{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T14:16:50Z","timestamp":1783606610737,"version":"3.55.0"},"reference-count":56,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["32172308"],"award-info":[{"award-number":["32172308"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computers and Electronics in Agriculture"],"published-print":{"date-parts":[[2026,9]]},"DOI":"10.1016\/j.compag.2026.111976","type":"journal-article","created":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T10:58:57Z","timestamp":1780570737000},"page":"111976","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["An innovative approach to SCC prediction in cow\u2019s milk using a low-cost RF\/MW dielectric probe combined with DWT-CNN model"],"prefix":"10.1016","volume":"251","author":[{"given":"Wei","family":"Liu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiahui","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yue","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9576-7690","authenticated-orcid":false,"given":"Xinhua","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenchuan","family":"Guo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xin","family":"L\u00fc","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hairong","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"3","key":"10.1016\/j.compag.2026.111976_b0005","doi-asserted-by":"crossref","first-page":"331","DOI":"10.1007\/s13594-015-0213-x","article-title":"Monitoring of somatic cells in milk via laser analytical techniques for the early detection of mastitis","volume":"95","author":"Abdel-Salam","year":"2015","journal-title":"Dairy Science & Technology"},{"issue":"9","key":"10.1016\/j.compag.2026.111976_b0010","doi-asserted-by":"crossref","first-page":"8433","DOI":"10.3168\/jds.2020-18320","article-title":"Comparison of methods for predicting cow composite somatic cell counts","volume":"103","author":"Anglart","year":"2020","journal-title":"Journal of dairy science"},{"issue":"19","key":"10.1016\/j.compag.2026.111976_b0015","doi-asserted-by":"crossref","first-page":"22323","DOI":"10.1109\/JSEN.2023.3307281","article-title":"Water holdup measurement in oil\u2013water flows with staggered double helix microwave sensor","volume":"23","author":"Bai","year":"2023","journal-title":"IEEE Sensors Journal"},{"key":"10.1016\/j.compag.2026.111976_b0020","doi-asserted-by":"crossref","DOI":"10.1016\/j.measurement.2022.112389","article-title":"Design of an octagonal-shaped curved sensor antenna for dielectric characterization of liquids","volume":"207","author":"Bicer","year":"2023","journal-title":"Measurement"},{"issue":"1","key":"10.1016\/j.compag.2026.111976_b0025","doi-asserted-by":"crossref","first-page":"508","DOI":"10.3168\/jds.2023-23629","article-title":"Exploring the sources of variation of electrical conductivity and total and differential somatic cell count in Italian Mediterranean buffaloes","volume":"107","author":"Bobbo","year":"2024","journal-title":"Journal of Dairy Science"},{"key":"10.1016\/j.compag.2026.111976_b0030","doi-asserted-by":"crossref","first-page":"563","DOI":"10.1016\/j.talanta.2017.02.047","article-title":"Reference-free spectroscopic determination of fat and protein in milk in the visible and near infrared region below 1000 nm using spatially resolved diffuse reflectance fiber probe","volume":"167","author":"Bogomolov","year":"2017","journal-title":"Talanta"},{"key":"10.1016\/j.compag.2026.111976_b0035","doi-asserted-by":"crossref","DOI":"10.1016\/j.snb.2019.127000","article-title":"Molecularly imprinted electrochemical impedance sensor for sensitive dibutyl phthalate (DBP) determination","volume":"299","author":"Bolat","year":"2019","journal-title":"Sensors and Actuators B: Chemical"},{"key":"10.1016\/j.compag.2026.111976_b0040","doi-asserted-by":"crossref","DOI":"10.1016\/j.compag.2022.107586","article-title":"Application and research progress of infrared thermography in temperature measurement of livestock and poultry animals: A review","volume":"205","author":"Cai","year":"2023","journal-title":"Computers and Electronics in Agriculture"},{"key":"10.1016\/j.compag.2026.111976_b0045","doi-asserted-by":"crossref","DOI":"10.1016\/j.foodres.2025.115868","article-title":"Diameter-independent determination of apple watercore using microwave free-space and finite element methods","volume":"204","author":"Cao","year":"2025","journal-title":"Food Research International"},{"key":"10.1016\/j.compag.2026.111976_b0050","article-title":"Deep learning in food authenticity: Recent advances and future trends","volume":"104344","author":"Deng","year":"2024","journal-title":"Trends in Food Science & Technology"},{"key":"10.1016\/j.compag.2026.111976_b0055","doi-asserted-by":"crossref","first-page":"5873","DOI":"10.1002\/jsfa.12658","article-title":"Hydration dominates dielectric spectroscopy-based high accuracy quantification of lactose content in cow\u2019s milk","volume":"103","author":"Fang","year":"2023","journal-title":"Journal of the Science of Food and Agriculture"},{"key":"10.1016\/j.compag.2026.111976_b0060","article-title":"Wavelet convolutions for large receptive fields","author":"Finder","year":"2024","journal-title":"Paper presented at the European Conference on Computer Vision, Cham, Switzerland."},{"issue":"7","key":"10.1016\/j.compag.2026.111976_b0065","doi-asserted-by":"crossref","first-page":"5386","DOI":"10.1016\/j.asr.2025.01.048","article-title":"Estimation of soil chromium content using visible and near-infrared spectroscopy coupled with discrete wavelet transform and long short-term memory model","volume":"75","author":"Fu","year":"2025","journal-title":"Advances in Space Research"},{"issue":"3","key":"10.1016\/j.compag.2026.111976_b0070","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1016\/0301-9322(88)90046-8","article-title":"A capacitance sensor for two-phase void fraction measurement and flow pattern identification","volume":"14","author":"Geraets","year":"1988","journal-title":"International Journal of Multiphase Flow"},{"key":"10.1016\/j.compag.2026.111976_b0075","doi-asserted-by":"crossref","DOI":"10.1016\/j.compag.2024.108744","article-title":"Comparative study of Vis\/NIR reflectance and transmittance method for on-line detection of strawberry SSC","volume":"218","author":"Guo","year":"2024","journal-title":"Computers and Electronics in Agriculture"},{"key":"10.1016\/j.compag.2026.111976_b0080","doi-asserted-by":"crossref","DOI":"10.1016\/j.snb.2020.129355","article-title":"A non-contact planar microwave sensor for detection of high-salinity water containing NaCl, KCl, CaCl2, MgCl2 and Na2CO3","volume":"331","author":"Harnsoongnoen","year":"2021","journal-title":"Sensors and Actuators B: Chemical"},{"key":"10.1016\/j.compag.2026.111976_bib271","unstructured":"ISO (International Organization for Standardization). 2006. ISO 13366\u20132: Milk-Enumeration of somatic cells - Part 2: Guidance on the operation of fluoro-opto-electronic counters. ISO."},{"issue":"1","key":"10.1016\/j.compag.2026.111976_b0085","first-page":"145","article-title":"Online near-infrared spectroscopy for the measurement of cow milk quality in an automatic milking system","volume":"56","author":"Iweka","year":"2023","journal-title":"Engineering Proceedings"},{"issue":"2","key":"10.1016\/j.compag.2026.111976_b0090","doi-asserted-by":"crossref","DOI":"10.1002\/mmce.22962","article-title":"CSIWC RF sensor for micro-fluidic non-contact quality assessment of milk","volume":"32","author":"Jain","year":"2022","journal-title":"International Journal of RF and Microwave Computer-Aided Engineering"},{"issue":"11","key":"10.1016\/j.compag.2026.111976_b0095","doi-asserted-by":"crossref","DOI":"10.1016\/j.asej.2025.103677","article-title":"DeepPQDs-DWT-STNet: A novel DWT-ST and hybrid deep learning framework for power quality disturbance classification","volume":"16","author":"Jayasree","year":"2025","journal-title":"Ain Shams Engineering Journal"},{"issue":"2","key":"10.1016\/j.compag.2026.111976_b0100","doi-asserted-by":"crossref","first-page":"1417","DOI":"10.3168\/jds.2018-14993","article-title":"Ability of milk pH to predict subclinical mastitis and intramammary infection in quarters from lactating dairy cattle","volume":"102","author":"Kandeel","year":"2019","journal-title":"Journal of dairy science"},{"issue":"1","key":"10.1016\/j.compag.2026.111976_b0105","doi-asserted-by":"crossref","first-page":"530","DOI":"10.1109\/TMTT.2017.2708708","article-title":"Design and dynamic characterization of an orientation insensitive microwave water-cut sensor","volume":"66","author":"Karimi","year":"2018","journal-title":"IEEE Transactions on Microwave Theory and Techniques"},{"issue":"1","key":"10.1016\/j.compag.2026.111976_b0110","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1007\/s00339-023-07233-5","article-title":"Non-invasive detection of multiple analytes in dairy industry using heterogeneous ring resonating sensor","volume":"130","author":"Karthikeyan","year":"2024","journal-title":"Applied Physics A"},{"issue":"1","key":"10.1016\/j.compag.2026.111976_b0115","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1016\/j.compag.2008.01.006","article-title":"Near-infrared spectroscopic sensing system for on-line milk quality assessment in a milking robot","volume":"63","author":"Kawasaki","year":"2008","journal-title":"Computers and Electronics in Agriculture"},{"key":"10.1016\/j.compag.2026.111976_b0120","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1007\/s40003-025-00840-z","article-title":"Dielectric spectroscopy: Process and quality monitoring of dairy products: A review","volume":"14","author":"Kumari","year":"2025","journal-title":"Agricultural Research"},{"issue":"8","key":"10.1016\/j.compag.2026.111976_b0125","doi-asserted-by":"crossref","DOI":"10.1002\/lpor.202300768","article-title":"Deep learning-driven robust glucose sensing and fruit Brix estimation using a single microwave split ring resonator","volume":"18","author":"Lee","year":"2024","journal-title":"Laser & Photonics Reviews"},{"issue":"11","key":"10.1016\/j.compag.2026.111976_b0145","doi-asserted-by":"crossref","first-page":"7791","DOI":"10.1111\/1750-3841.17420","article-title":"Dielectric spectroscopy technology combined with machine learning methods for nondestructive detection of protein content in fresh milk","volume":"89","author":"Liang","year":"2024","journal-title":"Journal of Food Science"},{"key":"10.1016\/j.compag.2026.111976_b0135","doi-asserted-by":"crossref","unstructured":"Li, L., Wen, Z., & Wang, Z. (2016). Outlier detection and correction during the process of groundwater level monitoring based on Pauta criterion with self-learning and smooth processing. In Asian Simulation Conference (pp. 497-503). Singapore: Springer Nature Singapore. https:\/\/doi.org\/10.1007\/978-981-10-2663-851.","DOI":"10.1007\/978-981-10-2663-8_51"},{"key":"10.1016\/j.compag.2026.111976_b0140","doi-asserted-by":"crossref","DOI":"10.1016\/j.compag.2023.107810","article-title":"Improved prediction of soil exchangeable sodium percentage (ESP) using wavelet","volume":"209","author":"Li","year":"2023","journal-title":"Computers and Electronics in Agriculture"},{"key":"10.1016\/j.compag.2026.111976_b0130","doi-asserted-by":"crossref","DOI":"10.1016\/j.foodchem.2024.141373","article-title":"Quantitative prediction of minced chicken gel strength under ultrasonic treatment by NIR spectroscopy coupled with nonlinear chemometric tools evaluated using APaRPs","volume":"463","author":"Li","year":"2025","journal-title":"Food Chemistry"},{"key":"10.1016\/j.compag.2026.111976_b0150","doi-asserted-by":"crossref","DOI":"10.1016\/j.compag.2024.109460","article-title":"A two-port microwave sensor for real-time liquid fertilizer concentration measurement system with Internet of Things","volume":"226","author":"Lim","year":"2024","journal-title":"Computers and Electronics in Agriculture"},{"key":"10.1016\/j.compag.2026.111976_b0155","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1016\/j.tifs.2021.04.042","article-title":"Efficient extraction of deep image features using convolutional neural network (CNN) for applications in detecting and analysing complex food matrices","volume":"113","author":"Liu","year":"2021","journal-title":"Trends in Food Science & Technology"},{"key":"10.1016\/j.compag.2026.111976_b0160","doi-asserted-by":"crossref","DOI":"10.1016\/j.jfca.2024.105996","article-title":"Principles and applications of convolutional neural network for spectral analysis in food quality evaluation: A review","volume":"128","author":"Luo","year":"2024","journal-title":"Journal of Food Composition and Analysis"},{"issue":"4","key":"10.1016\/j.compag.2026.111976_b0165","doi-asserted-by":"crossref","first-page":"674","DOI":"10.1109\/34.192463","article-title":"A theory for multiresolution signal decomposition: The wavelet representation","volume":"11","author":"Mallat","year":"1989","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"10.1016\/j.compag.2026.111976_b0170","doi-asserted-by":"crossref","DOI":"10.1016\/j.measurement.2022.111397","article-title":"Test tube dedicated microwave liquid dielectric sensor for non-contact properties change monitoring and material characterization with tube exchange capability","volume":"198","author":"Piekarz","year":"2022","journal-title":"Measurement"},{"issue":"10","key":"10.1016\/j.compag.2026.111976_b0175","doi-asserted-by":"crossref","DOI":"10.1002\/advs.202105553","article-title":"Dielectric loss mechanism in electromagnetic wave absorbing materials","volume":"9","author":"Qin","year":"2022","journal-title":"Advanced Science"},{"key":"10.1016\/j.compag.2026.111976_b0180","doi-asserted-by":"crossref","unstructured":"Redzwan, S., Perez, M. D., Velander, J., Augustine, R., 2018. Study of maturity fruit assessment using permittivity and microwave reflectivity measurements for quality classification. Paper presented at the IEEE Conference on Antenna Measurements & Applications (CAMA), Vasteras, Sweden. https:\/\/doi.org\/10.1109\/CAMA.2018.8530481.","DOI":"10.1109\/CAMA.2018.8530481"},{"issue":"6","key":"10.1016\/j.compag.2026.111976_b0185","doi-asserted-by":"crossref","first-page":"1457","DOI":"10.1109\/TBME.2014.2369991","article-title":"Adhesive RFID sensor patch for monitoring of sweat electrolytes","volume":"62","author":"Rose","year":"2014","journal-title":"IEEE Transactions on Biomedical Engineering"},{"key":"10.1016\/j.compag.2026.111976_b0190","article-title":"A comparative analysis of deep learning and chemometric approaches for spectral data modeling","volume":"1347","author":"R\u00faben","year":"2025","journal-title":"Analytica Chimica Acta"},{"key":"10.1016\/j.compag.2026.111976_b0195","doi-asserted-by":"crossref","DOI":"10.1016\/j.atech.2025.100782","article-title":"Non-invasive prediction of sweet cherry soluble solids content using dielectric spectroscopy and down-sampling techniques","volume":"10","author":"Sacilik","year":"2025","journal-title":"Smart Agricultural Technology"},{"issue":"5","key":"10.1016\/j.compag.2026.111976_b0200","doi-asserted-by":"crossref","first-page":"174","DOI":"10.3103\/S1068335624600566","article-title":"Detection of somatic cells in milk using laser light scattering","volume":"51","author":"Shkirin","year":"2024","journal-title":"Bulletin of the Lebedev Physics Institute"},{"key":"10.1016\/j.compag.2026.111976_b0205","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1016\/j.tifs.2023.03.020","article-title":"Milk somatic cell count: From conventional microscope method to new biosensor-based method","volume":"135","author":"Sun","year":"2023","journal-title":"Trends in Food Science & Technology"},{"key":"10.1016\/j.compag.2026.111976_bib272","series-title":"MATLAB version: 24.1 (R2024a)","year":"2024"},{"key":"10.1016\/j.compag.2026.111976_b0210","doi-asserted-by":"crossref","DOI":"10.1016\/j.foodcont.2025.111482","article-title":"From grain to gain: Bridging conventional methods with chemometric innovations in cereal quality analysis through near-infrared spectroscopy (NIRS)","volume":"178","author":"Tomar","year":"2025","journal-title":"Food Control"},{"issue":"6","key":"10.1016\/j.compag.2026.111976_b0215","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1255\/jnirs.868","article-title":"Near infrared spectroscopy using short wavelengths and leave-one-cow-out cross-validation for quantification of somatic cells in milk","volume":"17","author":"Tsenkova","year":"2009","journal-title":"Journal of Near Infrared Spectroscopy"},{"key":"10.1016\/j.compag.2026.111976_b0220","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1016\/j.cogr.2025.05.002","article-title":"PCCNN: A CNN classification model integrating EEG time-frequency features for stroke classification","volume":"5","author":"Wang","year":"2025","journal-title":"Cognitive Robotics"},{"issue":"11","key":"10.1016\/j.compag.2026.111976_b0225","doi-asserted-by":"crossref","first-page":"1325","DOI":"10.21273\/HORTSCI16136-21","article-title":"Nondestructive detection of internal flavor in \u2018Shatian\u2019 pomelo fruit based on visible\/near infrared spectroscopy","volume":"56","author":"Xu","year":"2021","journal-title":"HortScience"},{"key":"10.1016\/j.compag.2026.111976_b0230","doi-asserted-by":"crossref","DOI":"10.1016\/j.sna.2024.115448","article-title":"Innovative sensor design for reliable detection of formaldehyde adulteration in milk","volume":"373","author":"Yadav","year":"2024","journal-title":"Sensors and Actuators A: Physical"},{"key":"10.1016\/j.compag.2026.111976_b0235","doi-asserted-by":"crossref","DOI":"10.1016\/j.lwt.2023.115424","article-title":"A novel determination method of milk somatic cell count based on dielectric relaxation parameters","volume":"188","author":"Yang","year":"2023","journal-title":"LWT"},{"issue":"15","key":"10.1016\/j.compag.2026.111976_b0240","doi-asserted-by":"crossref","first-page":"9277","DOI":"10.1002\/jsfa.13750","article-title":"Dielectric relaxation parameters combining raw milk compositions to improve the prediction performance of milk somatic cell count","volume":"104","author":"Yang","year":"2024","journal-title":"Journal of the Science of Food and Agriculture"},{"key":"10.1016\/j.compag.2026.111976_b0245","doi-asserted-by":"crossref","DOI":"10.1016\/j.compag.2025.110565","article-title":"An integrated grade classification model to evaluate raw milk quality","volume":"237","author":"Yang","year":"2025","journal-title":"Computers and Electronics in Agriculture"},{"key":"10.1016\/j.compag.2026.111976_b0250","doi-asserted-by":"crossref","DOI":"10.1016\/j.jestch.2025.102172","article-title":"High-sensitivity microwave sensor for buffalo milk fat rate and adulteration analysis with branch line coupler","volume":"71","author":"Y\u0131ld\u0131r\u0131m","year":"2025","journal-title":"Engineering Science and Technology, an International Journal"},{"issue":"39","key":"10.1016\/j.compag.2026.111976_b0255","doi-asserted-by":"crossref","first-page":"13770","DOI":"10.1039\/D0TC03571H","article-title":"Quantitative measurements of the somatic cell count of fat-free milk based on droplet microfluidics","volume":"8","author":"Zeng","year":"2020","journal-title":"Journal of Materials Chemistry C"},{"issue":"9","key":"10.1016\/j.compag.2026.111976_b0260","doi-asserted-by":"crossref","first-page":"6446","DOI":"10.1109\/TIM.2020.2972655","article-title":"Development of multifrequency-swept microwave sensing system for moisture measurement of sweet corn with deep neural network","volume":"69","author":"Zhang","year":"2020","journal-title":"IEEE Transactions on Instrumentation and Measurement"},{"issue":"2","key":"10.1016\/j.compag.2026.111976_b0265","doi-asserted-by":"crossref","first-page":"312","DOI":"10.1080\/10408398.2020.1731417","article-title":"Recent developments on rapid detection of main constituents in milk: A review","volume":"61","author":"Zhu","year":"2021","journal-title":"Critical Reviews in Food Science and Nutrition"},{"issue":"1","key":"10.1016\/j.compag.2026.111976_b0270","doi-asserted-by":"crossref","first-page":"772","DOI":"10.3168\/jds.2021-20828","article-title":"Quantitatively determining the somatic cell count of raw milk using dielectric spectra and support vector regression","volume":"105","author":"Zhu","year":"2022","journal-title":"Journal of Dairy Science"}],"container-title":["Computers and Electronics in Agriculture"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0168169926005715?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0168169926005715?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T13:31:01Z","timestamp":1783603861000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0168169926005715"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9]]},"references-count":56,"alternative-id":["S0168169926005715"],"URL":"https:\/\/doi.org\/10.1016\/j.compag.2026.111976","relation":{},"ISSN":["0168-1699"],"issn-type":[{"value":"0168-1699","type":"print"}],"subject":[],"published":{"date-parts":[[2026,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"An innovative approach to SCC prediction in cow\u2019s milk using a low-cost RF\/MW dielectric probe combined with DWT-CNN model","name":"articletitle","label":"Article Title"},{"value":"Computers and Electronics in Agriculture","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.compag.2026.111976","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"111976"}}