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

A tétel rövid nézete
dc.contributor.authorNeményi, Miklós
dc.date.issued2018-09-05
dc.description.abstractAccording 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).en
dc.formatapplication/pdf
dc.identifier.citationActa Agraria Debreceniensis, 2018: 150th Anniversary of the Foundation of Agricultural University in Debrecen , 47-58
dc.identifier.doihttps://doi.org/10.34101/actaagrar/150/1701
dc.identifier.issn2416-1640
dc.identifier.issue150
dc.identifier.jatitleActa agrar. Debr.
dc.identifier.jtitleActa Agraria Debreceniensis
dc.identifier.urihttps://hdl.handle.net/2437/315585en
dc.languageen
dc.relationhttps://ojs.lib.unideb.hu/actaagrar/article/view/1701
dc.rights.accessOpen Access
dc.subject2nd machine ageen
dc.subjectgreen revolutionen
dc.subjectgreening the green revolutionen
dc.subjectplant physiology modelsen
dc.subjectbig dataen
dc.subjectartificial intelligenceen
dc.subjectmachine learningen
dc.subjectdeep learningen
dc.subjectparadigm shift in educationen
dc.titlePrecision crop production and artificial intelligence – the future of sustainable agricultureen
dc.typefolyóiratcikkhu
dc.typearticleen
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