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EVALUATION OF HUMAN POSTURES DURING WORK IN COFFEE CROPS IN THE SOUTHERN REGION OF MINAS GERAIS Engenharia na Agricultura
Fernandes, Allan Alves; de Lima, Renato Ribeiro; Cirillo, Marcelo Ângelo; Barbosa, Marco Antônio Gomes; Veiga, Elayne Penha.
Brazil is the largest coffee producer in the world and Minas Gerais is the state responsible for 51.14% of this production, corresponding to 1.55 million tons of beans. In this context, contribution from family farming is signifcant. The aim of this work was to use a multivariate statistical methodology to provide plausible and interpretable results to diagnose the most influential body postures for each worker in coffee crops. Twelve workers were observed during a period of one hour in different tasks. Greater variability of body posture was shown during herbicide application on sloping ground. Despite body postural variability among workers during the tasks, some body postures, like 131 and 231, stood out. The proposed methodology allowed to identify the...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Cafeicultura; Estatística; Ergonomia na Agricultura coffee culture; Ergonomics; Multivariate analysis; Postural combinations.
Ano: 2017 URL: http://www.seer.ufv.br/seer/index.php/reveng/article/view/806
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Statistical procedure for the composition of a sensory panel of blends of coffee with different qualities using the distribution of the extremes of the highest scores Agronomy
Cirillo, Marcelo Ângelo; Ramos, Mariana Figueira; Borém, Flávio Meira; Miranda, Felipe Mesquita de; Ribeiro, Diego Egídio; Menezes, Fortunato Silva de.
The identification and interpretation of discrepant observations in sensory experiments are difficult to implement since the external effects are associated with the individual consumer. This fact becomes more relevant in experiments that involve blends, which scrutinize coffees with different qualities, varieties, origins, and forms of processing and preparation. This work proposes a statistical procedure that facilitates the identification of outliers while also evaluating the discriminatory powers of a sensory panel concerning the differentiation of pure blends and coffees. For this purpose, four experiments were performed that tested coffees with different qualities and varieties. The results suggest that the statistical procedure proposed in this work...
Tipo: Info:eu-repo/semantics/article Palavras-chave: 5.03.03.01-5 canephora; Arabica; Mixture; Models. Pré-processamento e armazenamento de produtos agrícolas e.
Ano: 2019 URL: http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/39323
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Physiological and sensorial quality of Arabica coffee subjected to different temperatures and drying airflows Agronomy
Alves, Guilherme Euripedes; Borém, Flávio Meira; Isquierdo, Eder Pedroza; Siqueira, Valdiney Cambuy; Cirillo, Marcelo Ângelo; Pinto, Afonso Celso Ferreira.
The objective of this study was to evaluate the correlation between a group of physiological variables (electrical conductivity, potassium leaching, and germination percentage) and a group of drying kinetics variables (drying time and drying rate) in addition to verifying the relation between drying kinetics variables and coffee quality as a function of processing type, temperature, and drying airflow. Coffee drying was conducted in a fixed-layer dryer at two temperatures and two airflows. After drying, an evaluation of the physiological and sensorial quality was conducted. Based on the results obtained, the following conclusions were drawn: coffee that is processed via a dry method is more sensitive to mechanical drying with heated air than coffee...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Ciências Agrárias. Engenharia Agrícola. Engenharia de Processamento de Produtos Agrícolas. Pré-processamento de produtos agrícolas drying kinetics; Processing; Drying rate. Pré-processamento de produtos agrícolas.
Ano: 2017 URL: http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/31065
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Statistical procedure for the composition of a sensory panel of blends of coffee with different qualities using the distribution of the extremes of the highest scores Agronomy
Cirillo, Marcelo Ângelo; Ramos, Mariana Figueira; Borém, Flávio Meira; Miranda, Felipe Mesquita de; Ribeiro, Diego Egídio; Menezes, Fortunato Silva de.
The identification and interpretation of discrepant observations in sensory experiments are difficult to implement since the external effects are associated with the individual consumer. This fact becomes more relevant in experiments that involve blends, which scrutinize coffees with different qualities, varieties, origins, and forms of processing and preparation. This work proposes a statistical procedure that facilitates the identification of outliers while also evaluating the discriminatory powers of a sensory panel concerning the differentiation of pure blends and coffees. For this purpose, four experiments were performed that tested coffees with different qualities and varieties. The results suggest that the statistical procedure proposed in this work...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Canephora; Arabica; Mixture; Models.; Pré-processamento e armazenamento de produtos agrícolas e.
Ano: 2019 URL: http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/39323
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