Transformación digital: Evolución de las aplicaciones de inteligencia artificial en la industria del café

Esteban Largo Avila; Carlos Hernán Suárez Rodríguez; Edwin Arango Espinal

doi:10.14482/inde.43.01.445.864

Authors

Esteban Largo Avila Universidad del Valle (Colombia) https://orcid.org/0000-0001-6047-1523
Carlos Hernán Suárez Rodríguez Universidad del Valle (Colombia) https://orcid.org/0000-0002-1304-3646
Edwin Arango Espinal Universidad del Valle (Colombia) https://orcid.org/0000-0002-2231-3513

DOI:

https://doi.org/10.14482/inde.43.01.445.864

Keywords:

Artificial Intelligence, Bibliometric Indicators, Bibliographic mapping, Coffee, Sensory Quality

Abstract

The evolution of Artificial Intelligence (AI) in coffee is crucial for transforming this agro-industry. Colombia annually produces 12.6 million sacks and develops research on AI applied to the sector; from the detection of defects in grains to the optimization of roasting to improve coffee quality. However, there is a lack of publications that address research lines and indicators comprehensively. In this context, this research work was based on a multivariate statistical analysis of hierarchical clustering used in the bibliometric analysis methodology. This allowed inferring the current research trend in AI applied to the coffee industry. Additionally, using bibliometric techniques for information retrieval, 208 documents from the Scopus database were refined and analyzed with descriptive statistics. The results showed that Colombian researchers significantly impact the production of knowledge in AI applied to coffee, compared to Brazil, the largest coffee producer. Furthermore, research lines in market analysis through Machine Learning (ML), technologies to detect diseases and improve productivity, algorithmic methods to solve challenges in this agro-industry, and the use of remote sensing and AI for environmental and agricultural management in production were identified.

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