{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T10:44:59Z","timestamp":1773312299935,"version":"3.50.1"},"reference-count":37,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2023,9,23]],"date-time":"2023-09-23T00:00:00Z","timestamp":1695427200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia (Portugal)","award":["UIDB\/04551\/2020"],"award-info":[{"award-number":["UIDB\/04551\/2020"]}]},{"name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia (Portugal)","award":["UIDP\/04551\/2020"],"award-info":[{"award-number":["UIDP\/04551\/2020"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Agronomy"],"abstract":"<jats:p>This study focuses on assessing the accuracy of supervised machine learning regression algorithms (MLAs) in predicting actual crop evapotranspiration (ETc act) for a deficit irrigated vineyard of Vitis vinifera cv. Tempranillo, influenced by a typical Mediterranean climate. The standard approach of using the Food and Agriculture Organization (FAO) crop evapotranspiration under standard conditions (FAO-56 Kc-ET0) to estimate ETc act for irrigation purposes faces limitations in row-based, sparse, and drip irrigated crops with large, exposed soil areas, due to data requirements and potential shortcomings. One significant challenge is the accurate estimation of the basal crop coefficient (Kcb), which can be influenced by incorrect estimations of the effective transpiring leaf area and surface resistance. The research results demonstrate that the tested MLAs can accurately estimate ETc act for the vineyard with minimal errors. The Root-Mean-Square Error (RMSE) values were found to be in the range of 0.019 to 0.030 mm\u00b7h\u207b\u00b9. Additionally, the obtained MLAs reduced data requirements, which suggests their feasibility to be used to optimize sustainable irrigation management in vineyards and other row crops. The positive outcomes of the study highlight the potential advantages of employing MLAs for precise and efficient estimation of crop evapotranspiration, leading to improved water management practices in vineyards. This could promote the adoption of more sustainable and resource-efficient irrigation strategies, particularly in regions with Mediterranean climates.<\/jats:p>","DOI":"10.3390\/agronomy13102463","type":"journal-article","created":{"date-parts":[[2023,9,24]],"date-time":"2023-09-24T10:40:22Z","timestamp":1695552022000},"page":"2463","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Predicting Crop Evapotranspiration under Non-Standard Conditions Using Machine Learning Algorithms, a Case Study for Vitis vinifera L. cv Tempranillo"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8186-6724","authenticated-orcid":false,"given":"Ricardo","family":"Egipto","sequence":"first","affiliation":[{"name":"INIAV, I.P.\u2014Instituto Nacional de Investiga\u00e7\u00e3o Agr\u00e1ria e Veterin\u00e1ria, P\u00f3lo de Inova\u00e7\u00e3o de Dois Portos, Quinta da Almo\u00ednha, 2565-191 Dois Portos, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4054-4232","authenticated-orcid":false,"given":"Arturo","family":"Aquino","sequence":"additional","affiliation":[{"name":"CITES, Centro de Investigaci\u00f3n en Tecnolog\u00eda, Energ\u00eda y Sostenibilidad, Universidad de Huelva, La R\u00e1bida, Palos de la Frontera, 21819 Huelva, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5888-947X","authenticated-orcid":false,"given":"Joaquim Miguel","family":"Costa","sequence":"additional","affiliation":[{"name":"LEAF, Linking Landscape, Environment, Agriculture and Food, Instituto Superior de Agronomia, Universidade de Lisboa, 1349-017 Lisboa, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0631-0021","authenticated-orcid":false,"given":"Jos\u00e9 Manuel","family":"And\u00fajar","sequence":"additional","affiliation":[{"name":"CITES, Centro de Investigaci\u00f3n en Tecnolog\u00eda, Energ\u00eda y Sostenibilidad, Universidad de Huelva, La R\u00e1bida, Palos de la Frontera, 21819 Huelva, Spain"}]}],"member":"1968","published-online":{"date-parts":[[2023,9,23]]},"reference":[{"key":"ref_1","unstructured":"Intergovernmental Panel on Climate Change (IPCC) (2023, May 30). AR6 Synthesis Report: Climate Change, Available online: https:\/\/www.ipcc.ch\/site\/assets\/uploads\/2018\/02\/WGIIAR5-Chap3_FINAL.pdf."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"661","DOI":"10.1093\/aob\/mcq030","article-title":"Grapevine under deficit irrigation: Hints from physiological and molecular data","volume":"105","author":"Chaves","year":"2010","journal-title":"Ann. Bot."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1016\/j.agwat.2015.08.021","article-title":"Modern viticulture in Southern Europe: Vulnerabilities and strategies for adaptation to water scarcity","volume":"164","author":"Costa","year":"2016","journal-title":"Agr. Water Manag."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1016\/j.plantsci.2016.06.015","article-title":"Controlling stomatal aperture in semi-arid regions\u2014The dilemma of saving water or being cool?","volume":"251","author":"Chaves","year":"2016","journal-title":"Plant Sci."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"167","DOI":"10.20870\/oeno-one.2017.51.2.1870","article-title":"Adapting plant material to face water stress in vineyards: Which physiological targets for an optimal control of plant water status?","volume":"51","author":"Simonneau","year":"2017","journal-title":"OENO One"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1071\/FP19073","article-title":"A continuum of stomatal responses to water deficits among 17 wine grape cultivars (Vitis vinifera)","volume":"47","author":"Levin","year":"2019","journal-title":"Funct. Plant Biol."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Monteith, J.L., and Unsworth, M. (2013). Principles of Environmental Physics, Elsevier. [4th ed.].","DOI":"10.1016\/B978-0-12-386910-4.00001-9"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1175\/1520-0493(1972)100<0081:OTAOSH>2.3.CO;2","article-title":"On the assessment of surface heat flux and evaporation using large-scale parameters","volume":"100","author":"Priestley","year":"1972","journal-title":"Mon. Weather Rev."},{"key":"ref_9","unstructured":"Allen, R.G., Pereira, L.S., Raes, D., and Smith, M. (1998). Crop Evapotranspiration Guidelines for Computing Crop Water Requirements\u2014FAO Irrigation and Drainage Paper 56, FAO. [1st ed.]. Available online: http:\/\/www.fao.org\/3\/X0490E\/X0490E00.htm."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1016\/j.agrformet.2004.04.002","article-title":"The Priestley\u2013Taylor parameter and the decoupling factor for estimating reference evapotranspiration","volume":"125","author":"Pereira","year":"2004","journal-title":"Agr. For. Meteorol."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1016\/j.agwat.2014.07.031","article-title":"Crop evapotranspiration estimation with FAO56: Past and future","volume":"147","author":"Pereira","year":"2015","journal-title":"Agr. Water Manag."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1895","DOI":"10.13031\/2013.29217","article-title":"Calculating the water requirements of irrigated crops in Australia using the Matt-Shuttleworth approach","volume":"52","author":"Shuttleworth","year":"2009","journal-title":"Trans. ASABE"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/j.agwat.2010.07.011","article-title":"Assessing satellite-based basal crop coefficients for irrigated grapes (Vitis vinifera L.)","volume":"98","author":"Campos","year":"2010","journal-title":"Agr. Water Manag."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"685","DOI":"10.5194\/hess-21-685-2017","article-title":"Leaf-scale experiments reveal an important omission in the Penman\u2013Monteith equation","volume":"21","author":"Schymanski","year":"2017","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"108824","DOI":"10.1016\/j.agrformet.2022.108824","article-title":"Phenology and canopy conductance limit the accuracy of 20 evapotranspiration models in predicting transpiration","volume":"315","author":"Forster","year":"2022","journal-title":"Agr. For. Meteorol."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1016\/j.agwat.2006.05.014","article-title":"Peach orchard evapotranspiration in a sandy soil: Comparison between eddy covariance measurements and estimates by the FAO 56 approach","volume":"85","author":"Ferreira","year":"2006","journal-title":"Agr. Water Manag."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"419","DOI":"10.1007\/s00271-012-0351-3","article-title":"Effects of canopy size and water stress over the crop coefficient of a \u201cTempranillo\u201d vineyard in south-western Spain","volume":"30","author":"Uriarte","year":"2012","journal-title":"Irrig. Sci."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"106645","DOI":"10.1016\/j.agwat.2020.106645","article-title":"Updated single and dual crop coefficients for tree and vine fruit crops","volume":"250","author":"Rallo","year":"2021","journal-title":"Agr. Water Manag."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1016\/S1161-0301(00)00071-X","article-title":"Measurement and modeling of evapotranspiration of olive (Olea europaea L.) orchards","volume":"13","author":"Villalobos","year":"2000","journal-title":"Eur. J. Agron."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s00271-009-0184-x","article-title":"Special issue on evapotranspiration measurement and modeling","volume":"28","author":"Irmak","year":"2009","journal-title":"Irrig. Sci."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1016\/j.agrformet.2004.11.001","article-title":"Measurement and modelling of evapotranspiration of irrigated citrus orchard under Mediterranean conditions","volume":"128","author":"Rana","year":"2021","journal-title":"Agr. For. Meteorol."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"108370","DOI":"10.1016\/j.agrformet.2021.108370","article-title":"Evapotranspiration simulation from a sparsely vegetated agricultural field in a semi-arid agro-ecosystem using Penman-Monteith models","volume":"303","author":"Nyolei","year":"2021","journal-title":"Agr. For. Meteorol."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1007\/s42979-021-00592-x","article-title":"Machine Learning: Algorithms, Real-World Applications and Research Directions","volume":"2","author":"Sarker","year":"2021","journal-title":"Sn Comput. Sci."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Yong, S.L.S., Ng, J.L., Huang, Y.F., and Ang, C.K. (2023). Estimation of evapotranspiration with three different machine learning models and limited meteorological variables. Agronomy, 13.","DOI":"10.3390\/agronomy13041048"},{"key":"ref_25","first-page":"381","article-title":"Machine learning algorithms\u2014A review","volume":"9","author":"Mahesh","year":"2020","journal-title":"Int. J. Sci. Res."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1016\/j.compag.2018.03.010","article-title":"Evapotranspiration estimation using four different machine learning approaches in different terrestrial ecosystems","volume":"148","author":"Dou","year":"2018","journal-title":"Comput. Electron. Agr."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1016\/j.agwat.2019.03.015","article-title":"Evapotranspiration evaluation models based on machine learning algorithms\u2014A comparative study","volume":"217","author":"Granata","year":"2019","journal-title":"Agr. Water Manag."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"125286","DOI":"10.1016\/j.jhydrol.2020.125286","article-title":"Estimating daily reference evapotranspiration based on limited meteorological data using deep learning and classical machine learning methods","volume":"591","author":"Chen","year":"2020","journal-title":"J. Hydrol."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"105875","DOI":"10.1016\/j.agwat.2019.105875","article-title":"Estimation of daily potato crop evapotranspiration using three different machine learning algorithms and four scenarios of available meteorological data","volume":"228","author":"Todorovic","year":"2020","journal-title":"Agr. Water Manag."},{"key":"ref_30","unstructured":"WMO (2023, May 10). Guide to Instruments and Methods of Observation. Measurement of Meteorological Variables, Available online: https:\/\/library.wmo.int\/doc_num.php?explnum_id=10179."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"121","DOI":"10.20870\/oeno-one.2009.43.3.798","article-title":"Vine water status is a key factor in grape ripening and vintage quality for red Bordeaux wine. How can it be assessed for vineyard management purposes?","volume":"43","author":"Bois","year":"2009","journal-title":"OENO One"},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Ferreira, M.I. (2017). Stress Coefficients for Soil Water Balance Combined with Water Stress Indicators for Irrigation Scheduling of Woody Crops. Horticulturae, 3.","DOI":"10.3390\/horticulturae3020038"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"553","DOI":"10.1016\/j.agwat.2010.10.012","article-title":"Forecasting daily potential evapotranspiration using machine learning and limited climatic data","volume":"98","author":"Torres","year":"2011","journal-title":"Agr. Water Manag."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1016\/j.agwat.2018.07.039","article-title":"Accessible remote sensing data based reference evapotranspiration estimation modelling","volume":"210","author":"Zhang","year":"2018","journal-title":"Agr. Water Manag."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Fern\u00e1ndez-L\u00f3pez, A., Mar\u00edn-S\u00e1nchez, D., Garc\u00eda-Mateos, G., Ruiz-Canales, A., Ferr\u00e1ndez-Villena-Garc\u00eda, M., and Molina-Mart\u00ednez, J.M. (2020). A Machine Learning Method to Estimate Reference Evapotranspiration Using Soil Moisture Sensors. Appl. Sci., 10.","DOI":"10.3390\/app10061912"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1016\/j.agwat.2007.10.013","article-title":"Improvement of FAO-56 method for olive orchards through sequential assimilation of thermal infrared-based estimates of ET","volume":"95","author":"Chehbouni","year":"2008","journal-title":"Agr. Water Manag."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"108209","DOI":"10.1016\/j.agwat.2023.108209","article-title":"Water use and soil water balance of Mediterranean tree crops assessed with the SIMDualKc model in orchards of southern Portugal","volume":"279","author":"Ramos","year":"2023","journal-title":"Agr. Water Manag."}],"container-title":["Agronomy"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2073-4395\/13\/10\/2463\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T20:56:38Z","timestamp":1760129798000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2073-4395\/13\/10\/2463"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,23]]},"references-count":37,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2023,10]]}},"alternative-id":["agronomy13102463"],"URL":"https:\/\/doi.org\/10.3390\/agronomy13102463","relation":{},"ISSN":["2073-4395"],"issn-type":[{"value":"2073-4395","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,9,23]]}}}