Resumen

LARGO AVILA, ESTEBAN; SUAREZ RODRIGUEZ, CARLOS HERNÁN  y  ARANGO ESPINAL, EDWIN. Digital transformation: evolving applications of artificial intelligence in the coffee industry. Ing. Desarro. [online]. 2025, vol.43, n.1, pp.64-83.  Epub 03-Ene-2025. ISSN 0122-3461.  https://doi.org/10.14482/inde.43.01.445.864.

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 comprehensively address research lines and indicators. In this context, this research work was based on a multi-variate 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.

Palabras clave : artificial intelligence; bibliometric indicators; bibliographic mapping; coffee; sensory quality.

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