{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,14]],"date-time":"2026-08-14T12:37:14Z","timestamp":1786711034098,"version":"build-2736575974"},"reference-count":65,"publisher":"MDPI AG","issue":"16","license":[{"start":{"date-parts":[[2026,8,14]],"date-time":"2026-08-14T00:00:00Z","timestamp":1786665600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100005703","name":"Scientific Research Projects Coordination Unit of Akdeniz University, T\u00fcrkiye","doi-asserted-by":"publisher","award":["FKA-2019-4614"],"award-info":[{"award-number":["FKA-2019-4614"]}],"id":[{"id":"10.13039\/501100005703","id-type":"DOI","asserted-by":"publisher"}]},{"award":["FKA-2019-4614"],"award-info":[{"award-number":["FKA-2019-4614"]}],"id":[{"id":"https:\/\/ror.org\/01m59r132","id-type":"ROR","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>This study presents and validates a modular Internet of Farming (IoF) sensing architecture designed for high-fidelity microclimate monitoring to address the spatial biases in reference evapotranspiration (ET0) estimation for precision viticulture. Deployed in a Mediterranean vineyard in Antalya, T\u00fcrkiye, the system demonstrated high operational robustness with a 98.6% data completion rate over an annual cycle. Comparative analysis between field-level IoF data and regional meteorological station (TSMS) records revealed a systematic overestimation of ET0 by regional networks (MBE = \u22120.695 mm\/day, MAPE = 10.56%). Sensitivity analysis identified discrepancies in wind speed (36.6%), net radiation (31%), and relative humidity (30%) as the primary physical drivers of this spatial bias, with air temperature serving as a seasonal index for their integrated intensification rather than as a direct dominant contributor (~2.4%). Results indicate that reliance on regional data would lead to an irrigation surplus of approximately 97.5 mm (11.4%) during the growing season. The findings underscore the critical role of localized sensing layers in resolving microclimatic heterogeneities that regional grids fail to capture within the specific site and year examined. While these results motivate further investigation into IoF-based architectures as a potentially transferable framework for ET0 bias correction, broader generalisation to other crops, climate regimes, and management systems remains a promising avenue for future multi-site, multi-year validation rather than an established conclusion of the present study.<\/jats:p>","DOI":"10.3390\/s26165154","type":"journal-article","created":{"date-parts":[[2026,8,14]],"date-time":"2026-08-14T11:57:46Z","timestamp":1786708666000},"page":"5154","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Development and Validation of an IoF-Based Sensing Architecture for Microclimate Monitoring: Quantifying Spatial ET0 Bias in Mediterranean Viticulture"],"prefix":"10.3390","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6302-4574","authenticated-orcid":false,"given":"Okan","family":"Oral","sequence":"first","affiliation":[{"name":"Department of Mechanical Engineering, Faculty of Engineering, Akdeniz University, Antalya 07070, T\u00fcrkiye"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1794-9242","authenticated-orcid":false,"given":"Mustafa","family":"Cakir","sequence":"additional","affiliation":[{"name":"Department of UAV Technology, Iskenderun Technical University, Iskenderun 31200, T\u00fcrkiye"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0206-5003","authenticated-orcid":false,"given":"Nuri","family":"Caglayan","sequence":"additional","affiliation":[{"name":"Department of Agricultural Machinery and Technology Engineering, Akdeniz University, Antalya 07070, T\u00fcrkiye"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8154-6993","authenticated-orcid":false,"given":"Huseyin Kursat","family":"Celik","sequence":"additional","affiliation":[{"name":"Department of Agricultural Machinery and Technology Engineering, Akdeniz University, Antalya 07070, T\u00fcrkiye"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2026,8,14]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1016\/S0378-3774(02)00075-6","article-title":"Irrigation management under water scarcity","volume":"57","author":"Pereira","year":"2002","journal-title":"Agric. Water Manag."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Jalal, A., Farhan, M., Ullah, S., Nasim, W., Zafar, M.M., and Fahad, S. (2024). A Review of Precision Irrigation Water-Saving Technology under Changing Climate for Enhancing Water Use Efficiency, Crop Yield, and Environmental Footprints. Agriculture, 14.","DOI":"10.3390\/agriculture14071141"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Doorenbos, J., and Kassam, A.H. (1979). Yield Response to Water, FAO. No: 33; FAO Irrigation and Drainage Paper.","DOI":"10.1016\/B978-0-08-025675-7.50021-2"},{"key":"ref_4","unstructured":"Allen, R.G., Pereira, L.S., Raes, D., and Smith, M. (1998). Crop Evapotranspiration: Guidelines for Computing Crop Water Requirements. FAO Irrigation and Drainage Paper No. 56, FAO. Available online: https:\/\/www.fao.org\/4\/x0490e\/x0490e00.htm#Contents."},{"key":"ref_5","first-page":"118","article-title":"Comparison of Computer Software Used for Calculation of Reference Crop Evapotranspiration","volume":"6","author":"Karaca","year":"2017","journal-title":"Gaziosmanpasa J. Sci. Res."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"144","DOI":"10.1016\/j.jhydrol.2011.02.031","article-title":"Guidelines on validation procedures for meteorological data from automatic weather stations","volume":"402","year":"2011","journal-title":"J. Hydrol."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Amarkai, P.A., and S\u00fcheri, S. (2024). Comparative Evaluation of Crop Evapotranspiration Estimation Methods in a Semi-Arid Region. Sustainability, 16.","DOI":"10.3390\/su162411133"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1007\/s00271-011-0295-z","article-title":"Comparative Analysis of 31 Reference Evapotranspiration Methods under Humid Conditions","volume":"31","author":"Tabari","year":"2013","journal-title":"Irrig. Sci."},{"key":"ref_9","first-page":"139","article-title":"Evaluation of Sixteen Reference Evapotranspiration Methods under Sahelian Conditions in the Senegal River Valley","volume":"3","author":"Djaman","year":"2015","journal-title":"J. Hydrol. Reg. Stud."},{"key":"ref_10","first-page":"1449","article-title":"Comparison of Different Methods for the Estimation of the Reference Crop Evapotranspiration in the Florina Region","volume":"2","author":"Ampas","year":"2007","journal-title":"WSEAS Trans. Environ. Dev."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1016\/j.agwat.2017.01.017","article-title":"Comparison of 16 Models for Reference Crop Evapotranspiration against Weighing Lysimeter Measurement","volume":"184","author":"Liu","year":"2017","journal-title":"Agric. Water Manag."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"447","DOI":"10.1080\/02626669109492530","article-title":"Intercomparison of Evapotranspiration Estimates","volume":"36","author":"Mohan","year":"1991","journal-title":"Hydrol. Sci. J."},{"key":"ref_13","first-page":"135","article-title":"Determination of evapotranspiration and crop coefficient for grass under different irrigation application in Konya centrum","volume":"19","author":"Kara","year":"2005","journal-title":"Selcuk J. Agric. Food Sci."},{"key":"ref_14","first-page":"1","article-title":"A Comparative Study of Crop Evapotranspiration Estimation by Three Methods with Measured Crop Evapotranspiration in Konya Plain","volume":"33","author":"Amarkai","year":"2019","journal-title":"Selcuk J. Agric. Food Sci."},{"key":"ref_15","first-page":"57","article-title":"Empirical Models Used in the Estimation of Crop Evapotranspiration in Semi Arid Region of Turkey","volume":"8","year":"2011","journal-title":"J. Adnan Menderes Univ. Agr\u0131c. Fac."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Rajkumar, M.N., Abinaya, S., and Kumar, V.V. (2017). Intelligent irrigation system\u2014an IoT based approach. Proceedings of the 2017 International Conference on Innovations in Green Energy and Healthcare Technologies (IGEHT), IEEE.","DOI":"10.1109\/IGEHT.2017.8094057"},{"key":"ref_17","first-page":"172","article-title":"The Concept of Internet of Things (IoT) and Creating a Sample Prototype","volume":"1","author":"Oral","year":"2017","journal-title":"J. Grad. Sch. Nat. Appl. Sci. Mehmet Akif Ersoy Univ. Spec. Issue"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Shi, X., An, X., Zhao, Q., Liu, H., Xia, L., Sun, X., and Guo, Y. (2019). State-of-the-Art Internet of Things in Protected Agriculture. Sensors, 19.","DOI":"10.3390\/s19081833"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Abba, S., Namkusong, J.W., Lee, J.A., and Crespo, M.L. (2019). Design and Performance Evaluation of a Low-Cost Autonomous Sensor Interface for a Smart IoT-Based Irrigation Monitoring and Control System. Sensors, 19.","DOI":"10.3390\/s19173643"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Rodr\u00edguez-Robles, J., Martin, \u00c1., Martin, S., Ruip\u00e9rez-Valiente, J.A., and Castro, M. (2020). Autonomous Sensor Network for Rural Agriculture Environments, Low Cost, and Energy Self-Charge. Sustainability, 12.","DOI":"10.3390\/su12155913"},{"key":"ref_21","first-page":"100776","article-title":"Internet of Things and Smart Sensors in Agriculture: Scopes and Challenges","volume":"14","author":"Rajak","year":"2023","journal-title":"J. Agric. Food Res."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"2022923","DOI":"10.1155\/2022\/2022923","article-title":"Crop Yield Maximization Using an IoT-Based Smart Decision","volume":"2022","author":"Ikram","year":"2022","journal-title":"J. Sens."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"3586","DOI":"10.3390\/s8063586","article-title":"Estimation of Actual Evapotranspiration by Remote Sensing: Application in Thessaly Plain, Greece","volume":"8","author":"Tsouni","year":"2008","journal-title":"Sensors"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Nauman, M.A., Saeed, M., Saidani, O., Javed, T., Almuqren, L., Bashir, R.N., and Jahangir, R. (2023). IoT and Ensemble Long-Short-Term-Memory-Based Evapotranspiration Forecasting for Riyadh. Sensors, 23.","DOI":"10.3390\/s23177583"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"70526","DOI":"10.1109\/ACCESS.2022.3187528","article-title":"Machine Learning Based Prediction of Reference Evapotranspiration (ET0) Using IoT","volume":"10","author":"Hu","year":"2022","journal-title":"IEEE Access"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"89","DOI":"10.3233\/AIS-220477","article-title":"Towards an Explainable Irrigation Scheduling Approach by Predicting Soil Moisture and Evapotranspiration via Multi-Target Regression","volume":"15","author":"Abdallah","year":"2023","journal-title":"J. Ambient. Intell. Smart Environ."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1016\/j.compag.2016.05.017","article-title":"Comparative Analysis of Reference Evapotranspiration Equations Modelling by Extreme Learning Machine","volume":"127","author":"Gocic","year":"2016","journal-title":"Comput. Electron. Agric."},{"key":"ref_28","first-page":"6702","article-title":"Long Short-Term Memory with Gated Recurrent Unit Based on Hyperparameter Settings and Hybridization for Reference Evapotranspiration Rate Prediction","volume":"100","author":"Hilmi","year":"2022","journal-title":"J. Theor. Appl. Inf. Technol."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Abdelmoneim, A.A., Kimaita, H.N., Al Kalaany, C.M., Derardja, B., Dragonetti, G., and Khadra, R. (2025). IoT Sensing for Advanced Irrigation Management: A Systematic Review of Trends, Challenges, and Future Prospects. Sensors, 25.","DOI":"10.3390\/s25072291"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"e2023WR034535","DOI":"10.1029\/2023WR034535","article-title":"Fast and Accurate Estimation of Evapotranspiration for Smart Agriculture","volume":"59","author":"Li","year":"2023","journal-title":"Water Resour. Res."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Jimenez-Berni, J.A., Cabello-Leblic, A., Lopez-Guerrero, A., Villalobos, F.J., Testi, L., and Fereres, E. (2023). Energy Balance Determination of Crop Evapotranspiration Using a Wireless Sensor Network. Front. Agron., 5.","DOI":"10.3389\/fagro.2023.1244633"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"100962","DOI":"10.1016\/j.iot.2023.100962","article-title":"Smart reference evapotranspiration using Internet of Things and hybrid ensemble machine learning approach","volume":"24","author":"Bashir","year":"2023","journal-title":"Internet Things"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"100727","DOI":"10.1016\/j.measen.2023.100727","article-title":"Microclimate Monitoring System for Irrigation Water Optimization Using IoT","volume":"27","author":"Mathew","year":"2023","journal-title":"Meas. Sens."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"e70012","DOI":"10.1002\/ird.70012","article-title":"IoT-Based Smart Fertigation Scheduling and Wireless Microclimate Monitoring for a Greenhouse Dutch Bucket Hydroponic System","volume":"74","author":"Hasan","year":"2025","journal-title":"Irrig. Drain."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Chandel, A.K., Khot, L.R., St\u00f6ckle, C.O., Kalcsits, L., Mantle, S., Rathnayake, A.P., and Peters, T.R. (2025). Canopy Transpiration Mapping in an Apple Orchard Using High-Resolution Airborne Spectral and Thermal Imagery with Weather Data. AgriEngineering, 7.","DOI":"10.3390\/agriengineering7050154"},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Bukhtoyarov, V.V., Nekrasov, I.S., Timofeenko, I.A., Gorodov, A.A., Kartushinskii, S.A., Trofimov, Y.V., and Lishik, S.I. (2025). Hybrid Digital Twin for Phytotron Microclimate Control: Integrating Physics-Based Modeling and IoT Sensor Networks. AgriEngineering, 7.","DOI":"10.3390\/agriengineering7090285"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"117597","DOI":"10.1016\/j.measurement.2025.117597","article-title":"Information Design Process for Measuring Evapotranspiration with an Electronic Atmometer","volume":"253","author":"Nikolaou","year":"2025","journal-title":"Measurement"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"100694","DOI":"10.1016\/j.cosrev.2024.100694","article-title":"A Comprehensive Review on Current Issues and Advancements of Internet of Things in Precision Agriculture","volume":"55","author":"Dhanasekar","year":"2025","journal-title":"Comput. Sci. Rev."},{"key":"ref_39","unstructured":"FAO (2025). FAOSTAT: Crops and Livestock Products\u2014Grapes, Food and Agriculture Organization of the United Nations. Available online: https:\/\/www.fao.org\/faostat\/en\/#data\/QCL."},{"key":"ref_40","unstructured":"TurkStat (2026, March 09). Crop Production Statistics (Grapes), 2025, Available online: https:\/\/veriportali.tuik.gov.tr\/en\/press\/53939."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Winkler, A.J., Cook, J.A., Kliewer, M.M., and Lider, L.A. (1974). General Viticulture, University of California Press.","DOI":"10.1525\/9780520353183"},{"key":"ref_42","unstructured":"Coombe, B.G., and Dry, P.R. (1992). Irrigation: Principles and Practices. Viticulture, Vol. 2: Practices, Winetitles\/Hyde Park Press."},{"key":"ref_43","first-page":"1","article-title":"An Update for the Definition of Reference Evapotranspiration","volume":"43","author":"Allen","year":"1994","journal-title":"ICID Bull."},{"key":"ref_44","unstructured":"World Meteorological Organization (WMO) (2018). Guide to Instruments and Methods of Observation, WMO. Available online: https:\/\/library.wmo.int\/records\/item\/41650-guide-to-instruments-and-methods-of-observation."},{"key":"ref_45","unstructured":"Jensen, M.E., Burman, R.D., and Allen, R.G. (1990). Evapotranspiration and Irrigation Water Requirements, American Society of Civil Engineers. ASCE Manuals and Reports on Engineering Practice No. 70."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"79","DOI":"10.3354\/cr030079","article-title":"Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance","volume":"30","author":"Willmott","year":"2005","journal-title":"Clim. Res."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"1247","DOI":"10.5194\/gmd-7-1247-2014","article-title":"Root Mean Square Error (RMSE) or Mean Absolute Error (MAE)?\u2014Arguments against avoiding RMSE in the Literature","volume":"7","author":"Chai","year":"2014","journal-title":"Geosci. Model Dev."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"365","DOI":"10.1016\/0378-3774(95)01152-9","article-title":"Statistical procedures for the evaluation of evapotranspiration computing models","volume":"27","author":"Jacovides","year":"1995","journal-title":"Agric. Water Manag."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"104513","DOI":"10.1016\/j.still.2019.104513","article-title":"Developing Novel Hybrid Models for Estimation of Daily Soil Temperature at Various Depths","volume":"197","author":"Mehdizadeh","year":"2020","journal-title":"Soil Tillage Res."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1016\/j.jhydrol.2009.08.003","article-title":"Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling","volume":"377","author":"Gupta","year":"2009","journal-title":"J. Hydrol."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"394","DOI":"10.1590\/1678-4499.2017054","article-title":"On the performance of three indices of agreement: An easy-to-use R-code for calculating the Willmott indices","volume":"77","author":"Pereira","year":"2018","journal-title":"Bragantia"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"2088","DOI":"10.1002\/joc.2419","article-title":"A refined index of model performance","volume":"32","author":"Willmott","year":"2012","journal-title":"Int. J. Climatol."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"1827","DOI":"10.5194\/hess-27-1827-2023","article-title":"Signal-Processing-Based Interpretation of the Nash\u2013Sutcliffe Efficiency","volume":"27","author":"Sawada","year":"2023","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1016\/j.rse.2004.02.017","article-title":"SMEX02: Field scale variability, time stability and similarity of soil moisture","volume":"92","author":"Jacobs","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"00200","DOI":"10.15406\/mojpb.2017.06.00200","article-title":"Correct use of percent coefficient of variation (%CV) formula for log-transformed data","volume":"6","author":"Canchola","year":"2017","journal-title":"MOJ Proteom. Bioinform."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1016\/0169-7722(91)90038-3","article-title":"Statistical and graphical methods for evaluating solute transport models: Overview and application","volume":"7","author":"Loague","year":"1991","journal-title":"J. Contam. Hydrol."},{"key":"ref_57","first-page":"1","article-title":"The energetic basis of the urban heat island","volume":"108","author":"Oke","year":"1982","journal-title":"Q. J. R. Meteorol. Soc."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1016\/j.rse.2009.10.008","article-title":"Remote sensing of the urban heat island effect across biomes in the continental USA","volume":"114","author":"Imhoff","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"1721","DOI":"10.1016\/j.jaridenv.2008.03.004","article-title":"The oasis effect in an extremely hot and arid climate: The case of southern Israel","volume":"72","author":"Potchter","year":"2008","journal-title":"J. Arid Environ."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"885","DOI":"10.13031\/2013.23153","article-title":"Model evaluation guidelines for systematic quantification of accuracy in watershed simulations","volume":"50","author":"Moriasi","year":"2007","journal-title":"Trans. ASABE"},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1016\/j.agwat.2005.05.001","article-title":"Regional calibration of Hargreaves equation for estimating reference ET in a semiarid environment","volume":"81","author":"Lorite","year":"2006","journal-title":"Agric. Water Manag."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"242","DOI":"10.1175\/2007JHM880.1","article-title":"Spatial estimation of reference evapotranspiration in Andalusia, Spain","volume":"9","author":"Vanderlinden","year":"2008","journal-title":"J. Hydrometeorol."},{"key":"ref_63","unstructured":"Davis Instruments (2026, July 27). EnviroMonitor Agricultural Monitoring Systems. Available online: https:\/\/www.davisinstruments.com\/pages\/enviromonitor."},{"key":"ref_64","unstructured":"Onset HOBO (2026, July 27). Weather Station Kits. Available online: https:\/\/www.onsetcomp.com\/weather-station-kits."},{"key":"ref_65","unstructured":"Onset HOBO (2026, July 27). HOBO RX3000 Remote Weather Station Starter Kit. Available online: https:\/\/www.onsetcomp.com\/products\/kit\/rx3004-sys-kit-813."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/26\/16\/5154\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,14]],"date-time":"2026-08-14T11:59:40Z","timestamp":1786708780000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/26\/16\/5154"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8,14]]},"references-count":65,"journal-issue":{"issue":"16","published-online":{"date-parts":[[2026,8]]}},"alternative-id":["s26165154"],"URL":"https:\/\/doi.org\/10.3390\/s26165154","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,8,14]]}}}