Precision crop production and artificial intelligence – the future of sustainable agriculture
dc.creator | Neményi, Miklós | |
dc.date | 2018-09-05 | |
dc.description | According 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.format | application/pdf | |
dc.identifier | https://ojs.lib.unideb.hu/actaagrar/article/view/1701 | |
dc.identifier | 10.34101/actaagrar/150/1701 | |
dc.language | eng | |
dc.publisher | Faculty of Agricultural and Food Sciences and Enviromental Management of the Debrecen University, Debrecen. | |
dc.relation | https://ojs.lib.unideb.hu/actaagrar/article/view/1701/2345 | |
dc.rights | https://creativecommons.org/licenses/by/4.0 | |
dc.source | Acta Agraria Debreceniensis; 2018: 150th Anniversary of the Foundation of Agricultural University in Debrecen; 47-58 | |
dc.source | 2416-1640 | |
dc.source | 1587-1282 | |
dc.subject | 2nd machine age | |
dc.subject | green revolution | |
dc.subject | greening the green revolution | |
dc.subject | plant physiology models | |
dc.subject | big data | |
dc.subject | artificial intelligence | |
dc.subject | machine learning | |
dc.subject | deep learning | |
dc.subject | paradigm shift in education | |
dc.title | Precision crop production and artificial intelligence – the future of sustainable agriculture | |
dc.type | info:eu-repo/semantics/article | |
dc.type | info:eu-repo/semantics/publishedVersion | |
dc.type | Peer-reviewed Article |
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