Saved in:
| Main Author: | |
|---|---|
| Format: | Artículo científico |
| Language: | en |
| Published: |
Universidad de Antioquia
2015
|
| Subjects: | |
| Online Access: | https://www.redalyc.org/articulo.oa?id=43043372008 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866584897306492928 |
|---|---|
| author | Ariadne Sofía Drust-Nacarino |
| author_facet | Ariadne Sofía Drust-Nacarino |
| contents | Drought and genetic programming to approach annual agriculture production normalized curves Ariadne Sofía Drust-Nacarino Maritza Liliana Arganis-Juaréz Rodolfo Silva-Casarín Edgar Gerardo Mendoza -Baldwin Óscar Arturo Fuentes-Mariles Ingeniería Drought economic loss regionalization genetic programming agricultural production Drought is a severe, recurrent disaster for Mexican agriculture, causing huge economic losses, which could be reduced if appropriate planning and policies were carried out and the production loss could be predicted. This paper presents the application of a genetic programming scheme to obtain normalized curves of annual agricultural production for each state in Mexico as a function of the return period of drought events and, from them, compute the normalized value of the yearly production. This value, multiplied by the historic mean production of the state, gives the production expressed in Mexican pesos for a specifi ed return period. Two techniques were used for this data analysis, the fi rst one is general and considers each state separately; for the second technique the country was divided into six groups, depending on the value of the agricultural production variation coeffi cient. The results showed that for the fi rst case large dispersion was found between the reported and computed data, while a better fi t was found for the groups; specifi cally for groups 2, 3 and 6. The resulting functions can be used by decision makers at both federal and state levels, to better deal with drought events. 2015 artículo científico 0120-6230 https://www.redalyc.org/articulo.oa?id=43043372008 en http://www.redalyc.org/revista.oa?id=430 Revista Facultad de Ingeniería Universidad de Antioquia application/pdf Universidad de Antioquia Revista Facultad de Ingeniería Universidad de Antioquia (Colombia) Num.77 |
| format | Artículo científico |
| id | redalyc_43043372008 |
| language | en |
| publishDate | 2015 |
| publisher | Universidad de Antioquia |
| spellingShingle | Drought and genetic programming to approach annual agriculture production normalized curves Ariadne Sofía Drust-Nacarino Ingeniería Drought economic loss regionalization genetic programming agricultural production Drought and genetic programming to approach annual agriculture production normalized curves Ariadne Sofía Drust-Nacarino Maritza Liliana Arganis-Juaréz Rodolfo Silva-Casarín Edgar Gerardo Mendoza -Baldwin Óscar Arturo Fuentes-Mariles Ingeniería Drought economic loss regionalization genetic programming agricultural production Drought is a severe, recurrent disaster for Mexican agriculture, causing huge economic losses, which could be reduced if appropriate planning and policies were carried out and the production loss could be predicted. This paper presents the application of a genetic programming scheme to obtain normalized curves of annual agricultural production for each state in Mexico as a function of the return period of drought events and, from them, compute the normalized value of the yearly production. This value, multiplied by the historic mean production of the state, gives the production expressed in Mexican pesos for a specifi ed return period. Two techniques were used for this data analysis, the fi rst one is general and considers each state separately; for the second technique the country was divided into six groups, depending on the value of the agricultural production variation coeffi cient. The results showed that for the fi rst case large dispersion was found between the reported and computed data, while a better fi t was found for the groups; specifi cally for groups 2, 3 and 6. The resulting functions can be used by decision makers at both federal and state levels, to better deal with drought events. 2015 artículo científico 0120-6230 https://www.redalyc.org/articulo.oa?id=43043372008 en http://www.redalyc.org/revista.oa?id=430 Revista Facultad de Ingeniería Universidad de Antioquia application/pdf Universidad de Antioquia Revista Facultad de Ingeniería Universidad de Antioquia (Colombia) Num.77 |
| title | Drought and genetic programming to approach annual agriculture production normalized curves |
| topic | Ingeniería Drought economic loss regionalization genetic programming agricultural production |
| url | https://www.redalyc.org/articulo.oa?id=43043372008 |