Aplicación de la inteligencia artificial en el control de calidad del camarón ecuatoriano y su impacto en los rendimientos empresariales 2020–2024.

Abstract

This research analyzes the application of artificial intelligence in the quality control of Ecuadorian shrimp and its impact on business performance during the period 2020–2024, considering the strategic importance of this sector as the country’s main non-oil export product. The study examines how the incorporation of technologies such as intelligent sensors, computer vision, automated classification systems, and Internet of Things–based tools has transformed production processes, enabling real-time monitoring of critical variables such as temperature, oxygen, salinity, and shrimp behavior. These innovations have contributed to improving traceability, reducing human error, optimizing resource use, and ensuring compliance with international standards required by markets such as China, the European Union, and the United States. The research adopts a mixed-method approach, combining documentary analysis, financial indicator review, and expert interviews, which made it possible to identify a positive relationship between the implementation of artificial intelligence and the operational efficiency of shrimp companies. Furthermore, technological adoption was found to enhance competitiveness by improving product quality, reducing rejections, and strengthening business sustainability. However, challenges such as high initial implementation costs and the need for specialized personnel were also identified. In conclusion, artificial intelligence represents a key factor in the modernization and sustainable growth of the Ecuadorian shrimp sector.