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Precision crop production and artificial intelligence – the future of sustainable agriculture
Published:
2018-09-05
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2nd machine age green revolution greening the green revolution plant physiology models big data artificial intelligence machine learning deep learning paradigm shift in education
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This work is licensed under a Creative Commons Attribution 4.0 International License.
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Neményi, M. (2018). Precision crop production and artificial intelligence – the future of sustainable agriculture. Acta Agraria Debreceniensis, 150, 47-58. https://doi.org/10.34101/actaagrar/150/1701
Abstract
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).