Mechanization Index and Machinery Energy Ratio Assessment by means of an Artificial Neural Network: a Mexican Case Study
| dc.contributor.author | Aragon Ramirez, A. | en_US |
| dc.contributor.author | Oida, A. | en_US |
| dc.contributor.author | Nakashima, H. | en_US |
| dc.contributor.author | Miyasaka, J. | en_US |
| dc.contributor.author | Ohdoi, K. | en_US |
| dc.date.accessioned | 2008-04-11T21:59:44Z | |
| dc.date.available | 2008-04-11T21:59:44Z | |
| dc.date.issued | 2007-05 | en_US |
| dc.description | Rosana G. Moreira, Editor-in-Chief; Texas A&M University | en_US |
| dc.description.abstract | This is a paper from International Commission of Agricultural Engineering (CIGR, Commission Internationale du Genie Rural) E-Journal Volume 9 (2007): Mechanization Index and Machinery Energy Ratio Assessment by means of an Artificial Neural Network: a Mexican Case Study. Manuscript PM 07 002. Vol. IX. May, 2007. | en_US |
| dc.identifier.issn | 1682-1130 | en_US |
| dc.identifier.uri | https://hdl.handle.net/1813/10710 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | International Commission of Agricultural Engineering | en_US |
| dc.subject | Agricultural Engineering | en_US |
| dc.title | Mechanization Index and Machinery Energy Ratio Assessment by means of an Artificial Neural Network: a Mexican Case Study | en_US |
| dc.type | article | en_US |
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