Modeling and Optimization of Agroindustrial Processes Using Differential Calculus: A Bibliometric Analysis of Trends
DOI:
https://doi.org/10.70577/asce.v5i3.979Keywords:
Agriculture; mathematical models; optimization; bibliometrics; agricultural engineering.Abstract
Modern agribusiness requires analytical tools to optimize production processes, improve resource use, and reduce the environmental impacts associated with the transformation of agricultural raw materials. In this regard, mathematical modeling and differential calculus are crucial quantitative foundations for analyzing objective functions, rates of change, and optimal conditions in agroindustrial systems. This study aimed to analyze scientific trends in the modeling and optimization of agroindustrial processes using differential calculus, employing a bibliometric approach applied to literature indexed in Scopus and Web of Science. A final corpus of 474 articles was compiled, refined according to documentary selection criteria, and processed using bibliometric tools focused on analyzing general indicators and constructing a thematic map. The results revealed a growing body of scientific output, with contributions from 1,722 authors and the identification of 1,799 conceptual terms defined by these same authors. The thematic map revealed the field's core themes, the most developed lines of research, emerging topics, and those that have lost scientific visibility. These results provide a structured view of the area's evolution and constitute a basis for guiding future research aimed at designing more efficient and sustainable agroindustrial models adapted to current production challenges.
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Copyright (c) 2026 Blakeslees Streisand Suarez Munoz , Cristian Andrés Flores Cadena , Jessica Elizabeth Cedeño Bermeo , Luis Adrián Choez Acosta , Cristhian Paul Rivadeneira Burgos
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