Resumen
This article comprehensively addresses the relationship between agricultural production and climate change in the South American region. Through a documentary study with quantitative approach and, historical data are analyzed to assess the impact of greenhouse gas emissions in agriculture and their consequent influence on climate. Correlation, principal component analysis and clustering techniques are used to identify significant patterns and trends. The results obtained provide valuable information on the dynamics of agricultural production and its relationship with climate change, highlighting the importance of adopting sustainable practices to mitigate adverse effects on the environment.
Idioma original | Inglés |
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Título de la publicación alojada | Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 27th Iberoamerican Congress, CIARP 2024, Proceedings |
Editores | Ruber Hernández-García, Ricardo J. Barrientos, Sergio A. Velastin |
Editorial | Springer Science and Business Media Deutschland GmbH |
Páginas | 104-119 |
Número de páginas | 16 |
ISBN (versión impresa) | 9783031766039 |
DOI | |
Estado | Publicada - 2025 |
Evento | 27th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, CIARP 2024 - Talca, Chile Duración: 26 nov. 2024 → 29 nov. 2024 |
Serie de la publicación
Nombre | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volumen | 15369 LNCS |
ISSN (versión impresa) | 0302-9743 |
ISSN (versión digital) | 1611-3349 |
Conferencia
Conferencia | 27th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, CIARP 2024 |
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País/Territorio | Chile |
Ciudad | Talca |
Período | 26/11/24 → 29/11/24 |
Nota bibliográfica
Publisher Copyright:© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.