{"data":{"id":"10.4121/uuid:e4987a7b-04dd-4c89-9b18-883aad30ba9a","type":"dois","attributes":{"doi":"10.4121/uuid:e4987a7b-04dd-4c89-9b18-883aad30ba9a","prefix":"10.4121","suffix":"uuid:e4987a7b-04dd-4c89-9b18-883aad30ba9a","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Hemming, S. (Silke)","nameType":"Personal","givenName":"S. (Silke)","familyName":"Hemming","nameIdentifiers":[{"nameIdentifier":"0000-0001-6638-7453","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]},{"name":"de Zwart, H.F. (Feije)","nameType":"Personal","givenName":"H.F. (Feije)","familyName":"de Zwart","nameIdentifiers":[{"nameIdentifier":"0000-0001-9636-5028","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]},{"name":"Elings, A. (Anne)","nameType":"Personal","givenName":"A. (Anne)","familyName":"Elings","nameIdentifiers":[{"nameIdentifier":"0000-0002-6968-1305","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]},{"name":"Righini, Isabella","nameType":"Personal","givenName":"Isabella","familyName":"Righini","nameIdentifiers":[{"nameIdentifier":"0000-0001-8714-707X","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]},{"name":"Petropoulou, A. (Anna)","nameType":"Personal","givenName":"A. (Anna)","familyName":"Petropoulou","nameIdentifiers":[{"nameIdentifier":"0000-0003-4311-5070","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]}],"titles":[{"title":"Autonomous Greenhouse Challenge, First Edition (2018)"}],"publisher":"4TU.Centre for Research Data","container":{},"publicationYear":2019,"subjects":[{"subject":"Horticultural Crops","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"8202"},{"subject":"Mechanical Engineering","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"0913"},{"subject":"FOS: Mechanical engineering","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Artificial Intelligence and Image Processing","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"0801"},{"subject":"FOS: Computer and information sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Horticultural Production","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"0706"},{"subject":"FOS: Agriculture, forestry and fisheries","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Climate set points"},{"subject":"Crop management"},{"subject":"Cucumber"},{"subject":"Greenhouse climate"},{"subject":"Harvest"},{"subject":"Irrigation"},{"subject":"Outside weather"},{"subject":"Pruning"},{"subject":"Resource consumption"},{"subject":"Time: 2018-08/2018-12"}],"contributors":[{"name":"Wageningen University \u0026 Research, Greenhouuse Horticulture","nameType":"Organizational","affiliation":[],"contributorType":"Other","nameIdentifiers":[]}],"dates":[{"date":"2019-03-29","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"References","relatedIdentifier":"http://edepot.wur.nl/473579","relatedIdentifierType":"URL"}],"relatedItems":[],"sizes":[],"formats":["media types: application/pdf, application/zip, text/csv"],"version":"1","rightsList":[{"rights":"Creative Commons Zero v1.0 Universal","rightsUri":"https://creativecommons.org/publicdomain/zero/1.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc0-1.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"The dataset contains data on greenhouse climate, irrigation, outside weather, greenhouse climate set points, harvest and crop management, resource consumption. Data were collected during a 4-month cucumber production (cv. Hi Power) in 6 glasshouse compartments (96 m2), located in Bleiswijk (The Netherlands). The dataset contains raw and processed data. Raw data were collected via climate measuring boxes, climate and irrigation process computer, manual registrations, outside weather station. The dataset was produced during the first edition of Autonomous Greenhouse Challenge, an international competition aiming at using Artificial Intelligence algorithms for the remote control of greenhouse horticulture production. Five international teams consisting of scientists, professionals and students participated in this experiment. The teams' names are: iGrow, deep_greens, AiCU, Sonoma, Croperators. They developed AI algorithms to remotely determine the Climate control set points and they additionally sent instructions for the crop pruning strategy. They had to realize the highest yield with minimal use of resources (e.g. water, CO2). The achievements in AI-controlled compartments were compared with a reference compartment, operated manually by three Dutch commercial growers (named Reference).","descriptionType":"Abstract"}],"geoLocations":[{"geoLocationPlace":"Wageningen UR Greenhouse Horticulture, Violierenweg 1, Bleiswijk (The 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