Predicting liquid loss of frozen and thawed cod from hyperspectral imaging

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Early identification of mushy Halibut syndrome with hyperspectral image analysis

Mushy Halibut Syndrome (MHS) is a condition that appears in Greenland halibut and manifests itself as abnormally opaque, flaccid and jelly-like flesh. Fish affected by this syndrome show poor meat quality, which results in negative consequences for the fish industry. The research community has not carefully investigated this condition, nor novel technologies for MHS detection have been proposed. In this research work, we propose using hyperspectral imaging to detect MHS. After collecting a dataset of hyperspectral images of halibut affected by MHS, two different goals were targeted. Firstly, the estimation of the chemical composition of the samples (specifically fat and water content) from their spectral data by using constrained spectral unmixing. Secondly, supervised classification using partial least squares discriminant analysis (PLS-DA) was evaluated to identify specimens affected by MHS. The outcomes of our study suggest that the prediction of fat from the spectral data is possible, but the prediction of the water content was not found to be accurate. However, the detection of MHS using PLS-DA was precise for hyperspectral images from both fillets and whole fish, with lower bounds of 75% and 83% for precision and recall, respectively. Our findings suggest hyperspectral imaging as a suitable technology for the early screening of MHS.Early identification of mushy Halibut syndrome with hyperspectral image analysispublishedVersio

Early identification of mushy Halibut syndrome with hyperspectral image analysis

Mushy Halibut Syndrome (MHS) is a condition that appears in Greenland halibut and manifests itself as abnormally opaque, flaccid and jelly-like flesh. Fish affected by this syndrome show poor meat quality, which results in negative consequences for the fish industry. The research community has not carefully investigated this condition, nor novel technologies for MHS detection have been proposed. In this research work, we propose using hyperspectral imaging to detect MHS. After collecting a dataset of hyperspectral images of halibut affected by MHS, two different goals were targeted. Firstly, the estimation of the chemical composition of the samples (specifically fat and water content) from their spectral data by using constrained spectral unmixing. Secondly, supervised classification using partial least squares discriminant analysis (PLS-DA) was evaluated to identify specimens affected by MHS. The outcomes of our study suggest that the prediction of fat from the spectral data is possible, but the prediction of the water content was not found to be accurate. However, the detection of MHS using PLS-DA was precise for hyperspectral images from both fillets and whole fish, with lower bounds of 75% and 83% for precision and recall, respectively. Our findings suggest hyperspectral imaging as a suitable technology for the early screening of MHS.Early identification of mushy Halibut syndrome with hyperspectral image analysispublishedVersio

Characterization of vasskveite (water halibut) syndrome for automated detection

In recent years, cases of vasskveite (water halibut) syndrome in halibut have been increasing. At the moment, there exists no way to screen for the syndrome immediately after capture, which is problematic for both exporters and purchasers. In this article, we compared good quality halibut and halibut exhibiting the syndrome using a variety of techniques. Hyperspectral imaging was used to quantify the relative amounts of fat and water in the tissue. Diffusion tensor imaging was used to characterize tissue structure. Histology was performed to provide direct visual characterization of the tissue. Results indicate the muscle fibers in afflicted fish exhibit disordered growth and the tissue is lacking in fat. These results are in line with the current theory that the syndrome stems from a nutritional deficiency in the halibut diet. Hyperspectral imaging appears to be a promising technology to rapidly identify afflicted halibut immediately after capture

EFEKTIVITAS METODE PEMBELAJARAN VISUAL, AUDITORY, KINESTETHIC (VAK) TERHADAP KEMAMPUAN BERFIKIR KREATIF MATEMATIK SISWA SEKOLAH DASAR

Penelitian yang dilaksanakan adalah menerapkan metode pembelajaran Visual,Auditory,Kinestethic (VAK) pada mata pelajaran matematika materi perbandingan dan skala pada siswa kelas V Sekolah Dasar. Kemampuan siswa yang diujikan pada penelitian ini adalah kemampuan berfikir kreatif matematik siswaSD. Tujuan dilaksanakannya penelitian ini adalah untuk mengetahui pengaruh metode pembelajaran VAK terhadap kemampuan berfikir kreatif matematik siswa SD. Dari sanalah diketahui keefektifan dari metode tersebut. Penelitian ini dilaksanakan dengan alasan diinginkannya para siswa dapat belajar dengan baik dengan menggunakan beberapa modalitas kecerdasan yang mereka miliki, yaitu visual, auditoris dan kinestetiknya. Hal ini dinyatakan dengan alasan bahwa seringkali siswa mendapat aktivitas pembelajaran tidak dengan memodifikasikan kemampuan yang mereka miliki. Terkadang, mereka hanya menggunakan kecerdasan auditorisnya saja, atau visual saja. Padahal, di kelas setiap siswa memiliki kecerdasan yang berbeda-beda porsinya. Dengan memodifikasikan tiga kecerdasan ini, maka seluruh siswa akan terpenuhi kebutuhannya selama pembelajaran. Tidak cenderung ke salah satu kecerdasan saja. Semua itu tergantung dari bagaimana guru menyiapkan materi pembelajaran di kelas. Merencanakan pembelajaran yang baik berarti merencakan keberhasilan siswa dalam mendapatkan pembelajaran yang bermakna. Metode penelitian yang digunakan adalah metode eksperimen kuasi. Berdasarkan penelitian ini, didapat temuan bahwa dengan menggunakan metode pembelajaran VAK pada materi skala siswa kelas V SD, terdapat pengaruh metode tersebut terhadap kemampuan berfikir kreatif matematik siswa SD. Terlihat dari adanya peningkatan hasil belajar siswa anatara pretest dan posttestnya. Dengan adanya pengaruh tersebut, dapat diartikan Metode VAK efektif digunakan di kelas V SD pada materi perbandingan dan skala

Effect of Codend Design and Postponed Bleeding on Hemoglobin in Cod Fillets Caught by Bottom Trawl in the Barents Sea Demersal Fishery

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Perspective Chapter: Hyperspectral Imaging for the Analysis of Seafood

Hyperspectral imaging technology is able to provide useful information about the interaction between electromagnetic radiation and matter. This information makes possible chemical characterization of materials in a non-invasive manner. For this reason, the technology has been of great interest for the food industry in recent decades. In this book chapter, we provide a survey of the current status of the use of hyperspectral technology for seafood evaluation. First, we provide a brief description of the optical properties of tissue and an introduction to the instrumentation used to capture these images. Then, we survey the main applications of hyperspectral imaging in the seafood industry, including the quantification of different chemical components, the estimation of freshness, the quality assessment of seafood products, and the detection of nematodes, among others. Finally, we provide a discussion about the current state of the art and the upcoming challenges for the application of this technology in the seafood industry

Raman spectroscopy and NIR hyperspectral imaging for in-line estimation of fatty acid features in salmon fillets

Raman spectroscopy was compared with near infrared (NIR) hyperspectral imaging for determination of fat composition (%EPA + DHA) in salmon fillets at short exposure times. Fillets were measured in movement for both methods. Salmon were acquired from several different farming locations in Norway with different feeding regimes, representing a realistic variation of salmon in the market. For Raman, we investigated three manual scanning strategies; i) line scan of loin, ii) line scan of belly and iii) sinusoidal scan of belly at exposure times of 2s and 4s. NIR images were acquired while the fillets moved on a conveyor belt at 40 cm/s, which corresponds to an acquisition time of 1s for a 40 cm long fillet. For NIR images, three different regions of interest (ROI) were investigated including the i) whole fillet, ii) belly segment, and iii) loin segment. For both Raman and NIR measurements, we investigated an untrimmed and trimmed version of the fillets, both relevant for industrial in-line evaluation. For the trimmed fillets, a fat rich deposition layer in the belly was removed. The %EPA + DHA models were validated by cross validation (N = 51) and using an independent test set (N = 20) which was acquired in a different season. Both Raman and NIR showed promising results and high performances in the cross validation, with R2CV = 0.96 for Raman at 2s exposure and R2CV = 0.97 for NIR. High performances were obtained also for the test set, but while Raman had low and stable biases for the test set, the biases were high and varied for the NIR measurements. Analysis of variance on the squared test set residuals showed that performance for Raman measurements were significantly higher than NIR at 1% significance level (p = 0.000013) when slope-and-bias errors were not corrected, but not significant when residuals were slope-and-bias corrected (p = 0.28). This indicated that NIR was more sensitive to matrix effects. For Raman, signal-to-noise ratio was the main limitation and there were indications that Raman was close to a critical sample exposure time at the 2s signal accumulation.publishedVersio

Effect of the T90-codend on the catch quality of cod (Gadus morhua) compared to the conventional codend configuration in the Barents Sea bottom trawl fishery

The aim of this study was to compare the catch quality of Northeast Atlantic cod (Gadus morhua) in the Barents Sea bottom trawl fishery caught using the conventional configuration (a sorting grid followed by a diamond mesh (T0) codend) and a T90° turned mesh codend (T90) without a grid. Twenty hauls were conducted, consisting of 10 hauls with the conventional configuration and 10 hauls with the T90-codend. The catch quality was assessed using the catch-damages-index (CDI) and a newly developed method using VIS/NIR hyperspectral imaging to estimate the residual blood abundances in the fish muscle. The probability of obtaining fish with no damage was 23.4% (CI: 16.3–31.1%) for cod captured by the conventional configuration, and 21.2% (CI: 15.4–27.2%) for cod captured by the T90-codend. The average blood abundance (in arbitrary unit) was 0.86 (CI: 0.85–0.87) for cod captured by the conventional configuration and 0.88 (CI: 0.87–0.88) for cod captured by the T90-codend. Catch quality of the hauls obtained using the two gears did not differ significantly in terms of catch damage or residual blood levels in the cod. Hence, this study demonstrated that T90-codends do not compromise catch quality compared to regular diamond meshed codends.publishedVersio

Applications of hyperspectral imaging for documenting smoltification status and welfare in Atlantic salmon

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