{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T06:18:28Z","timestamp":1776752308384,"version":"3.51.2"},"publisher-location":"Basel Switzerland","reference-count":17,"publisher":"MDPI","license":[{"start":{"date-parts":[[2023,11,8]],"date-time":"2023-11-08T00:00:00Z","timestamp":1699401600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"FCT\u2014Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia, I.P. (Portuguese Foundation for Science and Technology)","award":["PTDC\/ASP-HOR\/1338\/2021"],"award-info":[{"award-number":["PTDC\/ASP-HOR\/1338\/2021"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.3390\/iecag2023-15914","type":"proceedings-article","created":{"date-parts":[[2024,1,15]],"date-time":"2024-01-15T04:16:38Z","timestamp":1705292198000},"page":"50","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Enhancing Grape Brix Prediction in Precision Viticulture: A Benchmarking Study of Predictive Models Using Hyperspectral Proximal Sensors"],"prefix":"10.3390","author":[{"given":"Maria","family":"Santos-Campos","sequence":"first","affiliation":[{"name":"Department of Geosciences, Environment and Spatial Planning, Faculty of Sciences, University of Porto, Rua do Campo Alegre, S\/N, 4169-007 Porto, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7017-9323","authenticated-orcid":false,"given":"Renan","family":"Tosin","sequence":"additional","affiliation":[{"name":"Department of Geosciences, Environment and Spatial Planning, Faculty of Sciences, University of Porto, Rua do Campo Alegre, S\/N, 4169-007 Porto, Portugal"},{"name":"INESC TEC\u2014Institute for Systems and Computer Engineering, Technology and Science, Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias, S\/N, 4200-465 Porto, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4507-2481","authenticated-orcid":false,"given":"Leandro","family":"Rodrigues","sequence":"additional","affiliation":[{"name":"Department of Geosciences, Environment and Spatial Planning, Faculty of Sciences, University of Porto, Rua do Campo Alegre, S\/N, 4169-007 Porto, Portugal"},{"name":"INESC TEC\u2014Institute for Systems and Computer Engineering, Technology and Science, Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias, S\/N, 4200-465 Porto, Portugal"}]},{"given":"Igor","family":"Gon\u00e7alves","sequence":"additional","affiliation":[{"name":"ADVID\u2014Associa\u00e7\u00e3o para o Desenvolvimento da Viticultura Duriense, Edif\u00edcio Centro de Excel\u00eancia da Vinha e do Vinho Parque de Ci\u00eancia e Tecnologia de Vila Real, R\u00e9gia Douro Park, 5000-033 Vila Real, Portugal"}]},{"given":"Catarina","family":"Barbosa","sequence":"additional","affiliation":[{"name":"ADVID\u2014Associa\u00e7\u00e3o para o Desenvolvimento da Viticultura Duriense, Edif\u00edcio Centro de Excel\u00eancia da Vinha e do Vinho Parque de Ci\u00eancia e Tecnologia de Vila Real, R\u00e9gia Douro Park, 5000-033 Vila Real, Portugal"},{"name":"CoLAB Vines&Wines\u2014National Collaborative Laboratory for the Portuguese Wine Sector, Edif\u00edcio Centro de Excel\u00eancia da Vinha e do Vinho Parque de Ci\u00eancia e Tecnologia de Vila Real, R\u00e9gia Douro Park, 5000-033 Vila Real, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9058-3147","authenticated-orcid":false,"given":"Rui","family":"Martins","sequence":"additional","affiliation":[{"name":"INESC TEC\u2014Institute for Systems and Computer Engineering, Technology and Science, Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias, S\/N, 4200-465 Porto, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8486-6113","authenticated-orcid":false,"given":"Filipe","family":"Santos","sequence":"additional","affiliation":[{"name":"INESC TEC\u2014Institute for Systems and Computer Engineering, Technology and Science, Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias, S\/N, 4200-465 Porto, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8299-324X","authenticated-orcid":false,"given":"M\u00e1rio","family":"Cunha","sequence":"additional","affiliation":[{"name":"Department of Geosciences, Environment and Spatial Planning, Faculty of Sciences, University of Porto, Rua do Campo Alegre, S\/N, 4169-007 Porto, Portugal"},{"name":"INESC TEC\u2014Institute for Systems and Computer Engineering, Technology and Science, Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias, S\/N, 4200-465 Porto, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2023,11,8]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"956","DOI":"10.1016\/j.agwat.2010.01.025","article-title":"Effects of grapevine (Vitis vinifera L.) water status on water consumption, vegetative growth and grape quality: An irrigation scheduling application to achieve regulated deficit irrigation","volume":"97","author":"Fuentes","year":"2010","journal-title":"Agric. Water Manag."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1007\/s10584-016-1719-9","article-title":"The impact of climate change on the winegrape vineyards of the Portuguese Douro region","volume":"138","author":"Cunha","year":"2016","journal-title":"Clim. Chang."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"109860","DOI":"10.1016\/j.scienta.2020.109860","article-title":"Assessing predawn leaf water potential based on hyperspectral data and pigment\u2019s concentration of Vitis vinifera L. in the Douro Wine Region","volume":"278","author":"Tosin","year":"2021","journal-title":"Sci. Hortic."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"106710","DOI":"10.1016\/j.compag.2022.106710","article-title":"Unscrambling spectral interference and matrix effects in Vitis vinifera Vis-NIR spectroscopy: Towards analytical grade \u2018in vivo\u2019 sugars and acids quantification","volume":"194","author":"Martins","year":"2022","journal-title":"Comput. Electron. Agric."},{"key":"ref_5","unstructured":"Kleinhenz, M.D., and Bumgarner, N.R. (2013). Linking Measured Values to Crop Management. Fact Sheet. Agriculture and Natural Resources, The Ohio State University."},{"key":"ref_6","unstructured":"Reid, M., and Kader, A. (2002). Postharvest Technology of Horticultural Crops, University of California Agriculture and Natural Resources."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"4843","DOI":"10.1109\/ACCESS.2020.3048415","article-title":"Machine Learning Applications for Precision Agriculture: A Comprehensive Review","volume":"9","author":"Sharma","year":"2021","journal-title":"IEEE Access"},{"key":"ref_8","unstructured":"Martins, R.C., Magalh\u00e3es, S., Jorge, P., Barroso, T., and Santos, F. (2019). Progress in Artificial Intelligence, Proceedings of the 19th EPIA Conference on Artificial Intelligence, EPIA 2019, Vila Real, Portugal, 3\u20136 September 2019, Springer."},{"key":"ref_9","first-page":"24","article-title":"Sensores proximais hiperespectrais e algoritmos computacionais para fenotipagem digital de par\u00e2metros fisiol\u00f3gicos da videira","volume":"58","author":"Tosin","year":"2022","journal-title":"Rev. Assoc. Port. Hortic."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"107793","DOI":"10.1016\/j.agrformet.2019.107793","article-title":"Toward a generalized predictive model of grapevine water status in Douro region from hyperspectral data","volume":"280","author":"Tosin","year":"2020","journal-title":"Agric. For. Meteorol."},{"key":"ref_11","first-page":"100718","article-title":"Optimal models under multiple resource types for Brix content prediction in sugarcane fields using machine learning","volume":"26","author":"Chea","year":"2022","journal-title":"Remote Sens. Appl. Soc. Environ."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Wrolstad, R.E., Acree, T.E., Decker, E.A., Penner, M.H., Reid, D.S., Schwartz, S.J., Shoemaker, C.F., Smith, D.M., and Sporns, P. (2005). Handbook of Food Analytical Chemistry, Wiley-Interscience. Pigments, Colorants, Flavors, Texture, and Bioactive Food Components.","DOI":"10.1002\/0471709085"},{"key":"ref_13","unstructured":"Middleton, E.M., Huemmrich, K.F., Zhang, Q., Campbell, P.K.E., and Landis, D.R. (2011). Hyperspectral Remote Sensing of Vegetation, CRC Press."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"87","DOI":"10.5344\/ajev.2009.60.1.87","article-title":"Nondestructive Estimation of Anthocyanin Content in Grapevine Leaves","volume":"60","author":"Steele","year":"2009","journal-title":"Am. J. Enol. Vitic."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Montesinos-L\u00f3pez, O., Montesinos, A., and Crossa, J. (2022). Multivariate Statistical Machine Learning Methods for Genomic Prediction, Springer International Publishing.","DOI":"10.1007\/978-3-030-89010-0"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Gomes, V.M., Fernandes, A.M., Faia, A., and Melo-Pinto, P. (2014, January 9\u201312). Determination of sugar content in whole Port Wine grape berries combining hyperspectral imaging with neural networks methodologies. Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Engineering Solutions (CIES), Orlando, FL, USA.","DOI":"10.1109\/CIES.2014.7011850"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1065","DOI":"10.3390\/s23031065","article-title":"Estimation of Sugar Content in Wine Grapes via In Situ VNIR– SWIR Point Spectroscopy Using Explainable Artificial Intelligence Techniques","volume":"23","author":"Kalopesa","year":"2023","journal-title":"Sensors"}],"event":{"name":"The 3rd International Electronic Conference on Agronomy","acronym":"IECAG 2023"},"container-title":["The 3rd International Electronic Conference on Agronomy"],"original-title":[],"link":[{"URL":"https:\/\/www.mdpi.com\/2673-9976\/27\/1\/50\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T21:45:46Z","timestamp":1760132746000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2673-9976\/27\/1\/50"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,8]]},"references-count":17,"alternative-id":["IECAG2023-15914"],"URL":"https:\/\/doi.org\/10.3390\/iecag2023-15914","relation":{},"subject":[],"published":{"date-parts":[[2023,11,8]]}}}