Information fusion and machine learning in spatial prediction for local agricultural markets

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

doi:10.1007/978-3-319-94779-2_21

Information fusion and machine learning in spatial prediction for local agricultural markets

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

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

4 Citas (Scopus)

Resumen

This research explores information fusion and data mining techniques and proposes a methodology to improve predictions based on strong associations among agricultural products, which allows prediction for future consumption in local markets in the Andean region of Ecuador using spatial prediction techniques. 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.

Idioma original	Inglés
Título de la publicación alojada	Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity
Subtítulo de la publicación alojada	The PAAMS Collection - International Workshops of PAAMS 2018, Proceedings
Editores	Juan M. Corchado, Vicente Julian, Eneko Osaba Icedo, Javier Bajo, Patrycja Hoffa-Dabrowska, Ricardo Azambuja Silveira, Alberto Fernandez, Sylvain Giroux, Elena María Navarro Martínez, Philippe Mathieu, Antonio J. Castro, Nayat Sanchez-Pi, Elena del Val, Rainer Unland, Ruben Fuentes-Fernandez
Editorial	Springer Verlag
Páginas	235-246
Número de páginas	12
ISBN (versión impresa)	9783319947785
DOI	https://doi.org/10.1007/978-3-319-94779-2_21
Estado	Publicada - 2018
Evento	16th International Conference on Practical Applications of Agents, Multi-Agent Systems, PAAMS 2018 - Toledo, Espana Duración: 20 jun. 2018 → 22 jun. 2018

Serie de la publicación

Nombre	Communications in Computer and Information Science
Volumen	887
ISSN (versión impresa)	1865-0929

Conferencia

Conferencia	16th International Conference on Practical Applications of Agents, Multi-Agent Systems, PAAMS 2018
País/Territorio	Espana
Ciudad	Toledo
Período	20/06/18 → 22/06/18

Nota bibliográfica

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

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10.1007/978-3-319-94779-2_21

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Padilla, W. R., García, J., & Molina, J. M. (2018). Information fusion and machine learning in spatial prediction for local agricultural markets. En J. M. Corchado, V. Julian, E. Osaba Icedo, J. Bajo, P. Hoffa-Dabrowska, R. A. Silveira, A. Fernandez, S. Giroux, E. M. Navarro Martínez, P. Mathieu, A. J. Castro, N. Sanchez-Pi, E. del Val, R. Unland, & R. Fuentes-Fernandez (Eds.), Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection - International Workshops of PAAMS 2018, Proceedings (pp. 235-246). (Communications in Computer and Information Science; Vol. 887). Springer Verlag. https://doi.org/10.1007/978-3-319-94779-2_21

Padilla, Washington R. ; García, Jesús ; Molina, José M. / Information fusion and machine learning in spatial prediction for local agricultural markets. Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection - International Workshops of PAAMS 2018, Proceedings. editor / Juan M. Corchado ; Vicente Julian ; Eneko Osaba Icedo ; Javier Bajo ; Patrycja Hoffa-Dabrowska ; Ricardo Azambuja Silveira ; Alberto Fernandez ; Sylvain Giroux ; Elena María Navarro Martínez ; Philippe Mathieu ; Antonio J. Castro ; Nayat Sanchez-Pi ; Elena del Val ; Rainer Unland ; Ruben Fuentes-Fernandez. Springer Verlag, 2018. pp. 235-246 (Communications in Computer and Information Science).

@inproceedings{a372b85b1d184cddbe418c2a03719297,

title = "Information fusion and machine learning in spatial prediction for local agricultural markets",

abstract = "This research explores information fusion and data mining techniques and proposes a methodology to improve predictions based on strong associations among agricultural products, which allows prediction for future consumption in local markets in the Andean region of Ecuador using spatial prediction techniques. 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.",

keywords = "Alternative circuits of commercialization, Associations mining, Data fusion, Predictive analysis",

author = "Padilla, {Washington R.} and Jes{\'u}s Garc{\'i}a and Molina, {Jos{\'e} M.}",

note = "Publisher Copyright: {\textcopyright} 2018, Springer International Publishing AG, part of Springer Nature.; 16th International Conference on Practical Applications of Agents, Multi-Agent Systems, PAAMS 2018 ; Conference date: 20-06-2018 Through 22-06-2018",

year = "2018",

doi = "10.1007/978-3-319-94779-2_21",

language = "English",

isbn = "9783319947785",

series = "Communications in Computer and Information Science",

publisher = "Springer Verlag",

pages = "235--246",

editor = "Corchado, {Juan M.} and Vicente Julian and {Osaba Icedo}, Eneko and Javier Bajo and Patrycja Hoffa-Dabrowska and Silveira, {Ricardo Azambuja} and Alberto Fernandez and Sylvain Giroux and {Navarro Mart{\'i}nez}, {Elena Mar{\'i}a} and Philippe Mathieu and Castro, {Antonio J.} and Nayat Sanchez-Pi and {del Val}, Elena and Rainer Unland and Ruben Fuentes-Fernandez",

booktitle = "Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity",

address = "Germany",

}

Padilla, WR, García, J & Molina, JM 2018, Information fusion and machine learning in spatial prediction for local agricultural markets. En JM Corchado, V Julian, E Osaba Icedo, J Bajo, P Hoffa-Dabrowska, RA Silveira, A Fernandez, S Giroux, EM Navarro Martínez, P Mathieu, AJ Castro, N Sanchez-Pi, E del Val, R Unland & R Fuentes-Fernandez (eds.), Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection - International Workshops of PAAMS 2018, Proceedings. Communications in Computer and Information Science, vol. 887, Springer Verlag, pp. 235-246, 16th International Conference on Practical Applications of Agents, Multi-Agent Systems, PAAMS 2018, Toledo, Espana, 20/06/18. https://doi.org/10.1007/978-3-319-94779-2_21

Information fusion and machine learning in spatial prediction for local agricultural markets. / Padilla, Washington R.; García, Jesús; Molina, José M.
Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection - International Workshops of PAAMS 2018, Proceedings. ed. / Juan M. Corchado; Vicente Julian; Eneko Osaba Icedo; Javier Bajo; Patrycja Hoffa-Dabrowska; Ricardo Azambuja Silveira; Alberto Fernandez; Sylvain Giroux; Elena María Navarro Martínez; Philippe Mathieu; Antonio J. Castro; Nayat Sanchez-Pi; Elena del Val; Rainer Unland; Ruben Fuentes-Fernandez. Springer Verlag, 2018. p. 235-246 (Communications in Computer and Information Science; Vol. 887).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

TY - GEN

T1 - Information fusion and machine learning in spatial prediction for local agricultural markets

AU - Padilla, Washington R.

AU - García, Jesús

AU - Molina, José M.

PY - 2018

Y1 - 2018

N2 - This research explores information fusion and data mining techniques and proposes a methodology to improve predictions based on strong associations among agricultural products, which allows prediction for future consumption in local markets in the Andean region of Ecuador using spatial prediction techniques. 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.

AB - This research explores information fusion and data mining techniques and proposes a methodology to improve predictions based on strong associations among agricultural products, which allows prediction for future consumption in local markets in the Andean region of Ecuador using spatial prediction techniques. 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.

KW - Alternative circuits of commercialization

KW - Associations mining

KW - Data fusion

KW - Predictive analysis

UR - http://www.scopus.com/inward/record.url?scp=85049363062&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-94779-2_21

DO - 10.1007/978-3-319-94779-2_21

M3 - Conference contribution

AN - SCOPUS:85049363062

SN - 9783319947785

T3 - Communications in Computer and Information Science

SP - 235

EP - 246

BT - Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity

A2 - Corchado, Juan M.

A2 - Julian, Vicente

A2 - Osaba Icedo, Eneko

A2 - Bajo, Javier

A2 - Hoffa-Dabrowska, Patrycja

A2 - Silveira, Ricardo Azambuja

A2 - Fernandez, Alberto

A2 - Giroux, Sylvain

A2 - Navarro Martínez, Elena María

A2 - Mathieu, Philippe

A2 - Castro, Antonio J.

A2 - Sanchez-Pi, Nayat

A2 - del Val, Elena

A2 - Unland, Rainer

A2 - Fuentes-Fernandez, Ruben

PB - Springer Verlag

T2 - 16th International Conference on Practical Applications of Agents, Multi-Agent Systems, PAAMS 2018

Y2 - 20 June 2018 through 22 June 2018

ER -

Padilla WR, García J, Molina JM. Information fusion and machine learning in spatial prediction for local agricultural markets. En Corchado JM, Julian V, Osaba Icedo E, Bajo J, Hoffa-Dabrowska P, Silveira RA, Fernandez A, Giroux S, Navarro Martínez EM, Mathieu P, Castro AJ, Sanchez-Pi N, del Val E, Unland R, Fuentes-Fernandez R, editores, Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection - International Workshops of PAAMS 2018, Proceedings. Springer Verlag. 2018. p. 235-246. (Communications in Computer and Information Science). doi: 10.1007/978-3-319-94779-2_21

Information fusion and machine learning in spatial prediction for local agricultural markets

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