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handle: 11336/175877
This work uses k-means and k-medoids to process data of the 2014 Provincial Agricultural Register Survey from microregion 5 (La Pampa) to obtain preponderant production systems. K-medoids yielded the best results finding two groups with a stability index> 0.78. These groups represent a cow-calving rearing fattening bovine system on native grassland and a second one of cow-calving rearing fattening on native grassland and cultivated pastures. The emissions of both groups are similar, being bovine the greatest contribution with cows explaining 75% within this category. The detail achieved by each group will allow the calculation of emissions to be improved by incorporating the agricultural component in future works.
Este trabajo utiliza k-means y k-medoids en los datos del Registro Provincial Agropecuario de la microrregión 5 (La Pampa) del año 2014 para obtener sistemas productivos preponderantes. K-medoids arrojó los mejores resultados encontrando dos grupos con un índice de estabilidad > 0.78. Estos grupos representan un sistema de cría- recría bovina sobre pastizal natural y otro de cría-recría bovina sobre pastizal natural y forrajeras cultivadas. Las emisiones de ambos grupos son similares, siendo bovinos el de mayor aporte con las vacas explicando el 75% dentro de esta categoría. El detalle logrado por grupo permitirá mejorar el cálculo de emisiones incorporando el componente agrícola en futuros trabajos.
Fil: Lozza, Anabella. Instituto Nacional de Tecnología Agropecuaria. Centro Regional La Pampa-San Luis. Estación Experimental Agropecuaria Anguil; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Bellini Saibene, Yanina Noemí. Instituto Nacional de Tecnología Agropecuaria. Centro Regional La Pampa-San Luis. Estación Experimental Agropecuaria Anguil; Argentina
Fil: Lorda, Héctor. Instituto Nacional de Tecnología Agropecuaria. Centro Regional La Pampa-San Luis. Estación Experimental Agropecuaria Anguil; Argentina
DATA MINIG, https://purl.org/becyt/ford/2.7, AGRO DATA MINING, MODELS, AGICT, CLUSTERING, https://purl.org/becyt/ford/2
DATA MINIG, https://purl.org/becyt/ford/2.7, AGRO DATA MINING, MODELS, AGICT, CLUSTERING, https://purl.org/becyt/ford/2
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