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

Spiros Mouzakitis; Giannis Tsapelas; Sotiris Pelekis; Simos Ntanopoulos; Dimitris Askounis; Sjoukje Osinga; Ioannis N. Athanasiadis

doi:10.1007/978-3-030-39815-6_14

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

Spiros Mouzakitis^*, Giannis Tsapelas, Sotiris Pelekis, Simos Ntanopoulos, Dimitris Askounis, Sjoukje Osinga, Ioannis N. Athanasiadis

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Academic › peer-review

6 Citations (Scopus)

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.

Original language	English
Title of host publication	International Symposium on Environmental Software Systems (ISESS 2020)
Subtitle of host publication	Environmental Software Systems. Data Science in Action
Place of Publication	Wageningen
Publisher	Springer
Chapter	14
Pages	139-150
ISBN (Electronic)	9783030398156
ISBN (Print)	9783030398149
DOIs	https://doi.org/10.1007/978-3-030-39815-6_14
Publication status	Published - 29 Jan 2020

Publication series

Name	IFIP Advances in Information and Communication Technology
Volume	554
ISSN (Print)	1868-4238
ISSN (Electronic)	1868-422X

Keywords

Big data analytics
Decision-making
Livestock farming
Precision agriculture
User requirements

Access to Document

10.1007/978-3-030-39815-6_14

https://edepot.wur.nl/514919Licence: Taverne

Cite this

Mouzakitis, S., Tsapelas, G., Pelekis, S., Ntanopoulos, S., Askounis, D., Osinga, S., & Athanasiadis, I. N. (2020). Investigation of Common Big Data Analytics and Decision-Making Requirements Across Diverse Precision Agriculture and Livestock Farming Use Cases. In International Symposium on Environmental Software Systems (ISESS 2020): Environmental Software Systems. Data Science in Action (pp. 139-150). (IFIP Advances in Information and Communication Technology ; Vol. 554). Springer. https://doi.org/10.1007/978-3-030-39815-6_14

Mouzakitis, Spiros ; Tsapelas, Giannis ; Pelekis, Sotiris et al. / Investigation of Common Big Data Analytics and Decision-Making Requirements Across Diverse Precision Agriculture and Livestock Farming Use Cases. International Symposium on Environmental Software Systems (ISESS 2020): Environmental Software Systems. Data Science in Action. Wageningen : Springer, 2020. pp. 139-150 (IFIP Advances in Information and Communication Technology ).

@inproceedings{306470148fb4480794f4287f37baa7f7,

title = "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.",

keywords = "Big data analytics, Decision-making, Livestock farming, Precision agriculture, User requirements",

author = "Spiros Mouzakitis and Giannis Tsapelas and Sotiris Pelekis and Simos Ntanopoulos and Dimitris Askounis and Sjoukje Osinga and Athanasiadis, {Ioannis N.}",

year = "2020",

month = jan,

day = "29",

doi = "10.1007/978-3-030-39815-6_14",

language = "English",

isbn = "9783030398149",

series = "IFIP Advances in Information and Communication Technology ",

publisher = "Springer",

pages = "139--150",

booktitle = "International Symposium on Environmental Software Systems (ISESS 2020)",

address = "Germany",

}

Mouzakitis, S, Tsapelas, G, Pelekis, S, Ntanopoulos, S, Askounis, D, Osinga, S & Athanasiadis, IN 2020, Investigation of Common Big Data Analytics and Decision-Making Requirements Across Diverse Precision Agriculture and Livestock Farming Use Cases. in International Symposium on Environmental Software Systems (ISESS 2020): Environmental Software Systems. Data Science in Action. IFIP Advances in Information and Communication Technology , vol. 554, Springer, Wageningen, pp. 139-150. https://doi.org/10.1007/978-3-030-39815-6_14

Investigation of Common Big Data Analytics and Decision-Making Requirements Across Diverse Precision Agriculture and Livestock Farming Use Cases. / Mouzakitis, Spiros; Tsapelas, Giannis; Pelekis, Sotiris et al.
International Symposium on Environmental Software Systems (ISESS 2020): Environmental Software Systems. Data Science in Action. Wageningen: Springer, 2020. p. 139-150 (IFIP Advances in Information and Communication Technology ; Vol. 554).

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Academic › peer-review

TY - GEN

T1 - Investigation of Common Big Data Analytics and Decision-Making Requirements Across Diverse Precision Agriculture and Livestock Farming Use Cases

AU - Mouzakitis, Spiros

AU - Tsapelas, Giannis

AU - Pelekis, Sotiris

AU - Ntanopoulos, Simos

AU - Askounis, Dimitris

AU - Osinga, Sjoukje

AU - Athanasiadis, Ioannis N.

PY - 2020/1/29

Y1 - 2020/1/29

N2 - 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.

AB - 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.

KW - Big data analytics

KW - Decision-making

KW - Livestock farming

KW - Precision agriculture

KW - User requirements

U2 - 10.1007/978-3-030-39815-6_14

DO - 10.1007/978-3-030-39815-6_14

M3 - Conference paper

SN - 9783030398149

T3 - IFIP Advances in Information and Communication Technology

SP - 139

EP - 150

BT - International Symposium on Environmental Software Systems (ISESS 2020)

PB - Springer

CY - Wageningen

ER -

Mouzakitis S, Tsapelas G, Pelekis S, Ntanopoulos S, Askounis D, Osinga S et al. Investigation of Common Big Data Analytics and Decision-Making Requirements Across Diverse Precision Agriculture and Livestock Farming Use Cases. In International Symposium on Environmental Software Systems (ISESS 2020): Environmental Software Systems. Data Science in Action. Wageningen: Springer. 2020. p. 139-150. (IFIP Advances in Information and Communication Technology ). doi: 10.1007/978-3-030-39815-6_14

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

Abstract

Publication series

Keywords

Access to Document

Fingerprint

Cite this