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

A tétel rövid nézete
dc.contributor.authorNeményi, Miklós
dc.contributor.statusegyetemi oktató, kutatóhu_HU
dc.coverage.temporal2018.06.29.hu_HU
dc.date.accessioned2019-04-26T09:48:21Z
dc.date.available2019-04-26T09:48:21Z
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).hu_HU
dc.format.extent47-57hu_HU
dc.identifier.urihttp://hdl.handle.net/2437/266254
dc.language.isoenhu_HU
dc.subject2nd machine agehu_HU
dc.subjectgreen revolutionhu_HU
dc.subjectgreening the green revolutionhu_HU
dc.subjectplant physiology modelshu_HU
dc.subjectbig datahu_HU
dc.subjectartificial intelligencehu_HU
dc.subjectmachine learninghu_HU
dc.subjectdeep learninghu_HU
dc.subjectparadigm shift in educationhu_HU
dc.subject.disciplinetudományterületek::növénytudományokhu_HU
dc.titlePrecision crop production and artificial intelligence - the future of sustainable agriculturehu_HU
dc.typeidegen nyelvű peer review publikációhu_HU
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Wittmann Antal Növény-, Állat- és Élelmiszertudományi DI