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Investigation of Common Big Data Analytics and Decision-Making Requirements Across Diverse Precision Agriculture and Livestock Farming Use Cases

Abstract : The purpose of this paper is to present the investigation of common requirements and needs of users across a diverse set of precision agriculture and livestock farming use cases that was based on a series of interviews with experts and farmers. The requirements were based on nine interviews that were conducted in order to identify common requirements and challenges in terms of data collection and management, Big Data technologies, High Performance Computing infrastructure and decision making. The common requirements that derived from the interviews and user requirement analysis per use case can serve as basis for identifying functional and non-functional requirements of a technological solution of high re-usability, interoperability, adaptability and overall efficiency in terms of addressing common needs for precision agriculture and livestock farming.
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Conference papers
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https://hal.inria.fr/hal-03361883
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Submitted on : Friday, October 1, 2021 - 3:40:26 PM
Last modification on : Wednesday, November 3, 2021 - 7:05:50 AM
Long-term archiving on: : Sunday, January 2, 2022 - 7:26:52 PM

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Distributed under a Creative Commons Attribution 4.0 International License

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Spiros Mouzakitis, Giannis Tsapelas, Sotiris Pelekis, Simos Ntanopoulos, Dimitris Askounis, et al.. Investigation of Common Big Data Analytics and Decision-Making Requirements Across Diverse Precision Agriculture and Livestock Farming Use Cases. 13th International Symposium on Environmental Software Systems (ISESS), Feb 2020, Wageningen, Netherlands. pp.139-150, ⟨10.1007/978-3-030-39815-6_14⟩. ⟨hal-03361883⟩

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