|
|
|
|
|
| Banchi,Ângelo D.; Garcia,Angel P.; Albiero,Daniel; Galvão,Cezário B.; Favarin,Luis G. A.. |
| ABSTRACT Recently, Brazilian agriculture and the mechanization process have been improved and developed, particularly in sugarcane cultivation. The developed processes should adopt suitable management practices in terms of the technical, economic, and operational logistical aspects. As a management tool, the present study aimed to measure the impact of the accumulated use of harvesters (life in h) and agricultural productivity (Mg · ha−1) on the harvesting operational capacity (HOC). Mathematical modeling was performed on data obtained from eight sugarcane production units, and equations corresponding to the HOC as a function of the harvester's life and the crop agricultural productivity were developed. The equation that best represented the phenomenon was... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Performance indicators; Maintenance management; Harvesting operational capacity; Agricultural mechanization. |
| Ano: 2020 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162020000500601 |
| |
|
|
| Banchi,Ângelo D.; Garcia,Angel P.; Grespan,Andrei; Albiero,Daniel; Favarin,Luis G. A.; Galvão,Cezario B.. |
| ABSTRACT The brazilian agriculture has expanded and improved its techniques in the last decades as well as the mechanization of sugarcane cultivation. Overall, the mechanization cost of this cultivation is the highest of the total cost of production in relation to other crops. That cost consists of several elements such as the cost of the harvester. This study aimed to develop a mathematical model that represents the operational cost of the harvester in relation to its operating life and agricultural productivity, parameters that are associated with its operational capacity. Simulations of this cost were conducted, raging the operating life of harvesters between 0 and 17,900 h, and the agricultural productivity of the cultivation from 50 to 130 Mg ha-1.... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Economic performance indicators; Multiple regression; Agricultural management; Agricultural machinery efficiency. |
| Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662019000700552 |
| |
|
|
|
