Resumen

CHOEZ FRANCO, Katherine Elizabeth; LEMA CARRERA, Miguel Ángel  y  ANDRADE YUCAILLA, Verónica Cristina. Mathematical models and digital image processing for the determination of goat milk production. uct [online]. 2023, vol.27, n.119, pp.99-107.  Epub 15-Mar-2024. ISSN 1316-4821.  https://doi.org/10.47460/uct.v27i119.711.

In order to develop an application in MATLAB to help the producer in the selection of dairy goats, two data processing techniques were used; mathematical profiling and digital image processing, 10 lactating goats were sampled, data was collected for 60 days, divided into three periods: initial, middle and final lactation. Photographs were captured directly from the udder at a distance of 50 cm horizontally and a height of 60 cm and the main measurements of the udder were taken. A database with photographic information was created and processed in GeoGebra and MATLAB software to estimate udder volumes. The results showed that there is no statistical significance between the methods used to calculate udder size (P>0.05), and the best mathematical model that related the variables studied was the grade 6 polynomial model (R2=0.881).

Palabras clave : MATLAB; food production; goat livestock; UNESCO Code: 3104.04.

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