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Revista San Gregorio

versión On-line ISSN 2528-7907versión impresa ISSN 1390-7247

Resumen

PONCE ORDONEZ., Jéssica; ERAZO MORETA., Orlando  y  VICUNA PINO., Ariosto. Statistical Techniques Applied to Cocoa Characterization with an Agromatic Approach. Revista San Gregorio [online]. 2021, vol.1, n.46, pp.198-211. ISSN 2528-7907.  https://doi.org/http:10.36097/rsan.v1i46.1527.

As in other areas, agriculture has begun to receive the benefits of Information and Communication Technologies (ICT), which has led to the need of referring to agromatics. In addition, in the agricultural area several statistical techniques are used that lead to question about the combination of these ones. Although bibliographic reviews have been carried out on agromatics, little evidence is available on the statistical-ICT combination from this point of view. Therefore, the objective of this work was to identify the different statistical techniques used in studies on cocoa with an agromatic approach. For this purpose, a search protocol was defined with the aim of identifying different statistical techniques and software employed. Both univariate and multivariate techniques were found, which are usually executed with the help of some general-purpose statistical software, and in some cases, they are complemented with more specific-purpose applications. According to the findings, and in accordance with related works, the need to continue promoting the benefits of ICT in the agricultural area is evident.

Palabras clave : Agricultural statistics; statistical software; cocoa characterization; agromatics; ICT.

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