributes to the development of new potential markers and indicators. Examples include assays for glucose, lactates, hypoxanthines, calpastastins, microbial and other contaminants in meat products, augmenting conventional methods. At the same time, biosensors rely on transducers for detection, requiring achievement in many fields including, nanotechnology and optics, among others. Biosensors have potential to become a fundamental tool for monitoring and controlling safety and quality of meat products in the future. Hence the aim of the present paper is to present the current state of knowledge on the application of biosensors in meat.

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