2023/10/04 更新

写真a

マ トク
馬 特
MA Te
所属
大学院生命農学研究科 特任講師
職名
特任講師
連絡先
メールアドレス

学位 1

  1. 博士(農学) ( 2018年3月   名古屋大学 ) 

現在の研究課題とSDGs 1

  1. 分光イメージング手法による農産物の非破壊品質評価

経歴 2

  1. 名古屋大学   大学院生命農学研究科 数理・ データサイエンス・AI 教育推進事業   特任講師

    2022年10月 - 現在

  2. 名古屋大学   大学院生命農学研究科 名古屋大学・カセサート大学国際連携生命農学専攻   特任助教

    2018年4月 - 2022年9月

学歴 3

  1. 名古屋大学   農学研究科   生物圏資源学専攻

    - 2018年3月

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    国名: 日本国

  2. 名古屋大学   農学研究科

    - 2015年3月

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    国名: 日本国

  3. 名古屋大学   農学部

    - 2013年3月

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    国名: 日本国

所属学協会 2

  1. 近赤外研究会   会員

  2. 日本木材学会   会員

受賞 5

  1. NIR Advance Award

    2018年11月   近赤外研究会  

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    受賞区分:国際学会・会議・シンポジウム等の賞  受賞国:日本国

  2. 優秀ポスター賞

    2017年3月   日本木材学会  

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    受賞区分:国際学会・会議・シンポジウム等の賞  受賞国:日本国

  3. Best Poster Award

    2016年11月   Asian NIR Consortium  

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    受賞区分:国内外の国際的学術賞  受賞国:日本国

  4. Student Travel Award

    2014年11月   近赤外研究会  

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    受賞区分:国内学会・会議・シンポジウム等の賞  受賞国:日本国

  5. 卒業論文最優秀発表賞

    2013年2月   名古屋大学農学部生物環境科学科  

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    受賞国:日本国

 

論文 36

  1. Validation study on light scattering changes in kiwifruit during postharvest storage using time‑resolved transmittance spectroscopy 査読有り

    Te Ma, Tetsuya Inagaki, Satoru Tsuchikawa

    Scientific Reports   13 巻 ( 16556 )   2023年10月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)  

    DOI: https://doi.org/10.1038/s41598-023-43777-5

  2. Development of a sensitivity-enhanced chlorophyll fluorescence lifetime spectroscopic method for nondestructive monitoring of fruit ripening and postharvest decay 査読有り

    Te Ma, Tetsuya Inagaki, Satoru Tsuchikawa

    Postharvest Biology and Technology     2023年1月

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    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)  

    DOI: 10.1016/j.postharvbio.2022.112231

  3. Review of near infrared hyperspectral imaging applications related to wood and wood products 査読有り 国際共著

    Laurence Schimleck, Te Ma, Tetsuya Inagaki, Satoru Tsuchikawa

    Applied Spectroscopy Reviews     2022年7月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)  

    DOI: 10.1080/05704928.2022.2098759

  4. Cognitive spectroscopy for the classification of rice varieties: A comparison of machine learning and deep learning approaches in analysing long-wave near-infrared hyperspectral images of brown and milled samples 査読有り 国際共著

    Infrared Physics and Technology   123 巻   2022年6月

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    記述言語:日本語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Infrared Physics and Technology  

    Rapid and non-destructive detection of genuine Thai Jasmine rice (Khao Dawk Mali 105 (KDML105)) from Pathum Thani1 (PTT1) and Phitsanulok2 (PSL2) under either milled or brown conditions is required to disrupt fraudulent. This study aimed to resolve this real issue using long-wave near infrared hyperspectral imaging (NIR-HSI) coupled with machine learning and deep learning approaches. The best classification accuracy for the milled rice was achieved using the spectral imaging-based analysis on the NIR-HSI data with selected wavelength, approximately 95% for the test set either by convolutional neural network or support vector machine (SVM), whereas for the brown rice, the SVM model based on the averaged NIR spectra could achieve the best classification accuracy of 95.4%. It suggests the chemical component difference and its spatial distribution in the milled rice could contribute higher classification accuracy. Additionally, the surface bran effects of brown rice could be reduced by using averaged spectral data coupled with the SVM method.

    DOI: 10.1016/j.infrared.2022.104100

    Scopus

  5. Comparative Performance of NIR-Hyperspectral Imaging Systems 査読有り 国際共著

    Te Ma, Laurence Schimleck, Joseph Dahlen, Seung-Chul Yoon, Tetsuya Inagaki, Satoru Tsuchikawa, Anna Sandak, Jakub Sandak

    foundations     2022年6月

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    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)  

    DOI: 10.3390/foundations2030035

  6. Experimental study and three-dimensional modeling of moisture transport in wood by means of near-infrared hyperspectral imaging coupled with a heat and mass transfer simulation method 査読有り

    Te Ma, Genki Morita, Tetsuya Inagaki, Satoru Tsuchikawa

    Holzforschung   76 巻 ( 8 )   2022年5月

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    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)  

    DOI: 10.1515/hf-2021-0203

  7. Rapid and nondestructive prediction of firmness, soluble solids content, and pH in kiwifruit using Vis–NIR spatially resolved spectroscopy 査読有り

    Ma T., Zhao J., Inagaki T., Su Y., Tsuchikawa S.

    Postharvest Biology and Technology   186 巻   2022年4月

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    記述言語:日本語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Postharvest Biology and Technology  

    This paper reports an evaluation of firmness, soluble solids content (SSC), and acidity (pH) in kiwifruit using a newly designed visible–near-infrared (Vis–NIR) spatially resolved spectroscopic (SRS) system. The system mainly comprises a cost-effective Vis–NIR hyperspectral imaging camera, a halogen light source, and 36 light-receiving silica fibers which were divided into six groups (1, 2, 3, 4, 5, and 10 mm away from the light illumination) used to collect diffusely reflected light from sample surface. During the experiment, time-resolved spectroscopy (TRS) was used to validate the light scattering characteristics at a single wavelength of 846 nm by transmission measurement, which differed from the reflectance measurement of the SRS system. The TRS results show that firmer kiwifruits tended to have a lower transmitted light intensity and a higher full width at half maximum value. The SRS results indicate that the reflected light intensity decreased more with an increased distance from the illumination spot in firmer kiwifruits. The results of the two methods supported the same view, i.e., firmer kiwifruit indicated higher degrees of light scattering inside. Following on, the calibration models for kiwifruit properties were constructed using the SRS data coupled with partial least squares regression analysis. Finally, the prediction accuracies were benchmarked against standard diffuse reflectance spectroscopy using one fiber group position of the same SRS system. The overall results showed the benefits of using the SRS system to predict fruit firmness by enhancing light scattering effects and predicting the SSC required for reducing such effects.

    DOI: 10.1016/j.postharvbio.2022.111841

    Scopus

  8. Production of Nanocellulose Film from Abaca Fibers 招待有り 査読有り 国際共著

    Anniver Ryan Lapuz, Satoru Tsuchikawa, Tetsuya Inagaki, Te Ma, Veronica Migo

    Crystals   12(5) 巻 ( 601 )   2022年4月

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    記述言語:英語  

    DOI: 10.3390/cryst12050601

  9. Application of near-infrared spectroscopy to agriculture and forestry. 査読有り

    Tsuchikawa S, Ma T, Inagaki T

    Analytical sciences : the international journal of the Japan Society for Analytical Chemistry     2022年3月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)  

    DOI: 10.1007/s44211-022-00106-6

    PubMed

  10. Moisture transport dynamics in wood during drying studied by long-wave near-infrared hyperspectral imaging 査読有り

    Ma Te, Morita Genki, Inagaki Tetsuya, Tsuchikawa Satoru

    CELLULOSE   29 巻 ( 1 ) 頁: 133 - 145   2022年1月

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    記述言語:日本語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Cellulose  

    The complexities of wood microstructure cause difficulties in understanding water movement characteristics during drying. Here, the water transport dynamics in softwood (Japanese cypress) with different sample lengths (30 mm, 60 mm, and 90 mm) and various drying temperatures (30 °C, 60 °C, and 90 °C) were studied using a rapid and high-resolution moisture content (MC) mapping method based on long-wave near-infrared hyperspectral imaging (NIR-HSI). The observations of this study are as follows: slow drying at approximately 30 °C, the area near the subsurface of the wood samples tends to have higher MC than the central parts during drying, especially in the case of longer wood samples. For drying at higher temperatures, strongly bonded water appeared at the surface areas much earlier, which could easily cause sample deformation and cracking. Overall, the experimental results suggest the capillary effects could play a major role at the first stage of slow drying at fiber level; then, the transfers between bound and free water could play a significant power source in the second drying stage. It is expected that this study will be of help in providing a basis to study and simulate the drying characteristics of cellular and hydrophilic materials.

    DOI: 10.1007/s10570-021-04290-y

    Web of Science

    Scopus

  11. Near-infrared spectroscopy and hyperspectral imaging can aid in the prediction and mapping of polyploid acacia hybrid wood properties in tree improvement programs 査読有り

    Dang Duc Viet, Ma Te, Inagaki Tetsuya, Nguyen Tu Kim, Tsuchikawa Satoru

    HOLZFORSCHUNG   75 巻 ( 12 ) 頁: 1067 - 1080   2021年12月

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    記述言語:日本語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Holzforschung  

    Acacia, including Acacia hybrids, are some of the most important species grown as part of the Vietnamese wood industry. Rapid methods to identify the variations in the wood properties of Acacia hybrids however, are a currently lacking and creating limits for their breeding programs. In this study, nine Acacia hybrid clones, including those that were diploid, triploid, and tetraploid were evaluated using near-infrared spectroscopy (NIR) and hyperspectral imaging (HSI). The standard normal variate (SNV) and second derivative (SP2D) were applied to compare the performances of NIR and HSI using partial least square regression. The HSI images were acquired at wavelengths from 1033 to 2230 nm and the SNV and SP2D described the variations in the wood properties. The NIR predicted the wood physical properties better than HSI, while they provided similar predictions for the mechanical properties. The mapping results showed low densities around the pith area and high densities near the bark. They also revealed that the air-dry moisture content changed at different positions within a disk and was dependent on its position within the tree. Overall, NIR and HSI were found to be potential wood property prediction tools, suitable for use in tree improvement programs.

    DOI: 10.1515/hf-2021-0024

    Web of Science

    Scopus

  12. Measuring the tensile strain of wood by visible and near-infrared spatially resolved spectroscopy 査読有り

    Ma Te, Inagaki Tetsuya, Yoshida Masato, Ichino Mayumi, Tsuchikawa Satoru

    CELLULOSE   28 巻 ( 17 ) 頁: 10787 - 10801   2021年11月

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    記述言語:日本語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Cellulose  

    Strain measurement is critical for wood quality evaluation. Using conventional strain gauges constantly is high cost, also challenging to measure precious wood materials due to the use of strong adhesive. This study demonstrates the correlation between the light scattering degrees inside the wood during tension testing and their macroscopic strain values. A multifiber-based visible-near-infrared (Vis–NIR) spatially resolved spectroscopy (SRS) system was designed to rapidly and conveniently acquire such light scattering changes. For the preliminary experiment, samples with different thicknesses, from 2 to 5 mm, were measured to evaluate the influence of sample thickness. The differences in Vis–NIR SRS spectral data diminished with an increase in sample thickness, suggesting that the SRS method can successfully measure the wood samples' whole strain (i.e., surface and inside). Then, for the primary experiment, 18 wood samples were each prepared with approximately the same sample thickness of 2 mm and 5 mm to construct strain calibration models, respectively. The prediction accuracy of the 2-mm samples was characterized by a determination coefficient (R2) of 0.81 with a root mean squared error (RMSE) of 343.54 με for leave-one-out cross-validation; for test validation, the validation accuracy was characterized by an R2 of 0.76 and an RMSE of 395.35 με. For the validation accuracy of the 5-mm samples, R2val was 0.69 with 440.78 με RMSEval. Overall, the presented calibration results of the SRS approach were confirmed to be superior to the standard diffuse reflectance spectroscopy.

    DOI: 10.1007/s10570-021-04239-1

    Web of Science

    Scopus

  13. Modal Analysis and Experiment of a Lycium barbarum L. Shrub for Efficient Vibration Harvesting of Fruit 査読有り

    Zhao Jian, Tsuchikawa Satoru, Ma Te, Hu Guangrui, Chen Yun, Wang Zhiwei, Chen Qingyu, Gao Zening, Chen Jun

    AGRICULTURE-BASEL   11 巻 ( 6 )   2021年6月

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    記述言語:日本語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Agriculture (Switzerland)  

    The most common harvesting method of Lycium barbarum L. (L. barbarum) is manual harvesting, resulting in low efficiency and high cost. Meanwhile, the efficiency of vibration harvesting, which is considered an efficient mechanical harvesting method, can be significantly improved if the optimized resonance frequency of the shrub can be obtained. To vibration harvest fruit efficiently, a 3D model of the shrub was established based on measurements of the shape parameters, and material mechanics models of the branches were established based on physical tests. The modal analysis of the shrub based on finite element method (FEM) simulation was performed to obtain the range of resonance frequency, and the modal experiment of the shrub using acceleration sensors and an impact hammer was conducted to obtain the accurate resonance frequency. Based on the results of the modal analysis and experiment, the optimized resonance frequency was determined to be 2 Hz. The field experiment showed that the fruit fell off when the branches were vibrated at this frequency. The results provide the design basis for the efficient vibration harvesting of L. barbarum.

    DOI: 10.3390/agriculture11060519

    Web of Science

    Scopus

  14. Finite Element Method Simulations and Experiments of Detachments of Lycium barbarum L. 査読有り

    Zhao Jian, Ma Te, Inagaki Tetsuya, Chen Qingyu, Gao Zening, Sun Lijuan, Cai Haoxuan, Chen Chao, Li Chuanlin, Zhang Shixia, Tsuchikawa Satoru, Chen Jun

    FORESTS   12 巻 ( 6 )   2021年6月

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    記述言語:日本語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Forests  

    When harvesting Lycium barbarum L., excess amounts of detachments of the half-ripe fruit, unripe fruit, flowers, and leaves significantly affect the yield and adversely affect the subsequent processing, such as drying and grading. Finite element method (FEM) simulations and experiments of detachments were performed to harvest more ripe fruit and less half-ripe fruit, unripe fruit, flowers, and leaves. Three-dimensional (3D) models of the ripe fruit, half-ripe fruit, unripe fruit, flowers, leaves, fruit calyxes (flower calyx), fruit stems (flower stem), and branches were constructed using a 3D scanner, and material mechanics models of the above parts were established based on physical tests with universal testing machines. Detachment simulations and experiments of the ripe fruit, half-ripe fruit, unripe fruit, flowers, and leaves were performed to determine the detachment mechanisms and sequences. The detachment forces of each set of two parts were obtained. The field experiments showed that the detachment force between the fruit and calyx of ripe fruit was the lowest value of these forces, and only the ripe fruit was the first to detach from the calyx when harvesting. The results provided data support on the mechanics properties of wood and the optimization basis for the harvesting method of L. barbarum.

    DOI: 10.3390/f12060699

    Web of Science

    Scopus

  15. Non-destructive and fast method of mapping the distribution of the soluble solids content and pH in kiwifruit using object rotation near-infrared hyperspectral imaging approach 査読有り

    Ma Te, Xia Yu, Inagaki Tetsuya, Tsuchikawa Satoru

    POSTHARVEST BIOLOGY AND TECHNOLOGY   174 巻   2021年4月

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    記述言語:日本語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Postharvest Biology and Technology  

    This work aimed to offer a non-destructive and fast approach to visualizing the soluble solids content (SSC) and acidity (pH) of the whole kiwifruit. Most of the visible-near-infrared spectral imaging techniques used in postharvest fruit and vegetables assessment exhibit issues related to the identification of the quality spatial distribution within intact samples, mainly due to sampling surface curvature effects. Here, a push-broom-type NIR hyperspectral imaging camera and a sample rotation stage were combined to scan entire kiwifruit surfaces. Then, key wavelengths in the range of 1002–2300 nm were extracted for constructing SSC and pH calibration models by partial least squares regression analysis. The resulting SSC prediction accuracy was sufficiently high: the coefficient of determination (R2cv) and the root mean square error (RMSEcv) of cross-validation set were 0.74 and 0.7 %, respectively. For pH, the R2cv and RMSEcv were 0.64 and 0.14, respectively. Finally, the SSC and pH 360˚mapping results surpassed earlier works in this area that they showed a distinct spatial distribution within each intact sample. It was concluded that the proposed object rotation hyperspectral imaging approach is promising for the non-destructive prediction mapping of SSC and pH in kiwifruit or other cylindrical-shaped samples.

    DOI: 10.1016/j.postharvbio.2020.111440

    Web of Science

    Scopus

  16. Rapid and nondestructive evaluation of hygroscopic behavior changes of thermally modified softwood and hardwood samples using near-infrared hyperspectral imaging (NIR-HSI) 査読有り

    Ma Te, Schimleck Laurence, Inagaki Tetsuya, Tsuchikawa Satoru

    HOLZFORSCHUNG   75 巻 ( 4 ) 頁: 345 - 357   2021年4月

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    記述言語:日本語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Holzforschung  

    The objective of this work was to provide a rapid and nondestructive imaging method for evaluating the hygroscopic behavior of thermally modified lignocellulosic materials (softwood and hardwood). The difference in the hygroscopic behavior was explained by moisture content (MC) mapping results and molecular association characteristics of absorbed water (i.e. weakly, moderately, and strongly hydrogen-bonded water molecules) with wood at various relative humidities (RH). To achieve this goal, near-infrared (NIR) spectral images in the wavelength range 1816-2130 nm (covering the combination of stretching and deformation vibrations for OH) were used to visualize MC distributions over the surface of Japanese cedar and European beech samples which had been thermally treated at different temperatures. A curve fitting method was utilized to explore changes in water-wood structure characteristics based on shifts to longer wavelength in spectral signals caused by increasing MC. The curve fitting results support the recent nuclear magnetic resonance (NMR) studies that different bound water stabilities may pool in different compartments of the wood cell wall. Furthermore, water was firmly bound to wood at low RHs and H-bonds gained mobility as the number of absorbed molecules increased. It is concluded that NIR hyperspectral imaging also has the potential to be a complementary methodology for studying the transient changes of wood-water interactions before equilibrium.

    DOI: 10.1515/hf-2019-0298

    Web of Science

    Scopus

  17. Rapid and nondestructive evaluation of soluble solids content (SSC) and firmness in apple using Vis–NIR spatially resolved spectroscopy 査読有り

    Ma T., Xia Y., Inagaki T., Tsuchikawa S.

    Postharvest Biology and Technology   173 巻   2021年3月

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    記述言語:日本語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Postharvest Biology and Technology  

    Visible–near infrared (Vis–NIR) spectroscopy is a rapid and nondestructive method used to characterize organic compounds in postharvest fruit and vegetable assessment. However, developing robust calibration models is a challenge as conventional spectrometers collect only the cumulative effects of light absorption and scattering. In this study, a multifiber-based Vis–NIR spatially resolved spectra measurement system was designed for simultaneous evaluation of soluble solid content (SSC) and firmness in apple. Thirty silica fibers separated into five groups at 1, 2, 3, 4, and 5 mm away from the light illumination point and connected to a cost-effective Vis–NIR hyperspectral imaging camera were used to acquire spectral data with an improved signal-to-noise ratio (S/N) by a two-step signal averaging process (i.e., 30 camera pixels per fiber and six optical fibers per group). Reflectance ratio spectra were then calculated by dividing the diffusely reflected light intensity detected at distance d +△ by that detected at distance d to realize a light reference-free approach. Finally, the useful explanatory variables were selected by competitive adaptive reweighted sampling (CARS) to construct individual calibration models for various regions. The coefficients of determination (Rcal2) and the root mean square errors (RMSEcal) of the best-performing calibration models were approximately 0.97 and 0.20 % for SSC and 0.96 and 0.37 N for firmness, respectively. Furthermore, the predicted results were 0.92 and 0.35 % for SSC and 0.87 and 0.71 N for firmness. Our method offers low-cost and portable detection of SSC and firmness for postharvest fruit evaluation.

    DOI: 10.1016/j.postharvbio.2020.111417

    Scopus

  18. Rapid and non-destructive seed viability prediction using near-infrared hyperspectral imaging coupled with a deep learning approach 査読有り

    Ma Te, Tsuchikawa Satoru, Inagaki Tetsuya

    COMPUTERS AND ELECTRONICS IN AGRICULTURE   177 巻   2020年10月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)  

    DOI: 10.1016/j.compag.2020.105683

    Web of Science

    Scopus

  19. Rapid and nondestructive evaluation of hygroscopic behavior changes of thermally modified softwood and hardwood samples using near-infrared hyperspectral imaging (NIR-HSI) 査読有り

    Holzforschung     2020年8月

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    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)  

    DOI: https://doi.org/10.1515/hf-2019-0298

  20. Physical and Mechanical Properties of Fast Growing Polyploid Acacia Hybrids (A. auriculiformisxA. mangium) from Vietnam 査読有り

    Dang Duc Viet, Ma Te, Inagaki Tetsuya, Nguyen Tu Kim, Nghiem Quynh Chi, Tsuchikawa Satoru

    FORESTS   11 巻 ( 7 )   2020年7月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)  

    DOI: 10.3390/f11070717

    Web of Science

    Scopus

  21. Rapidly visualizing the dynamic state of free, weakly, and strongly hydrogen-bonded water with lignocellulosic material during drying by near-infrared hyperspectral imaging 査読有り

    Te Ma, Tetsuya Inagaki, Satoru Tsuchikawa

    Cellulose     2020年

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    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)  

    DOI: 10.1007/s10570-020-03117-6

  22. Demonstration of the applicability of visible and near-infrared spatially resolved spectroscopy for rapid and nondestructive wood classification 査読有り

    Ma T.

    Holzforschung     2020年

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    記述言語:英語   掲載種別:研究論文(学術雑誌)  

    DOI: 10.1515/hf-2020-0074

    Scopus

  23. Cognitive spectroscopy for wood species identification: near infrared hyperspectral imaging combined with convolutional neural networks 査読有り

    Kanayama Hideaki, Ma Te, Tsuchikawa Satoru, Inagaki Tetsuya

    ANALYST   144 巻 ( 21 ) 頁: 6438-6446   2019年11月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)  

    DOI: 10.1039/c9an01180c

    Web of Science

    Scopus

    PubMed

  24. Three-dimensional grain angle measurement of softwood (Hinoki cypress) using near infrared spatially and spectrally resolved imaging (NIR-SSRI) 査読有り

    Ma Te, Inagaki Tetsuya, Tsuchikawa Satoru

    HOLZFORSCHUNG   73 巻 ( 9 ) 頁: 817-826   2019年9月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)  

    DOI: 10.1515/hf-2018-0273

    Web of Science

    Scopus

  25. Non-destructive evaluation of wood stiffness and fiber coarseness, derived from SilviScan data, via near infrared hyperspectral imaging 査読有り

    Ma Te, Inagaki Tetsuya, Tsuchikawa Satoru

    JOURNAL OF NEAR INFRARED SPECTROSCOPY   26 巻 ( 6 ) 頁: 398 - 405   2018年12月

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    記述言語:日本語   掲載種別:研究論文(学術雑誌)  

    DOI: 10.1177/0967033518808053

    Web of Science

  26. Effect of knots and holes on the modulus of elasticity prediction and mapping of sugi (Cryptomeria japonica) veneer using near-infrared hyperspectral imaging (NIR-HSI) 査読有り

    Imran Arra'd Sofianto, Tetsuya Inagaki, Te Ma, Satoru Tsuchikawa

    Holzforschung     2018年9月

     詳細を見る

    記述言語:英語   掲載種別:研究論文(学術雑誌)  

    DOI: 10.1515/hf-2018-0060

  27. Optical characteristics of Douglas fir at various densities, grain directions and thicknesses investigated by near-infrared spatially resolved spectroscopy (NIR-SRS) 査読有り

    Te Ma, Gary Schajer, Tetsuya Inagaki, Zarin Pirouz, Satoru Tsuchikawa

    HOLZFORSCHUNG   72 巻 ( 9 ) 頁: 789-796   2018年9月

     詳細を見る

    記述言語:英語   掲載種別:研究論文(学術雑誌)  

    DOI: 10.1515/hf-2017-0213

    Web of Science

    Scopus

  28. Noncontact evaluation of soluble solids content in apples by near-infrared hyperspectral imaging 査読有り

    Te Ma, Xinze Li, Tetsuya Inagaki, Haoyu Yang, Satoru Tsuchikawa

    JOURNAL OF FOOD ENGINEERING   224 巻   頁: 53-61   2018年5月

     詳細を見る

    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)  

    DOI: 10.1016/j.jfoodeng.2017.12.028

    Web of Science

    Scopus

  29. Effect of cellular structure on the optical properties of wood 査読有り

    Mayuka Ban, Tetsuya Inagaki, Te Ma, Satoru Tsuchikawa

    JOURNAL OF NEAR INFRARED SPECTROSCOPY   26 巻 ( 1 ) 頁: 53-60   2018年2月

     詳細を見る

    記述言語:英語   掲載種別:研究論文(学術雑誌)  

    DOI: 10.1177/0967033518757233

    Web of Science

    Scopus

  30. Near-infrared hyperspectral imaging for classification of mung bean seeds 査読有り

    Phuangsombut Kaewkarn, Ma Te, Inagaki Tetsuya, Tsuchikawa Satoru, Terdwongworakul Anupun

    INTERNATIONAL JOURNAL OF FOOD PROPERTIES   21 巻 ( 1 ) 頁: 799 - 807   2018年

     詳細を見る

    記述言語:日本語   掲載種別:研究論文(学術雑誌)  

    DOI: 10.1080/10942912.2018.1476378

    Web of Science

  31. Rapid identification of wood species by near-infrared spatially resolved spectroscopy (NIR-SRS) based on hyperspectral imaging (HSI) 査読有り

    Te Ma, Tetsuya Inagaki, Mayuka Ban, Satoru Tsuchikawa

    Holzforschung     2018年

     詳細を見る

    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)  

    DOI: 10.1515/hf-2018-0128

  32. High-Resolution and Non-destructive Evaluation of the Spatial Distribution of Nitrate and Its Dynamics in Spinach (Spinacia oleracea L.) Leaves by Near-Infrared Hyperspectral Imaging 査読有り

    Hao-Yu Yang , Tetsuya Inagaki, Te Ma, Satoru Tsuchikawa

    FRONTIERS IN PLANT SCIENCE   8 巻   頁: 1937   2017年11月

     詳細を見る

    記述言語:英語   掲載種別:研究論文(学術雑誌)  

    DOI: 10.3389/fpls.2017.01937

    Web of Science

    Scopus

    PubMed

  33. Calibration of SilviScan data of Cryptomeria japonica wood concerning density and microfibril angles with NIR hyperspectral imaging with high spatial resolution 査読有り

    Te Ma, Tetsuya Inagaki, Satoru Tsuchikawa

    HOLZFORSCHUNG   71 巻 ( 4 ) 頁: 341-347   2017年4月

     詳細を見る

    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)  

    DOI: 10.1515/hf-2016-0153

    Web of Science

    Scopus

  34. Classification of mung bean seeds for sprout production using near-infrared spectroscopy and hyperspectral imaging 査読有り

      23 巻 ( 1 ) 頁: 23-29   2017年

     詳細を見る

    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)  

  35. High spatial resolution and non-destructive evaluation of wood density and microfibril angle by NIR hyperspectral imaging 査読有り

    Te Ma, Tetsuya Inagaki, Satoru Tsuchikawa

    NIR news   28 巻 ( 5 ) 頁: 7-12   2017年

     詳細を見る

    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)  

  36. Non-destructive inspection of insects in chocolate using near infrared multispectral imaging 査読有り

    Te Ma, Hikaru Kobori, Norihisa Katayama, Satoru Tsuchikawa

    JOURNAL OF NEAR INFRARED SPECTROSCOPY   24 巻 ( 4 ) 頁: 391-397   2016年

     詳細を見る

    記述言語:英語   掲載種別:研究論文(学術雑誌)  

    DOI: 10.1255/jnirs.1237

    Web of Science

    Scopus

▼全件表示

書籍等出版物 4

  1. Wooden Material and Environmental Sciences

    Ma Te, Tsuchikawa Satoru, Inagaki Tetsuya( 担当: 共著)

    Springer  2020年11月 

     詳細を見る

    記述言語:英語 著書種別:学術書

  2. The Encyclopedia of Archaeological Sciences

    Satoru Tsuchikawa, Te Ma, Tetsuya Inagaki( 担当: 共著)

    John Wiley & Sons, Inc.  2018年  ( ISBN:9780470674611

     詳細を見る

    記述言語:英語 著書種別:学術書

  3. 分光イメージング法による食品混入異物の検査

    土川 覚、馬 特、小堀 光、片山詔久( 担当: 共著)

    日本工業出版  2015年11月 

     詳細を見る

    記述言語:日本語 著書種別:学術書

  4. 分光画像解析による食品異物混入の非破壊検査-表面近傍の有機異物検出の可能性-

    土川 覚、馬 特、小堀 光、片山詔久( 担当: 共著)

    日本工業出版  2014年 

     詳細を見る

    記述言語:日本語 著書種別:学術書

講演・口頭発表等 19

  1. 近赤外空間分解分光法を用いた木材品質の非破壊評価

    馬 特, Gary Schajer, 稲垣哲也, Zarin Pirouz, 土川 覚

    第68回日本木材大会 

     詳細を見る

    開催年月日: 2018年3月

    記述言語:日本語   会議種別:ポスター発表  

    国名:日本国  

  2. Non-destructive evaluation of wood density and MFA in high-spatial resolution using NIR hyperspectral imaging 国際会議

    The 2017 IUFRO All-Division 5 Conference 

     詳細を見る

    開催年月日: 2017年6月

    記述言語:英語   会議種別:口頭発表(一般)  

    国名:カナダ  

  3. Prediction of wood fibril angle and moisture content using optical scattering and absorption properties 国際会議

    Te Ma, Gary Schajer, Zarin Pirouz, Tetsuya Inagaki, Satoru Tsuchikawa

     詳細を見る

    開催年月日: 2017年6月

    記述言語:英語   会議種別:ポスター発表  

    国名:カナダ  

  4. 近赤外ハイパースペクトラルイメージング法を活用した木材品質の非破壊評価

    馬 特, 稲垣哲也, 土川 覚

    第67回日本木材大会 

     詳細を見る

    開催年月日: 2017年3月

    記述言語:日本語   会議種別:ポスター発表  

    国名:日本国  

  5. Non-destructive evaluation of wood density and MFA in high-spatial resolution using NIR hyperspectral imaging 国際会議

    Te Ma, Tetsueya Inagaki, Satoru Tsuchikawa

    The 5th Asian NIR Symposium 2016 

     詳細を見る

    開催年月日: 2016年11月 - 2016年12月

    記述言語:英語   会議種別:ポスター発表  

    国名:日本国  

  6. 近赤外ハイパースペクトラルイメージング法を活用した木材品質の非破壊評価

    馬 特, 稲垣哲也, 土川 覚

    日本木材学会中部支部大会 

     詳細を見る

    開催年月日: 2016年10月

    記述言語:日本語   会議種別:口頭発表(一般)  

    国名:日本国  

  7. Non-destructive evaluation of wood density and MFA in high-spatial resolution using NIR hyperspectral imaging 国際会議

     詳細を見る

    開催年月日: 2016年7月 - 2016年8月

    記述言語:英語   会議種別:ポスター発表  

    国名:アメリカ合衆国  

  8. Nondestructive inspection of foreign matters in food products using near infrared imaging 国際会議

    International Diffuse Reflectance Conference (IDRC) 

     詳細を見る

    開催年月日: 2016年7月 - 2016年8月

    記述言語:英語   会議種別:ポスター発表  

    国名:アメリカ合衆国  

  9. 基于近红外高光谱的木材品质检测研究 国際会議

    馬 特, 稲垣哲也, 土川 覚

    第六届近红外光谱学术会议 

     詳細を見る

    開催年月日: 2016年3月

    記述言語:中国語   会議種別:口頭発表(一般)  

    国名:中華人民共和国  

  10. ハイパースペクトラルイメージング法による木材含水率分布の可視化

    馬 特, 稲垣哲也, 王 冠雄, 土川 覚

    第31回近赤外フォーラム 

     詳細を見る

    開催年月日: 2015年11月

    記述言語:日本語   会議種別:ポスター発表  

    国名:日本国  

  11. Evaluation of Chemical Composition in Wood using NIR Hyperspectral Imaging

    第65回 日本木材学会 

     詳細を見る

    開催年月日: 2015年3月

    記述言語:英語   会議種別:口頭発表(一般)  

    国名:日本国  

  12. 分光画像解析による食品混入異物の非破壊検査 ‐表面近傍の有機異物検出の可能性-

    馬 特, 小堀 光, 片山詔久, 土川 覚

    第30回近赤外フォーラム 

     詳細を見る

    開催年月日: 2014年11月

    記述言語:日本語   会議種別:口頭発表(一般)  

    国名:日本国  

  13. ハイパースペクトラルイメージングによる木材化学成分の可視化

    馬 特, 稲垣哲也, 王 冠雄, 土川 覚

    日本木材加工技術協会 第32回年次大会 

     詳細を見る

    開催年月日: 2014年10月

    記述言語:日本語   会議種別:ポスター発表  

    国名:日本国  

  14. Non-destructive inspection of foreign matters in food products using visible and near infrared (Vis-NIR) imaging method 国際会議

    Te Ma, Hikaru Kobori, Norihisa Katayama, Satoru Tsuchikawa

     詳細を見る

    開催年月日: 2014年6月

    記述言語:英語   会議種別:ポスター発表  

    国名:大韓民国  

  15. 分光画像解析による食品混入異物の非破壊検査-表面近傍の有機異物検出の可能性-

    馬 特, 小堀 光, 片山詔久, 土川 覚

    第29回近赤外フォーラム 

     詳細を見る

    開催年月日: 2013年11月

    記述言語:日本語   会議種別:ポスター発表  

    国名:日本国  

  16. 可視-近赤外画像計測による食品異物検査(Ⅱ) 透過法によるチョコレート内部の異物検出の可能性

    馬 特, 小堀 光, 片山詔久, 土川 覚

    第28回近赤外フォーラム 

     詳細を見る

    開催年月日: 2013年3月

    記述言語:日本語   会議種別:ポスター発表  

    国名:日本国  

  17. ハイパースペクトラルイメージング法による木材含水率分布の可視化 国際会議

    馬 特, 稲垣哲也, 王 冠雄, 土川 覚

    第31回近赤外フォーラム  2015年11月 

     詳細を見る

    記述言語:日本語   会議種別:ポスター発表  

  18. Prediction of wood fibril angle and moisture content using optical scattering and absorption properties

    Te Ma, Gary Schajer, Zarin Pirouz, Tetsuya Inagaki, Satoru Tsuchikawa

    The 2017 IUFRO All-Division 5 Conference  2017年6月 

     詳細を見る

    記述言語:英語   会議種別:ポスター発表  

  19. Evaluation of Chemical Composition in Wood using NIR Hyperspectral Imaging 国際会議

    Te Ma, Tetsuya Inagaki, Guanxiong Wang, Satoru Tsuchikawa

    第65回 日本木材学会  2015年3月 

     詳細を見る

    記述言語:英語   会議種別:口頭発表(一般)  

▼全件表示

共同研究・競争的資金等の研究課題 1

  1. 公益財団法人ヒロセ財団 研究助成

    2022年12月 - 2024年11月

    研究助成 

      詳細を見る

    担当区分:研究代表者 

科研費 3

  1. スナップショット型近赤外ハイパースペクトラル画像による木材内水分動態モニタリング

    研究課題/研究課題番号:22H02405  2022年4月 - 2025年3月

    科学研究費補助金   科学研究費補助金

      詳細を見る

    担当区分:研究分担者 

  2. 木材乾燥過程における水分分布の可視化および AI・シミュレーション技術の開発

    研究課題/研究課題番号:22K14926  2022年4月 - 2024年3月

    科学研究費補助金  

      詳細を見る

    担当区分:研究代表者 

  3. 近赤外空間分解分光法による木材の樹種判別および多形質の同時非破壊評価

    研究課題/研究課題番号:19K15886  2019年4月 - 2021年3月

    科学研究費補助金 

      詳細を見る

    担当区分:研究代表者 

 

社会貢献活動 1

  1. 科学技術振興財団、日本・アジア青少年サイエンス交流事業、さくらサイエンスプラン ( 計9回 運営参加)

    役割:運営参加・支援

    2014年 - 2020年