Analysis of Andean blackberry (Rubus glaucus) production models obtained by means of artificial neural networks exploiting information collected by small-scale growers in Colombia and publicly available meteorological data
(2009) COMPUTERS AND ELECTRONICS IN AGRICULTURE. 69(2). p.198-208
Please use this url to cite or link to this publication:
http://hdl.handle.net/1854/LU-1078499
- author
- Daniel Jimenez Rodas UGent, James Cock, Héctor F Satizábal, Miguel A Barreto, Andrés Pérez-Uribe, Andy Jarvis and Patrick Van Damme UGent
- organization
- year
- 2009
- type
- journalArticle (original)
- publication status
- published
- subject
- keyword
- Input relevance analysis, Publicly available meteorological data, Self-Organizing Maps, Multilayer perceptron, Artificial neural networks, Andean blackberry, Small-scale growers, CROSS-VALIDATION, PREDICTION
- journal title
- COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Comput. Electron. Agric.
- volume
- 69
- issue
- 2
- pages
- 198 - 208
- Web of Science type
- Article
- Web of Science id
- 000271136400011
- JCR category
- AGRICULTURE, MULTIDISCIPLINARY
- JCR impact factor
- 1.312 (2009)
- JCR rank
- 7/44 (2009)
- JCR quartile
- 1 (2009)
- ISSN
- 0168-1699
- DOI
- 10.1016/j.compag.2009.08.008
- language
- English
- UGent publication?
- yes
- classification
- A1
- copyright statement
- I have transferred the copyright for this publication to the publisher
- id
- 1078499
- handle
- http://hdl.handle.net/1854/LU-1078499
- date created
- 2010-11-23 12:06:15
- date last changed
- 2016-12-19 15:44:15
@article{1078499,
author = {Jimenez Rodas, Daniel and Cock, James and Satiz{\'a}bal, H{\'e}ctor F and Barreto, Miguel A and P{\'e}rez-Uribe, Andr{\'e}s and Jarvis, Andy and Van Damme, Patrick},
issn = {0168-1699},
journal = {COMPUTERS AND ELECTRONICS IN AGRICULTURE},
keyword = {Input relevance analysis,Publicly available meteorological data,Self-Organizing Maps,Multilayer perceptron,Artificial neural networks,Andean blackberry,Small-scale growers,CROSS-VALIDATION,PREDICTION},
language = {eng},
number = {2},
pages = {198--208},
title = {Analysis of Andean blackberry (Rubus glaucus) production models obtained by means of artificial neural networks exploiting information collected by small-scale growers in Colombia and publicly available meteorological data},
url = {http://dx.doi.org/10.1016/j.compag.2009.08.008},
volume = {69},
year = {2009},
}
- Chicago
- Jimenez Rodas, Daniel, James Cock, Héctor F Satizábal, Miguel A Barreto, Andrés Pérez-Uribe, Andy Jarvis, and Patrick Van Damme. 2009. “Analysis of Andean Blackberry (Rubus Glaucus) Production Models Obtained by Means of Artificial Neural Networks Exploiting Information Collected by Small-scale Growers in Colombia and Publicly Available Meteorological Data.” Computers and Electronics in Agriculture 69 (2): 198–208.
- APA
- Jimenez Rodas, D., Cock, J., Satizábal, H. F., Barreto, M. A., Pérez-Uribe, A., Jarvis, A., & Van Damme, P. (2009). Analysis of Andean blackberry (Rubus glaucus) production models obtained by means of artificial neural networks exploiting information collected by small-scale growers in Colombia and publicly available meteorological data. COMPUTERS AND ELECTRONICS IN AGRICULTURE, 69(2), 198–208.
- Vancouver
- 1.Jimenez Rodas D, Cock J, Satizábal HF, Barreto MA, Pérez-Uribe A, Jarvis A, et al. Analysis of Andean blackberry (Rubus glaucus) production models obtained by means of artificial neural networks exploiting information collected by small-scale growers in Colombia and publicly available meteorological data. COMPUTERS AND ELECTRONICS IN AGRICULTURE. 2009;69(2):198–208.
- MLA
- Jimenez Rodas, Daniel, James Cock, Héctor F Satizábal, et al. “Analysis of Andean Blackberry (Rubus Glaucus) Production Models Obtained by Means of Artificial Neural Networks Exploiting Information Collected by Small-scale Growers in Colombia and Publicly Available Meteorological Data.” COMPUTERS AND ELECTRONICS IN AGRICULTURE 69.2 (2009): 198–208. Print.