Performance Evaluation of Farm Tractor Using Variable Weights on Rear Wheels During Ploughing and Sowing Operations

Jebur, Hussein A.; Mostafa, M. M.; El-Sahhar, E. A.; El-Nono, M. A.; Elattar, Merna

doi:10.21608/mjae.2013.101930

Cited by 3 publications

(2 citation statements)

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“…Agricultural mechanization is the power source in agriculture, through the agricultural machine that is connected to mechanization, several agricultural operations can be accomplished at the same time, including irrigation [1][2][3]. The most prevalent problem in Iraq is the water provision problem, this is represented in the increasing fuel price used to operate pumps for raising irrigation water, that high prices of transportation and delivery, in addition to the obstacles and power problems generation sources diesel engines, the cost of their maintenance and the life span of these Engines [4].…”

Section: Introductionmentioning

confidence: 99%

Hydraulic Performance of a Solar-Powered Drip Irrigation System

Hameed

Jebur

2023

IOP Conf. Ser.: Earth Environ. Sci.

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The effect of emitter type and operating pressure on some hydraulic properties of a solar-powered drip irrigation system, under three types of dots, Turbo, Spiral, and GR, and three operating pressures100, 150 and 200 cm piezo meters were used. The results showed an increase in the values of the emitters discharge rate, emission consistency, and the decrease in the values of the variance ratio in the discharge and the coefficient of manufacturing variation by increasing the operating pressure for the Turbo, Spiral and GR emitters, respectively. The highest values of the droplet discharge rate were 4.98 and 5.56 L.hr-1 for GR and Spiral compared to 7.31L.hr-1 for Turbo type. The results showed that the operational pressures had a significant effect on increasing the rate of discharge and the consistency of the emission and decreasing the values of the rate of synthetic variation and the percentage of variation in the discharge, as the lowest coefficient of variation was 0.0260, 0.0393 and 0.0436 for the Turbo, Spiral and GR emitter, respectively. The use of different operating pressures led to an increase in the rate of discharge as well as the values of consistency of the flow and reduced the percentages of variation in expenses and the coefficient of manufacturing variation of the drippers. The average expenditure values were 3.732, 4.679 and 5.952 liters.hour-1 for operating pressures 100, 150 and 200 cm, respectively. The emission consistency values were also increased and were 91.11, 93.78 and 95.53%, and the coefficient of variation ratios were reduced by 32.13, 17.08 and 8.89% for the aforementioned operating pressures.

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Section: Introductionmentioning

confidence: 99%

Hydraulic Performance of a Solar-Powered Drip Irrigation System

Hameed

Jebur

2023

IOP Conf. Ser.: Earth Environ. Sci.

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“…Normally, wheel slip, fuel consumption, draft force, tractive performance, drawbar power, overall energy efficiency, and rate of plowed soil volume are considered to represent performance attributes of a mechanization unit [9][10][11]. Numerous research papers have established practical mathematical equations to predict performance attributes of a tractor-chisel plow unit, to enhance and realize the activities of the main parameters of draft force requirements [12] and fuel consumption [13,14], which are in fact better indicators of the energy requirement for each implement [15].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Artificial Neural Network to Model Performance Attributes of a Mechanization Unit (Tractor-Chisel Plow) under Different Working Variables

2022

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The focal objective of the current research is to apply artificial neural network (ANN) and multiple linear regression (MLR) methods for modeling the performance attributes of a mechanization unit (tractor-chisel plow) during the plowing process under both different soil types and working variables. Two different parameters to represent working conditions and soil type were considered as potential input parameters. The first parameter represented soil type by calculating soil texture index as a combination of clay, silt, and sand. The second one was constructed into one dimensionless parameter, namely the field working index. This index linked most working variables such as plowing speed, plow width, soil moisture content, soil bulk density, tractor power, and plowing depth. The performance of the created ANN and MLR models was appraised by computing mean-absolute-error criterion for the testing dataset. The mean absolute error values for draft force, effective field capacity, fuel consumption, drawbar power, overall energy efficiency, rate of plowed soil volume, and loading factor, were 1.44 kN, 0.03 ha/h, 1.17 L/h, 2.28 kW, 0.68%, 73.97 m3/h, and 0.08 (decimal), respectively, when the ANN model was applied. In addition, coefficient of determination (R2) acted as a criterion for judging the performance of the developed models, and their values when ANN was applied were 0.569, 0.384, 0.516, 0.454, 0.486, 0.777, and 0.730 for the same performance attributes, respectively. When the MLR model was applied, the corresponding values of R2 were 0.239, 0.358, 0.352, 0.429, 0.511, 0.482, and 0.422, respectively, for the same attributes. The current study adds to the standing literature by contributing data and information regarding the performance attributes of a tractor-chisel plow unit under specific working variables and soil types. In addition, the models developed for plowing operations in different soil texture and under the field working index are recommended for use in budgeting for diesel consumption, in calculating operation cost, in matching mechanization units of tractor-chisel plows, in estimating energy requirements of tractor-chisel plow combinations, etc.

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