| Autor: |
Cassiano Moro Piekarskim, Antonio Carlos de Francisco, Mary Ane Aparecida Gonçalves, Andre Luiz Przybysz |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
Proceedings on 25th International Joint Conference on Industrial Engineering and Operations Management – IJCIEOM ISBN: 9783030436155 |
| DOI: |
10.1007/978-3-030-43616-2_14 |
| Popis: |
Agriculture is a booming market for several decades. Technological advances in this sector have produced promising results that can optimize profitability, productivity and sustainability. A technological revolution has taken place to meet industrial challenges. The development of the IoT has improved its sustainability and profitability by responding to digitization. New techniques emerge to improve the production process. Artificial Intelligence (AI) is presented as a science capable of replicating cognitive skills through machines. In this context, the main objective of this paper is building knowledge to guide researchers on AI advances and challenges in sustainable agricultural systems. It will be possible through the following specific steps: (a) Selecting a relevant Bibliographic Portfolio from the previous search on the Web Of Science database with time delineation of the last 11 years (from 2009 to 2019), and (b) Perform a bibliometric analysis of the bibliographic repertoire using the softwares Endnote X9®, Excel and to correlation analyses graphs will be diagrams with VosViewer®. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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