Evaluation of the productivity quality of the cocoa bean according to the Theory of Practice (TP) and Artificial Intelligence: a systematic review

Autor: Dairo Alegría-Campo, Orlando Zúñiga-Escobar, Aida Huerta-Barrientos
Rok vydání: 2023
Předmět:
Zdroj: DYNA. 90:71-76
ISSN: 2346-2183
0012-7353
DOI: 10.15446/dyna.v90n225.103832
Popis: This article focuses on the need to involve concepts from different disciplines that involve Theory of Practice (TP) and Artificial Intelligence (AI) with different structural elements for an agricultural system in the productivity and quality of the cocoa bean. As well as the indisputable contribution of environmental sciences and philosophical concepts on the same system, where the method applied on this research, from the systematic review, gives rise to a summary of data related to the individual studies applied on each field of interest. Based on the results, on the individual studies, we extract the most relevant articles from the key concepts as a classification scheme to later make the systemic map. The use of this method leads to the description of the general objective, specific objectives, discovery of the knowledge gap and the scientific contribution of the research.
Databáze: OpenAIRE