Differentiation and characterization of beef cattle producing municipalities in the Mata Atlântica biome according to the 2017 Agricultural Census

Authors

DOI:

https://doi.org/10.5335/rbca.v14i2.13473

Keywords:

Agricultural systems, Machine learning, Typologies

Abstract

The objective of this work is to typify beef cattle producing municipalities in the Mata Atlântica biome based on data from the 2017 Agricultural Census and employing machine learning techniques. Special census tabulations were needed to aggregate agricultural holdings by municipality, with emphasis on the technical characteristics of livestock production systems. Four groups of municipalities were identified according to the biome’s production patterns: two high-tech groups, one of them with emphasis on confinement; an intermediate technology group and a low technology group. The mapping of the different production patterns throughout the territory can support research, technology transfer and development actions that are more appropriate to the different situations of producers.

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Published

2022-06-13

Issue

Section

Selected papers XIII SBIAGRO (2021)

How to Cite

[1]
2022. Differentiation and characterization of beef cattle producing municipalities in the Mata Atlântica biome according to the 2017 Agricultural Census. Brazilian Journal of Applied Computing. 14, 2 (Jun. 2022), 67–74. DOI:https://doi.org/10.5335/rbca.v14i2.13473.