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
- Author
- Daniel Jimenez Rodas (UGent) , James Cock, Héctor F Satizábal, Miguel A Barreto, Andrés Pérez-Uribe, Andy Jarvis and Patrick Van Damme (UGent)
- Organization
- Keywords
- Input relevance analysis, Publicly available meteorological data, Self-Organizing Maps, Multilayer perceptron, Artificial neural networks, Andean blackberry, Small-scale growers, CROSS-VALIDATION, PREDICTION
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-1078499
- 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.
- 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.
- Chicago author-date
- 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.
- Chicago author-date (all authors)
- 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.
- 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.
- IEEE
- [1]D. Jimenez Rodas 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, vol. 69, no. 2, pp. 198–208, 2009.
@article{1078499,
author = {Jimenez Rodas, Daniel and Cock, James and Satizábal, Héctor F and Barreto, Miguel A and Pérez-Uribe, Andrés and Jarvis, Andy and Van Damme, Patrick},
issn = {0168-1699},
journal = {COMPUTERS AND ELECTRONICS IN AGRICULTURE},
keywords = {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},
}
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