Computer Simulation for Haulage Performance of Power Tiller
The presence of a large number of marginal and small land holdings in India has rendered the power tiller to be the most suitable farm equipment for field operations, in view of its compact size, profitability and versatility, but the transport work which is also required to carry the farm produce is yet to be proved. Keeping these in mind, user friendly software was developed for predicting the haulage performance of power tiller to meet requirements in educational and research organizations. The developed software requires input parameters such as power tiller, trolley and operating conditions. The developed software was validated by conducting experiments with a 6.7 kW power tiller using a suitable trolley on tarmacadam road at various payloads and road slopes. The draft, slip, fuel consumption and speed were measured and other haulage performance parameters were calculated based on measured values to validate the developed software. The results simulated by software indicate lower draft and slip in the range of 1-23 and 2-9% with respect to the experimental data, however, higher transport productivity was in the range of 3-12%.
DEVELOPMENT OF A COMPUTER PROGRAM USING VISUAL BASIC FOR PREDICTING PERFORMANCE PARAMETERS OF TILLAGE IMPLEMENTS
This research effort is looking at alternatives to equation-based modeling; the ability to make predictions without creating equations to describe variable relations satisfies the research goals. A program for predicting performance of tillage implements in visual basic based on trained artificial neural network was developed.  The program was designed to predict the required draft and energy of chisel, moldboard and disk plows. Field efficiency for each plow was assumed. The results of the program application are found almost identical with actual performance data of the selected plows. The fuel consumption could be determined through rated PTO power of a tractor. Hence, the developed program can be used to aid decision – makers in selecting the optimum tractor–machine complement size during operation under specific conditions of the soil and both plowing speed and depth. The specifications of each plow were considered as inputs in the program. The benefit of the program is to assist graduate and undergraduate students in agricultural engineering field to estimate data performance of tillage implements.
Representation of systems disturbed by wide band noise
In this paper, a method of handling and working with wide band noise is developed. We represent wide band noise as a distributed delay of white noise and use it to reduce a nonlinear system disturbed by wide band noise to a nonlinear system disturbed by white noise. An application of this reduction to a nonlinear filtering problem under a wide band noise disturbance is discussed.