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| Paixão,Carla S. S.; Voltarelli,Murilo A.; Oliveira,Luan P. de; Bernache,Leonardo; Silva,Rouverson P. da. |
| ABSTRACT The mechanized harvesting of sugarcane has increased exponentially in recent years because of the gradual prohibition of burning on the cane fields in mechanizable and non-mechanizable areas. This study aimed to evaluate the wear of the basal cutting knives in two different mechanized sugarcane harvesters, through statistical process control. The experiment was conducted in Cravinhos, São Paulo, in an agricultural area, on July 25, 26, and 27, 2016. Two harvesters with different basal cutting mechanisms were evaluated: harvester A—Model BE1035e (conventional type knife), and harvester B—Model A8800 (racket type knife). The experimental design was completely randomized with two treatments. The wear was quantified by measuring the thickness increase... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Basal cutting; Control charts; Mechanized harvesting; Quality indicator; Statistical process control. |
| Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162019000400498 |
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| Arcoverde,Sálvio N. S.; Cortez,Jorge W.; Olszevski,Nelci; Salviano,Alessandra M.; Giongo,Vanderlise. |
| ABSTRACT The inadequate agricultural management in the semiarid region of northeastern Brazil, associated with the fragility of most soils, has caused degradation of the quality of this resource. This study aimed to evaluate the quality of Quartzipsamments under different uses through the multivariate analysis of chemical and physical attributes. Five areas were selected: four of them with agricultural use (onion, banana, cassava, and corn) and the other with Caatinga. Soil samples were collected at depths of 0.00–0.10, 0.10–0.20, and 0.20–0.40 m for chemical and physical analyses. The data were submitted to descriptive analysis and then to the multivariate analysis using the principal component analysis (PCA) technique and Ward’s clustering method. PCA... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Principal component; Quality indicator; Soil quality; Sandy soils. |
| Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162019000400457 |
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