อนุพันธ์ เทอดวงศ์วรกุล
ศาสตราจารย์
ภาควิชาวิศวกรรมเกษตร คณะวิศวกรรมศาสตร์ กำแพงแสน วิทยาเขตกำแพงแสน
fengant@ku.ac.th
0-29428003 ต่อ 3522
EDUCATION
- Ph.D. (Agricultural Engineering ), Cranfield University , U. KINGDOM
- M.Sc. (Welding Technology ), Cranfield University , U. KINGDOM
- วศ.บ.( วิศวกรรมเกษตร ), มหาวิทยาลัยเกษตรศาสตร์, ไทย
RESOURCE
แหล่งที่มา
ผลงาน
Works
INTEREST
ความสนใจ
Near infrared spectroscopy
Expertise Cloud
ความเชี่ยวชาญ
Person
Relationship
นักวิจัย
ที่มีผลงานมากที่สุด 10 คนแรก
Scopus
h-index
h-index: 17
| # | Document title | Authors | Year | Source | Cited by |
|---|---|---|---|---|---|
| 1 | Non-destructive prediction of translucent flesh disorder in intact mangosteen by short wavelength near infrared spectroscopy | Teerachaichayut S., Kil K., Terdwongworakul A., Thanapase W., Nakanishi Y. | 2007 | Postharvest Biology and Technology, 43(2), pp. 202-206 | 57 |
| 2 | Rapid assessment of wood chemical properties and pulp yield of Eucalyptus camaldulensis in Thailand tree plantations by near infrared spectroscopy for improving wood selection for high quality pulp | Terdwongworakul A., Punsuwan V., Thanapase W., Tsuchikawa S. | 2005 | Journal of Wood Science, 51(2), pp. 167-171 | 53 |
| 3 | Non-destructive maturity classification of mango based on physical, mechanical and optical properties | Wanitchang P., Terdwongworakul A., Wanitchang J., Nakawajana N. | 2011 | Journal of Food Engineering, 105(3), pp. 477-484 | 45 |
| 4 | Emerging approaches to determine maturity of citrus fruit | Gupta A.K., Pathak U., Tongbram T., Medhi M., Medhi M., Terdwongworakul A., Magwaza L.S., Mditshwa A., Chen T., Mishra P. | 2021 | Critical Reviews in Food Science and Nutrition | 39 |
| 5 | Minimally-destructive evaluation of durian maturity based on electrical impedance measurement | Kuson P., Kuson P., Terdwongworakul A. | 2013 | Journal of Food Engineering, 116(1), pp. 50-56 | 38 |
| 6 | Maturity sorting index of dragon fruit: Hylocereus polyrhizus | Wanitchang J., Terdwongworakul A., Wanitchang P., Noypitak S. | 2010 | Journal of Food Engineering, 100(3), pp. 409-416 | 37 |
| 7 | Quantitative prediction of nitrate level in intact pineapple using Vis-NIRS | Srivichien S., Terdwongworakul A., Teerachaichayut S. | 2015 | Journal of Food Engineering, 150, pp. 29-34 | 34 |
| 8 | Physical properties of fresh young Thai coconut for maturity sorting | Terdwongworakul A., Chaiyapong S., Jarimopas B., Meeklangsaen W. | 2009 | Biosystems Engineering, 103(2), pp. 208-216 | 33 |
| 9 | Non-destructive prediction of hardening pericarp disorder in intact mangosteen by near infrared transmittance spectroscopy | Teerachaichayut S., Terdwongworakul A., Thanapase W., Kiji K. | 2011 | Journal of Food Engineering, 106(3), pp. 206-211 | 31 |
| 10 | Multivariate data analysis for classification of pineapple maturity | Pathaveerat S., Terdwongworakul A., Phaungsombut A. | 2008 | Journal of Food Engineering, 89(2), pp. 112-118 | 29 |
| 11 | Near-infrared hyperspectral imaging combined with machine learning for physicochemical-based quality evaluation of durian pulp | Sharma S., Sirisomboon P., K.C S., Terdwongworakul A., Phetpan K., Kshetri T.B., Sangwanangkul P. | 2023 | Postharvest Biology and Technology, 200, 112334 | 26 |
| 12 | Application of near infrared spectroscopy for indirect evaluation of "Monthong" durian maturity | Somton W., Pathaveerat S., Terdwongworakul A. | 2015 | International Journal of Food Properties, 18(6), pp. 1155-1168 | 21 |
| 13 | Improving the non-destructive maturity classification model for durian fruit using near-infrared spectroscopy | Ditcharoen S., Sirisomboon P., Saengprachatanarug K., Phuphaphud A., Rittiron R., Terdwongworakul A., Malai C., Saenphon C., Panduangnate L., Posom J. | 2023 | Artificial Intelligence in Agriculture, 7, pp. 35-43 | 20 |
| 14 | Evaluation of pomelo maturity based on acoustic response and peel properties | Hongwiangjan J., Terdwongworakul A., Krisanapook K. | 2015 | International Journal of Food Science and Technology, 50(3), pp. 782-789 | 19 |
| 15 | Evaluation of internal quality of fresh-cut pomelo using Vis/NIR transmittance | Puangsombut A., Pathaveerat S., Terdwongworakul A., Puangsombut K. | 2012 | Journal of Texture Studies, 43(6), pp. 445-452 | 19 |
| 16 | Non-destructive classification of durian maturity of 'Monthong' cultivar by means of visible spectroscopy of the spine | Timkhum P., Timkhum P., Terdwongworakul A. | 2012 | Journal of Food Engineering, 112(4), pp. 263-267 | 18 |
| 17 | An automatic trimming machine for young coconut fruit | Jarimopas B., Ruttanadat N., Terdwongworakul A. | 2009 | Biosystems Engineering, 103(2), pp. 167-175 | 18 |
| 18 | Evaluation of astringency and tannin content in xichu persimmons using near infrared spectroscopy | Noypitak S., Terdwongworakul A., Krisanapook K., Kasemsumran S. | 2015 | International Journal of Food Properties, 18(5), pp. 1014-1028 | 16 |
| 19 | Empirical reduction of rind effect on rind and flesh absorbance for evaluation of durian maturity using near infrared spectroscopy | Phuangsombut K., Phuangsombut A., Talabnark A., Terdwongworakul A. | 2018 | Postharvest Biology and Technology, 142, pp. 55-59 | 14 |
| 20 | Minimally destructive assessment of mangosteen translucency based on electrical impedance measurements | Nakawajana N., Terdwongworakul A., Teerachaichayut S. | 2016 | Journal of Food Engineering, 171, pp. 137-144 | 12 |
| 21 | Qualitative and quantitative evaluation of pomelo maturity using multivariate combination of chemical and physical properties | Terdwongworakul A., Puangsombat A., Pathaveerat S. | 2009 | Journal of Texture Studies, 40(5), pp. 584-605 | 12 |
| 22 | Detection of cracked shell in intact aromatic young coconut using near infrared spectroscopy and acoustic response methods | Noypitak S., Imsabai W., Noknoi W., Karoojee S., Terdwongworakul A., Kobori H. | 2019 | Journal of Food Measurement and Characterization, 13(3), pp. 1991-1999 | 12 |
| 23 | Determination of translucent content in mangosteen by means of near infrared transmittance | Terdwongworakul A., Nakawajana N., Nakawajana N., Teerachaichayut S., Janhiran A. | 2012 | Journal of Food Engineering, 109(1), pp. 114-119 | 12 |
| 24 | Determination of physical, acoustical, mechanical, and chemical properties of fresh young coconut fruit for maturity separation | Terdwongworakul A., Jarimopas B., Chaiyapong S., Singh S.P., Singh J. | 2010 | Journal of Testing and Evaluation, 38(1) | 11 |
| 25 | Discriminating pineapple batches for susceptibility to postharvest internal browning | Sangsoy K., Sangsoy K., Beckles D.M., Terdwongworakul A., Luengwilai K., Luengwilai K. | 2022 | Scientia Horticulturae, 300, 111069 | 11 |
| 26 | Near-infrared hyperspectral imaging for classification of mung bean seeds | Phuangsombut K., Ma T., Inagaki T., Tsuchikawa S., Terdwongworakul A. | 2018 | International Journal of Food Properties, 21(1), pp. 799-807 | 9 |
| 27 | Development and testing of a husking machine for dry betel nut (Areca Catechu Linn.) | Jarimopas B., Niamhom S., Terdwongworakul A. | 2009 | Biosystems Engineering, 102(1), pp. 83-89 | 9 |
| 28 | Design of machine to size java apple fruit with minimal damage | Treeamnuk K., Pathaveerat S., Terdwongworakul A., Bupata C. | 2010 | Biosystems Engineering, 107(2), pp. 140-148 | 9 |
| 29 | Combination of visible reflectance and acoustic response to improve non-destructive assessment of maturity and indirect prediction of internal quality of red-fleshed pomelo | Phuangsombut K., Phuangsombut A., Terdwongworakul A. | 2020 | International Journal of Food Science and Technology | 9 |
| 30 | Non-Destructive Classification of Organic and Conventional Hens’ Eggs Using Near-Infrared Hyperspectral Imaging | Sahachairungrueng W., Thompson A.K., Terdwongworakul A., Teerachaichayut S. | 2023 | Foods, 12(13), 2519 | 8 |
| 31 | Nondestructive classification of mung bean seeds by single kernel near-infrared spectroscopy | Phuangsombut K., Suttiwijitpukdee N., Terdwongworakul A. | 2017 | Journal of Innovative Optical Health Sciences, 10(3), 1650053 | 8 |
| 32 | Multi-parameter index for durian maturity and its prediction using miniature near infrared spectrometer | Cheepsomsong T., Sangwanangkul P., Puttipipatkajorn A., Terdwongworakul A., Puttipipatkajorn A., Kulmutiwat S., Phuangsombut A. | 2023 | Postharvest Biology and Technology, 205, 112487 | 7 |
| 33 | Assessment of Nitrite Content in Vienna Chicken Sausages Using Near-Infrared Hyperspectral Imaging | Tantinantrakun A., Thompson A.K., Terdwongworakul A., Teerachaichayut S. | 2023 | Foods, 12(14), 2793 | 6 |
| 34 | Mapping hyperspectral NIR images using supervised self-organizing maps: Discrimination of weedy rice seeds | Makmuang S., Terdwongworakul A., Vilaivan T., Maher S., Ekgasit S., Wongravee K. | 2023 | Microchemical Journal, 190, 108599 | 6 |
| 35 | Improving the performance of the model developed from the classification of adulterated honey with different botanical origins based on near-Infrared hyperspectral imaging system and supervised classification algorithms | Siano D.B., Siano D.B., Abdullakasim W., Terdwongworakul A., Phuangsombut K. | 2023 | Infrared Physics and Technology, 131, 104692 | 6 |
| 36 | Application of miniaturized near-infrared spectrometer for indirectly determining flesh thickness of intact polished coconut | Phuangsombut A., Phuangsombut K., Meetim J., Terdwongworakul A. | 2023 | Postharvest Biology and Technology, 198, 112224 | 5 |
| 37 | Classification of adulterated Para rubber sheet using a near infrared hyperspectral imaging system: A comparison between reflectance and transflectance modes | Siano D.B., Siano D.B., Abdullakasim W., Terdwongworakul A., Phuangsombut K. | 2021 | Sensing and Bio-Sensing Research, 33, 100441 | 5 |
| 38 | Application of a portable near-infrared spectrometer for rapid, non-destructive evaluation of moisture content in Para rubber timber | Noypitak S., Puttipipatkajorn A., Ruangkhasap S., Terdwongworakul A., Puttipipatkajorn A. | 2021 | Wood Science and Technology | 4 |
| 39 | Evaluation of near infrared hyperspectral imaging for detection of tuna powder contaminated with shrimp powder | Nonthawong K., Phiriyangkul P., Terdwongworakul A., Phuangsombut K. | 2019 | IOP Conference Series: Earth and Environmental Science, 301(1), 012066 | 4 |
| 40 | Non-destructive assessment of moisture content and modulus of rupture of sawn timber Hevea wood using near infrared spectroscopy technique | Ruangkhasap S., Noypitak S., Noknoi W., Terdwongworakul A. | 2020 | IOP Conference Series: Materials Science and Engineering, 773(1), 012065 | 4 |
| 41 | Application of near infrared spectroscopy to predict crude protein in shrimp feed | Maneerot J., Terdwongworakul A., Tanaphase W., Unprasert N. | 2006 | Kasetsart Journal - Natural Science, 40(1), pp. 172-180 | 4 |
| 42 | Comparison of fruit texture and aquaporin gene expression in papaya “Khak Nual” cultivated under varying conditions | Burns P., Burns P., Burns P., Saengmanee P., Saengmanee P., Utkhao W., Terdwongworakul A., Thaipong K., Doung-Ngern U., Siripanich J. | 2023 | Journal of Horticultural Science and Biotechnology | 4 |
| 43 | Indirect prediction of dry matter in durian pulp with combined features using miniature NIR spectrophotometer | Puttipipatkajorn A., Terdwongworakul A., Puttipipatkajorn A., Kulmutiwat S., Sangwanangkul P., Cheepsomsong T. | 2023 | IEEE Access | 4 |
| 44 | Empirical approach to improve the prediction of soluble solids content in mango using near-infrared spectroscopy | Phuangsombut K., Phuangsombut A., Terdwongworakul A. | 2020 | International Food Research Journal, 27(2), pp. 217-223 | 3 |
| 45 | Improved evaluation of commercial cane sugar content in sugarcane stalk using near infrared hyperspectral imaging and stalk axis rotation technique | Chiatrakul J., Terdwongworakul A., Phuangsombut K., Phuangsombut A. | 2022 | Biosystems Engineering, 223, pp. 161-173 | 3 |
| 46 | Detection of spongy pulp in guava using light properties and near infrared spectroscopy | Noypitak S., Jaitrong N., Terdwongworakul A. | 2021 | International Food Research Journal, 28(6), pp. 1268-1275 | 2 |
| 47 | Classification of papaya crispiness based on mechanical properties | Terdwongworakul A., Burns P., Burns P., Wichchukit S., Wichchukit S., Thaipong K., Thaipong K., Nacharoen S., Nacharoen S. | 2016 | Agricultural Engineering International: CIGR Journal, 18(1), pp. 294-300 | 2 |
| 48 | Non-destructive estimation of anthocyanin content in yardlong bean based on tristimulus values and reflectance spectra | Bunluephan M., Chuenduang C., Suamuang S., Amkul K., Laosatit K., Terdwongworakul A., Tanadul O.U.M. | 2023 | Crop Breeding and Applied Biotechnology, 23(4), e46112341 | 2 |
| 49 | Transient heat modeling for non-destructive assessment of boiled eggs | Sahachairungrueng W., Tonpho P., Veeradechakul M., Rosnim T., Thompson A.K., Terdwongworakul A., Teerachaichayut S. | 2023 | Heat and Mass Transfer/Waerme- und Stoffuebertragung | 1 |
| 50 | Evaluation of durian maturity using short-range, coded-light, three-dimensional scanner with machine learning | Cheepsomsong T., Phuangsombut A., Phuangsombut K., Sangwanangkul P., Siriphanich J., Terdwongworakul A. | 2025 | Postharvest Biology and Technology, 222, 113342 | 0 |
| 51 | Effect of Environment Temperature and Relative Humidity on Thermal Emissivity: Study Case of Mango Fruit | Sirisomboon P., Sripinyowanich Jongyingcharoen J., Junto A., Phanomsophon T., Dachoupakan Sirisomboon C., Rerngsamran P., Pokhrel D.R., Sharma S., Posom J., Pornchaloempong P., Terdwongwarakul A., Chongstitvatana P. | 2024 | SISY 2024 - IEEE 22nd International Symposium on Intelligent Systems and Informatics, Proceedings, pp. 485-490 | 0 |
| 52 | Detection of dry rubber content in rubber cup lumps using electrical impedance spectroscopy | Phuangsombut K., Phuangsombut A., Terdwongworakul A. | 2020 | Indian Journal of Agricultural Sciences, 90(4), pp. 832-834 | 0 |