Articles citing this paper
NIR model development and robustness in prediction of melon fruit total soluble solids
J. A. Guthrie A B C , C. J. Liebenberg B and K. B. Walsh B
+ Author Affiliations
- Author Affiliations
A Delivery, Queensland Department of Primary Industries and Fisheries, PO Box 6014, CQ Mail Centre, Rockhampton, Qld 4702, Australia.
B Plant Sciences Group, Central Queensland University, Rockhampton, Qld 4702, Australia.
C Corresponding author. Email: john.guthrie@dpi.qld.gov.au
Australian Journal of Agricultural Research 57(4) 411-418 https://doi.org/10.1071/AR05123
Submitted: 5 April 2005 Accepted: 23 November 2005 Published: 27 April 2006
53 articles found in Crossref database.
Nondestructive Quality Assessment Techniques for Fresh Fruits and Vegetables (2022)
Assessment of Potato Dry Matter Concentration Using Short-Wave Near-Infrared Spectroscopy
Subedi P. P., Walsh K. B.
Potato Research. 2009 52(1). p.67
Quantification of Lycopene, β-Carotene, and Total Soluble Solids in Intact Red-Flesh Watermelon (Citrullus lanatus) Using On-Line Near-Infrared Spectroscopy
Tamburini Elena,
Costa Stefania,
Rugiero Irene,
Pedrini Paola, Marchetti Maria
Sensors. 2017 17(4). p.746
A review on recent near infrared spectroscopic measurement setups and their challenges
Hong Fan Wei, Chia Kim Seng
Measurement. 2021 171 p.108732
Handbook of Vibrational Spectroscopy (2001)
Recent advances in micro-level experimental investigation in food drying technology
Khan Md Imran H.,
Rahman M. M., Karim M. A.
Drying Technology. 2020 38(5-6). p.557
Comparison of NIRS approach for prediction of internal quality traits in three fruit species
de Oliveira Gabrieli Alves,
Bureau Sylvie,
Renard Catherine Marie-Geneviève Claire,
Pereira-Netto Adaucto Bellarmino, de Castilhos Fernanda
Food Chemistry. 2014 143 p.223
Research advances in nondestructive determination of internal quality in watermelon/melon: A review
Sun Tong,
Huang Kang,
Xu Huirong, Ying Yibin
Journal of Food Engineering. 2010 100(4). p.569
PREDICTION OF THE SOLUBLE SOLIDS CONTENT IN THREE FRUIT SPECIES USING NIRS APPROACH
Anais do XX Congresso Brasileiro de Engenharia Química (2015)
Non-destructive measurement of firmness and soluble solids content in bell pepper using NIR spectroscopy
Penchaiya Pathompong,
Bobelyn Els,
Verlinden Bert E.,
Nicolaï Bart M., Saeys Wouter
Journal of Food Engineering. 2009 94(3-4). p.267
Multi-parameter index for durian maturity and its prediction using miniature near infrared spectrometer
Cheepsomsong Thana,
Sangwanangkul Peerapong,
Puttipipatkajorn Amornrit,
Terdwongworakul Anupun,
Puttipipatkajorn Amorndej,
Kulmutiwat Supachai, Phuangsombut Arthit
Postharvest Biology and Technology. 2023 205 p.112487
Nondestructive evaluation of SW-NIRS and NIR-HSI for predicting the maturity index of intact pineapples
Tantinantrakun Achiraya,
Sukwanit Supawan,
Thompson Anthony Keith, Teerachaichayut Sontisuk
Postharvest Biology and Technology. 2023 195 p.112141
Influence of physical and biological variability and solution methods in fruit and vegetable quality nondestructive inspection by using imaging and near-infrared spectroscopy techniques: A review
Zhang Baohua,
Dai Dejian,
Huang Jichao,
Zhou Jun,
Gui Qifa, Dai Fang
Critical Reviews in Food Science and Nutrition. 2018 58(12). p.2099
Model robustness improvement by absorption and reduced scattering spectra in short wave near infrared spectral region
He Xueming,
Fu Xiaping, Rao Xiuqin
Biosystems Engineering. 2018 176 p.114
Prediction of quality of intact olives by near infrared spectroscopy
Cayuela José Antonio, Camino María del Carmen Pérez
European Journal of Lipid Science and Technology. 2010 112(11). p.1209
The Optimal Local Model Selection for Robust and Fast Evaluation of Soluble Solid Content in Melon with Thick Peel and Large Size by Vis-NIR Spectroscopy
Zhang Dongyan,
Xu Lu,
Wang Qingyan,
Tian Xi, Li Jiangbo
Food Analytical Methods. 2019 12(1). p.136
Vis/NIR soluble solids prediction in intact oranges (Citrus sinensis L.) cv. Valencia Late by reflectance
Cayuela J.A.
Postharvest Biology and Technology. 2008 47(1). p.75
Infrared Spectroscopy - Principles, Advances, and Applications (2019)
NIRS Detection of Moldy Core in Apples
Shenderey Clara,
Shmulevich Itzhak,
Alchanatis Victor,
Egozi Haim,
Hoffman Aharon,
Ostrovsky Viacheslav,
Lurie Susan,
Ben Arie Ruth, Schmilovitch Ze’ev
Food and Bioprocess Technology. 2010 3(1). p.79
Potential of Near-Infrared (NIR) Spectroscopy and Hyperspectral Imaging for Quality and Safety Assessment of Fruits: an Overview
Chandrasekaran Indurani,
Panigrahi Shubham Subrot,
Ravikanth Lankapalli, Singh Chandra B.
Food Analytical Methods. 2019 12(11). p.2438
Non-destructive measurement of soluble solids content of three melon cultivars using portable visible/near infrared spectroscopy
Li Ming,
Han Donghai, Liu Wen
Biosystems Engineering. 2019 188 p.31
Limitations to the measurement of intact melon total soluble solids using near infrared spectroscopy
Long Robert L., Walsh Kerry B.
Australian Journal of Agricultural Research. 2006 57(4). p.403
Better Quality Food and Beverages: The Role of near Infrared Spectroscopy
Woodcock Tony,
Downey Gerard, O'Donnell Colm P.
Journal of Near Infrared Spectroscopy. 2008 16(1). p.1
Indirect Prediction of Dry Matter in Durian Pulp With Combined Features Using Miniature NIR Spectrophotometer
Puttipipatkajorn Amornrit,
Terdwongworakul Anupun,
Puttipipatkajorn Amorndej,
Kulmutiwat Supachai,
Sangwanangkul Peerapong, Cheepsomsong Thana
IEEE Access. 2023 11 p.84810
Fruit juice authentication by 1H NMR spectroscopy in combination with different chemometrics tools
Cuny M.,
Vigneau E.,
Le Gall G.,
Colquhoun I.,
Lees M., Rutledge D. N.
Analytical and Bioanalytical Chemistry. 2008 390(1). p.419
Applications of Non-destructive Technologies for Agricultural and Food Products Quality Inspection
El-Mesery Hany,
Mao Hanping, Abomohra Abd
Sensors. 2019 19(4). p.846
Non-destructive evaluation of soluble solid content in fruits with various skin thicknesses using visible–shortwave near-infrared spectroscopy
Pratiwi Evia Zunita D.,
Pahlawan Muhammad F. R.,
Rahmi Diah N.,
Amanah Hanim Z., Masithoh Rudiati E.
Open Agriculture. 2023 8(1).
Melon Surface Color and Texture Analysis for Estimation of Soluble Solids Content and Firmness
Suh Sang-Ryong,
Lee Kyeong-Hwan,
Yu Seung-Hwa,
Shin Hwa-Sun,
Choi Young-Soo, Yoo Soo-Nam
Journal of Biosystems Engineering. 2012 37(4). p.252
Theory and application of near infrared spectroscopy in assessment of fruit quality: a review
Lin Hongjian, Ying Yibin
Sensing and Instrumentation for Food Quality and Safety. 2009 3(2). p.130
Fruit and Vegetable Phytochemicals (2017)
Quality Control of Honey Using Infrared Spectroscopy: A Review
Cozzolino D.,
Corbella E., Smyth H. E.
Applied Spectroscopy Reviews. 2011 46(7). p.523
Is this melon sweet? A quantitative classification for near-infrared spectroscopy
Zeb Ayesha,
Qureshi Waqar S.,
Ghafoor Abdul,
Malik Amanullah,
Imran Muhammad,
Iqbal Javaid, Alanazi Eisa
Infrared Physics & Technology. 2021 114 p.103645
Nondestructive Quality Assessment Techniques for Fresh Fruits and Vegetables (2022)
Postharvest quality of apple predicted by NIR-spectroscopy: Study of the effect of biological variability on spectra and model performance
Bobelyn Els,
Serban Anca-Sabina,
Nicu Mihai,
Lammertyn Jeroen,
Nicolai Bart M., Saeys Wouter
Postharvest Biology and Technology. 2010 55(3). p.133
Comparative Study of Two Different Strategies for Determination of Soluble Solids Content of Apples From Multiple Geographical Regions by Using FT-NIR Spectroscopy
Tian Guangzhao,
Li Xiaona,
Zhang Baohua,
Zhou Jun, Gu Baoxing
IEEE Access. 2019 7 p.179734
Nondestructive determination of soluble solids and firmness in mix-cultivar melon using near-infrared CCD spectroscopy
Lu Jie,
Qi Shuye,
Liu Ran,
Zhou Enyang,
Li Wu,
Song Shuhui, Han Donghai
Journal of Innovative Optical Health Sciences. 2015 08(06). p.1550032
Non-destructive evaluation of maturity and quality parameters of pomegranate fruit by visible/near infrared spectroscopy
Khodabakhshian Rasool,
Emadi Bagher,
Khojastehpour Mehdi,
Golzarian Mahmood Reza, Sazgarnia Ameneh
International Journal of Food Properties. 2017 20(1). p.41
Innovative Food Analysis (2021)
Multivariate data analysis applied to spectroscopy: Potential application to juice and fruit quality
Cozzolino D.,
Cynkar W.U.,
Shah N., Smith P.
Food Research International. 2011 44(7). p.1888
Development of NIR calibration models to assess year-to-year variation in total non-structural carbohydrates in grasses using PLSR
Shetty Nisha,
Gislum René,
Jensen Anne Mette Dahl, Boelt Birte
Chemometrics and Intelligent Laboratory Systems. 2012 111(1). p.34
NIR prediction of fruit moisture, free acidity and oil content in intact olives
Cayuela José Antonio,
García José María,
García José María,
Caliani Nuria, Caliani Nuria
Grasas y Aceites. 2009 60(2). p.194
Development of a Common Calibration Model for Determining the Brix Value of Intact Apple, Pear and Persimmon Fruits by near Infrared Spectroscopy
Jannok Piyamart,
Kamitani Yoshinori, Kawano Sumio
Journal of Near Infrared Spectroscopy. 2014 22(5). p.367
Non-destructive prediction of internal and external quality attributes of fruit with thick rind: A review
Arendse Ebrahiema,
Fawole Olaniyi Amos,
Magwaza Lembe Samukelo, Opara Umezuruike Linus
Journal of Food Engineering. 2018 217 p.11
Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: A review
Nicolaï Bart M.,
Beullens Katrien,
Bobelyn Els,
Peirs Ann,
Saeys Wouter,
Theron Karen I., Lammertyn Jeroen
Postharvest Biology and Technology. 2007 46(2). p.99
Hyperspectral Imaging with Machine Learning Approaches for Assessing Soluble Solids Content of Tribute Citru
Li Cheng,
He Mengyu,
Cai Zeyi,
Qi Hengnian,
Zhang Jianhong, Zhang Chu
Foods. 2023 12(2). p.247
Nondestructive Methods for the Quality Assessment of Fruits and Vegetables Considering Their Physical and Biological Variability
Tian Shijie, Xu Huirong
Food Engineering Reviews. 2022 14(3). p.380
Postharvest firmness behaviour of near-isogenic lines of melon
Tijskens L.M.M.,
Dos-Santos N.,
Jowkar M.M.,
Obando-Ulloa J.M.,
Moreno E.,
Schouten R.E.,
Monforte A.J., Fernández-Trujillo J.P.
Postharvest Biology and Technology. 2009 51(3). p.320
Accurate prediction of soluble solid content of apples from multiple geographical regions by combining deep learning with spectral fingerprint features
Bai Yuhao,
Xiong Yingjun,
Huang Jichao,
Zhou Jun, Zhang Baohua
Postharvest Biology and Technology. 2019 156 p.110943
Prediction of Total Soluble Solid Content in Intact and Cut Melons and Watermelons Using near Infrared Spectroscopy
Flores K.,
Sánchez M.T.,
Pérez-Marín D.C.,
López M.D.,
Guerrero J.E., Garrido-Varo A.
Journal of Near Infrared Spectroscopy. 2008 16(2). p.91
First steps to predicting pulp colour in whole melons using near-infrared reflectance spectroscopy
Sánchez María-Teresa,
Torres Irina,
De la Haba María-José, Pérez-Marín Dolores
Biosystems Engineering. 2014 123 p.12
Non-destructive classification of melon sweetness levels using segmented rind properties based on semantic segmentation models
Ho Trang-Thi,
Hoang Thang,
Tran Khoa-Dang,
Huang Yennun, Le Nguyen Quoc Khanh
Journal of Food Measurement and Characterization. 2023 17(6). p.5913
An Evaluating Technique for Variety Compatibility of Fruit Applied to a near Infrared Brix Calibration System: A Case Study Using Brix Calibration for Nectarines
Reita Giorgio,
Peano Cristiana,
Saranwong Sirinnapa, Kawano Sumio
Journal of Near Infrared Spectroscopy. 2008 16(2). p.83
Combining PLS regression with portable NIR spectroscopy to on-line monitor quality parameters in intact olives for determining optimal harvesting time
Fernández-Espinosa Antonio J.
Talanta. 2016 148 p.216
