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Technical Paper

A Single Unit Till-Planting System for Egyptian Soil

1999-09-14
1999-01-2827
A new prototype of a single unit till-planting system suitable for Egyptian soil was designed, constructed, and tested under soil bin and field conditions. Measurements were taken for draft, soil mean weight diameter, and seedling emergence. Results indicated that there are potential benefits of using this system rather to other tillage systems under dry and hard soil conditions. An optimum seedbed was created for rapid seedling emergence. Combinations of tillage, planting, and fertilizer application were performed in a single operation to reduce power and time requirements for crop production.
Technical Paper

An Integrated Flow Divider/Combiner Valve Design, Part 2

1993-09-01
932401
The development of high precision flow divider/combiner valves has received considerable attention by the authors over the past decade. Several different valve designs for division and combination of flow have been designed which display small flow dividing/combining error (1-2%) when compared to conventional designs (2-10%). Recent studies have improved upon the design in order to reduce cost, weight and complexity of the valve. This paper will present the latest of the authors research into the development of a high precision, autoregulated flow divider/combiner valve with an integral shuttle valve. The autoregulator extends the operating range of the integrated flow divider/combiner valve (for errors less than 2 %) to 10-50 lpm compared to 30-50 lpm for the unregulated valve.
Technical Paper

Investigation of a Feedrate Sensor for Combine Harvesters

1993-09-01
932428
The agricultural combine harvester is one of the most complex of machines used in cereal grain production. It is believed that significant increases in efficiency and productivity could be realized if several of the machine adjustments could be automatically controlled. One of the most important parameters to measure and control is the feedrate, i.e. the mass flow rate of material entering the machine. This paper reports on an investigation of a sensor, using electrical capacitance techniques, to measure feedrate.
Technical Paper

Seedling Emergence Simulation Using Mechanical Probes

1992-09-01
921618
Understanding the Relationships between plants and soil is important in the development of methods of crop production. Although physical properties of soil conducive to plant growth can be recognized by experienced observers, many of these properties have not been defined satisfactorily in mathematical or physical terms. A method of measuring penetration resistance and energy exerted by a mechanical seedling (a steel probe simulating a seedling) as it moved upward through the soil surface under different levels of surface compaction and soil moisture was examined. Mechanical seedlings with 2.06, 3.19 and 4.65 mm tip diameters were tested at soil moisture levels of 13, 17, and 20%. The penetration rate of the mechanical seedling while moving through the soil was held constant at 10 mm/min. Results showed that the emergence energy increased directly with soil surface compaction pressure, initial soil moisture content, and mechanical seedling diameters.
Technical Paper

Some Applications of Neural Network Technology to Fluid Power Systems

1997-09-08
972768
In many areas, neural network technology has made a successful transition from theory to practical application, primarily due to the advances that have been made in computer technology and digital signal processing. Research at the University of Saskatchewan over the past few years has focused on applying neural network technology to fluid power systems. This paper will examine four projects that have been initiated by the authors and their graduate students which use neural networks for purposes of open loop pattern following, multiple input - multiple output control, indirect measurement of actuator displacement, and hydraulic component identification. A brief introduction to static and dynamic neural networks is given. Descriptions of the individual project objectives, the experimental implementation of neural networks to achieve these objectives, and some typical experimental results are considered.
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