Precision crop production and artificial intelligence – the future of sustainable agriculture

dc.creatorNeményi, Miklós
dc.date2018-09-05
dc.descriptionAccording to Kay et al. (2004, in Shockley et al., 2017), there are seven steps to the decision-making process: 1) Identify the problem or opportunity, 2) Identify the alternative solution, 3) Collect all data and information, 4) Analyse the alternatives and make a decision, 5) Implement the decision, 6) Monitor the results of the decision, 7) Accept responsibility for the decision. The basic question is what kind of tasks we can perform in the decision-making process and what to leave for Artificial Intelligence (AI).
dc.formatapplication/pdf
dc.identifierhttps://ojs.lib.unideb.hu/actaagrar/article/view/1701
dc.identifier10.34101/actaagrar/150/1701
dc.languageeng
dc.publisherFaculty of Agricultural and Food Sciences and Enviromental Management of the Debrecen University, Debrecen.
dc.relationhttps://ojs.lib.unideb.hu/actaagrar/article/view/1701/2345
dc.rightshttps://creativecommons.org/licenses/by/4.0
dc.sourceActa Agraria Debreceniensis; 2018: 150th Anniversary of the Foundation of Agricultural University in Debrecen; 47-58
dc.source2416-1640
dc.source1587-1282
dc.subject2nd machine age
dc.subjectgreen revolution
dc.subjectgreening the green revolution
dc.subjectplant physiology models
dc.subjectbig data
dc.subjectartificial intelligence
dc.subjectmachine learning
dc.subjectdeep learning
dc.subjectparadigm shift in education
dc.titlePrecision crop production and artificial intelligence – the future of sustainable agriculture
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Article
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