Machine learning applied to understand perceptions, habits and preferences of lamb meat consumers in the Brazilian semi-arid region

The objective of this study was to characterize the profile of the lamb consumer in the Brazilian semi-arid region using a machine learning approach. A total of 347 questionnaires with questions about socioeconomic aspects, consumption habits and preferences, meat preparation, and appreciation due t...

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Bibliographic Details
Published in:	Small ruminant research Vol. 227; p. 107088
Main Authors:	Silveira, Robson Mateus Freitas, Lima, Débora Fonteles, Camelo, Beatriz Veloso, McManus, Concepta, da Silva, Valdson José, Ferreira, Josiel, Costa, Hélio Henrique Araújo, dos Santos Dias, Carlos Tadeu, Contreras-Castillo, Carmen Josefina, Paveloski, Alessandro, De Vecchi, Laura Bertolaso, Sales, Arthur Pereira, Sarries, Gabriel Adrian, Landim, Aline Vieira
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01-10-2023
Subjects:	Multivariate analysis Semi-arid region Sheep meat Survey Survey Semi-arid region Multivariate analysis Sheep meat
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Summary:	The objective of this study was to characterize the profile of the lamb consumer in the Brazilian semi-arid region using a machine learning approach. A total of 347 questionnaires with questions about socioeconomic aspects, consumption habits and preferences, meat preparation, and appreciation due to product quality were applied. A combination of cluster analysis (hierarchical and k-means), canonical discriminant analysis, neural network, and tree analysis were performed. The machine algorithms revealed three clusters: Traditional profile - Mature rural consumers, married or single, low level of education, low salary level, average consumption of meat, who do not pay for quality and do not know the benefits of lamb products; Emerging profile: Young men and women, single, with a high level of education, intermediate salary level, low consumption of meat, pay for quality, and do know the benefits of lamb meat; and Conventional profile: Mature urban consumers who live in the city, married and single, with a high level of education and salary, low consumption of meat, pay for quality and do not know the benefits of lamb meat The neural network confusion matrix for classifying consumers in the profile determined that 75.5% were classified in their group of origin, which validates the construction of the typology of consumers by the cluster analysis algorithms. Age was the main variable to segregate the nodes of the decision tree (P < 0.001): Node 1- < = 22; Node 2 > 22 < 29 and Node 3 > 29 years The use of a machine learning approach was able to reveal three types of consumers and defined patterns that could serve as strategies for increasing consumption and greater insertion of lamb in the meat market, as well as analyzing the perception of Brazilians in relation to the meat quality, where these findings may have implications for labelling schemes, marketing and sales strategies for cooked lamb products. •Machine intelligence was used to identify and discriminate profiles of lamb meat consumers.•Three profiles of sheep meat consumers were revealed.•The main insights are the informality in marketing, the lack of standardization of cuts and the cultural aspect for low consumption of lamb meat.
ISSN:	0921-4488 1879-0941
DOI:	10.1016/j.smallrumres.2023.107088