Improving forecasting using information fusion in local agricultural markets

Washington R. Padilla; Jesús García; José M. Molina

doi:10.1007/978-3-319-92639-1_40

Improving forecasting using information fusion in local agricultural markets

Washington R. Padilla, Jesús García, José M. Molina

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

3 Scopus citations

Abstract

This research explores the capacity of Information Fusion to extract knowledge about associations among agricultural products, which allows prediction for future consumption in local markets in the Andean region of Ecuador. This commercial activity is performed using Alternative Marketing Circuits (CIALCO), seeking to establish a direct relationship between producer and consumer prices, and promote buying and selling among family groups. In the results we see that, information fusion from heterogenous data sources that are spatially located allows to establish best association rules among data sources (several products on several local markets) to infer significant improvement in time forecasting and spatial prediction accuracy for the future sales of agricultural products.

Original language	English
Title of host publication	Hybrid Artificial Intelligent Systems - 13th International Conference, HAIS 2018, Proceedings
Editors	Alvaro Herrero, Hector Quintian, Jose Antonio Saez, Emilio Corchado, Francisco Javier de Cos Juez, Jose Ramon Villar, Enrique A. de la Cal
Publisher	Springer Verlag
Pages	479-489
Number of pages	11
ISBN (Print)	9783319926384
DOIs	https://doi.org/10.1007/978-3-319-92639-1_40
State	Published - 2018
Event	13th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2018 - Oviedo, Spain Duration: 20 Jun 2018 → 22 Jun 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10870 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	13th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2018
Country/Territory	Spain
City	Oviedo
Period	20/06/18 → 22/06/18

Bibliographical note

Funding Information:
Acknowledgements. This work was supported in part by Project MINECO TEC2017-88048-C2-2-R and by Commercial Coordination Network, Ministry of Agriculture, Livestock, Aquaculture and Fisheries Ecuador.

Publisher Copyright:
© Springer International Publishing AG, part of Springer Nature 2018.

Keywords

Alternative circuits of commercialization
Associations mining
Data Fusion
Predictive analysis

Access to Document

10.1007/978-3-319-92639-1_40

Cite this

Padilla, W. R., García, J., & Molina, J. M. (2018). Improving forecasting using information fusion in local agricultural markets. In A. Herrero, H. Quintian, J. Antonio Saez, E. Corchado, F. J. de Cos Juez, J. R. Villar, & E. A. de la Cal (Eds.), Hybrid Artificial Intelligent Systems - 13th International Conference, HAIS 2018, Proceedings (pp. 479-489). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10870 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-319-92639-1_40

Padilla, Washington R. ; García, Jesús ; Molina, José M. / Improving forecasting using information fusion in local agricultural markets. Hybrid Artificial Intelligent Systems - 13th International Conference, HAIS 2018, Proceedings. editor / Alvaro Herrero ; Hector Quintian ; Jose Antonio Saez ; Emilio Corchado ; Francisco Javier de Cos Juez ; Jose Ramon Villar ; Enrique A. de la Cal. Springer Verlag, 2018. pp. 479-489 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "This research explores the capacity of Information Fusion to extract knowledge about associations among agricultural products, which allows prediction for future consumption in local markets in the Andean region of Ecuador. This commercial activity is performed using Alternative Marketing Circuits (CIALCO), seeking to establish a direct relationship between producer and consumer prices, and promote buying and selling among family groups. In the results we see that, information fusion from heterogenous data sources that are spatially located allows to establish best association rules among data sources (several products on several local markets) to infer significant improvement in time forecasting and spatial prediction accuracy for the future sales of agricultural products.",

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Padilla, WR, García, J & Molina, JM 2018, Improving forecasting using information fusion in local agricultural markets. in A Herrero, H Quintian, J Antonio Saez, E Corchado, FJ de Cos Juez, JR Villar & EA de la Cal (eds), Hybrid Artificial Intelligent Systems - 13th International Conference, HAIS 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10870 LNAI, Springer Verlag, pp. 479-489, 13th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2018, Oviedo, Spain, 20/06/18. https://doi.org/10.1007/978-3-319-92639-1_40

Improving forecasting using information fusion in local agricultural markets. / Padilla, Washington R.; García, Jesús; Molina, José M.
Hybrid Artificial Intelligent Systems - 13th International Conference, HAIS 2018, Proceedings. ed. / Alvaro Herrero; Hector Quintian; Jose Antonio Saez; Emilio Corchado; Francisco Javier de Cos Juez; Jose Ramon Villar; Enrique A. de la Cal. Springer Verlag, 2018. p. 479-489 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10870 LNAI).

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

TY - GEN

T1 - Improving forecasting using information fusion in local agricultural markets

AU - Padilla, Washington R.

AU - García, Jesús

AU - Molina, José M.

N1 - Publisher Copyright: © Springer International Publishing AG, part of Springer Nature 2018.

PY - 2018

Y1 - 2018

N2 - This research explores the capacity of Information Fusion to extract knowledge about associations among agricultural products, which allows prediction for future consumption in local markets in the Andean region of Ecuador. This commercial activity is performed using Alternative Marketing Circuits (CIALCO), seeking to establish a direct relationship between producer and consumer prices, and promote buying and selling among family groups. In the results we see that, information fusion from heterogenous data sources that are spatially located allows to establish best association rules among data sources (several products on several local markets) to infer significant improvement in time forecasting and spatial prediction accuracy for the future sales of agricultural products.

AB - This research explores the capacity of Information Fusion to extract knowledge about associations among agricultural products, which allows prediction for future consumption in local markets in the Andean region of Ecuador. This commercial activity is performed using Alternative Marketing Circuits (CIALCO), seeking to establish a direct relationship between producer and consumer prices, and promote buying and selling among family groups. In the results we see that, information fusion from heterogenous data sources that are spatially located allows to establish best association rules among data sources (several products on several local markets) to infer significant improvement in time forecasting and spatial prediction accuracy for the future sales of agricultural products.

KW - Alternative circuits of commercialization

KW - Associations mining

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KW - Predictive analysis

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SN - 9783319926384

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Hybrid Artificial Intelligent Systems - 13th International Conference, HAIS 2018, Proceedings

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A2 - Quintian, Hector

A2 - Antonio Saez, Jose

A2 - Corchado, Emilio

A2 - de Cos Juez, Francisco Javier

A2 - Villar, Jose Ramon

A2 - de la Cal, Enrique A.

PB - Springer Verlag

T2 - 13th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2018

Y2 - 20 June 2018 through 22 June 2018

ER -

Padilla WR, García J, Molina JM. Improving forecasting using information fusion in local agricultural markets. In Herrero A, Quintian H, Antonio Saez J, Corchado E, de Cos Juez FJ, Villar JR, de la Cal EA, editors, Hybrid Artificial Intelligent Systems - 13th International Conference, HAIS 2018, Proceedings. Springer Verlag. 2018. p. 479-489. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-92639-1_40

Improving forecasting using information fusion in local agricultural markets

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Keywords

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