Delorme Corrêa Júnior

Consumo operacional de combustível de uma colheitadeira de cana-de-açúcar

Studies have shown that using higher operational capacity harvesters render less fuel consumption per harvested area and, as a result, less operating expenses. This paper aims to obtain the effective fuel consumption per hour of the CASE IH A4000 harvester during the mechanical harvest of raw sugar cane. The study took place in a sugar cane plantation with mechanical harvest in an area belonging to a producer for Coagro (Cooperativa Agroindustrial do Estado do Rio de Janeiro Ltda.) (Agroindustrial Cooperative of the State of Rio de Janeiro), in the municipality of Campos dos Goytacazes, Rio de Janeiro/Brazil. The variety of sugar cane was evaluated at RB867515 in its third cut. The system of automatic data acquisition was built from a volumetric flow sensor to determine the fuel flow, in addition to a data collector (Datalogger) and a global positioning system (GPS) device. To determine the fuel consumption per hour, data from the fuel flow sensor were used. The consumption per hour of fuel was 33.9 L.h-1. The effective consumption was estimated in 1.84 L. ton-1. The consumption per hour and the effective consumption of the CASE IH A4000 were more than double of what the manufacturers stipulated, which means, the consumption is much higher than desirable.

Índice de cone após colheitas mecanizadas de cana-de-açúcar no Norte Fluminense

This study aimed at evaluating the cone index, in depths of 0 to 0.3 m after mechanized harvesting of green sugarcane using the harvester Case A8800 and Case A4000 in the North-Fluminense region of Rio de Janeiro State. The results were analyzed using descriptive statistics, variance analysis, and Tukey test at 5% probability. The cone index shows that area 2 is more compact than area 1. In area 1, the subsoil layers are more compressed than the surface layer; while in area 2, different depths are equally compressed. Considering these results, this study recommends subsoiling in the two areas.

Cone index after mechanized harvesting of sugarcane in the North Fluminense

Este trabalho objetivou avaliar o indice de cone, nas profundidades de 0 a 0,3 m apos colheitas mecanizadas de cana-de-acucar crua, utilizando as colhedoras Case A8800 e Case A4000 na regiao Norte Fluminense. Os resultados foram analisados por meio da estatistica descritiva, analise de variância e teste Tukey a 5% de probabilidade. O indice de cone mostrou que a area 2 esta mais compactada que a 1. Na area 1, as camadas subsuperficiais do solo estao mais compactadas que a camada superficial. Na area 2, as diferentes profundidades estao igualmente compactadas, recomendando-se uma subsolagem nas duas areas.

Programa computacional para calcular a potência requerida de máquinas e implementos agrícolas

The use of software in agriculture allows the achievement of specific objectives in the sector. One of most complex objectives is to choose properly agricultural machines and implements, mainly due to the wide variety of equipment available in the market and the range of tasks and work situations that they are subjected in the field. The objective of this study was to develop a piece of software to calculate the power requirement of farm machines and implements used to carry out field operations, from soil preparation to planting. The software was developed using the PHP language and based on ASAE Standard D497.4 - Agricultural Machinery Management Data, as reference to develop calculations. The software developed allowed the performance of tasks to calculate the demanded power of agricultural machines and implements in a simplified way using the internet.