Show simple item record

dc.contributor.authorOskoui, Kazem Eradaten
dc.date.accessioned2019-02-15T14:15:39Z
dc.date.available2019-02-15T14:15:39Z
dc.date.issued1981
dc.identifier.urihttp://hdl.handle.net/1842/33439
dc.description.abstracten
dc.description.abstractPrimary tillage largely dictates the power requirement on an arable farm. As power and machinery costs continue to rise, it is important to provide a sound management base for the optimum selection of tractor size. A tractor power selection programme has been developed by examining a single operation for a single crop, namely, ploughing for cereals.en
dc.description.abstractThe tractor power selection programme comprises seven essential sections each of which an be used separately and independently depending on the type of the output required. The even major steps are the prediction of soil moisture, soil workability, soil strength, tractor performance, plough draught and system cost and the selection of a limited number of suitable tractor plough combinations.en
dc.description.abstractFor the prediction of daily fluctuations of soil moisture content, the amount of water rained by the soil is balanced against the amount of water lost. Water added to the soil in he form of precipitation and irrigation is lost by means of evapotranspiration, drainage and surface run -off. Potential evaporation is calculated by means of an empirical equation sing mean monthly air temperature and converted to actual evaporation from the soil and transpiration from vegetation where present. Factors are incorporated to correct for the dryness of the soil, the duration and intensity of precipitation and the stage of the crop which is covering the soil. Daily values of drainage flux was calculated from the hydraulic conductivicies and moisture content of the soil at saturation and field capacity and soil moisture content prior to commencement of drying. Existing empirical procedures were utilised to calculate run -off.en
dc.description.abstractBy analysing the predicted soil moisture contents, each calendar day can be assigned as suitable for farm work (a work day) or unsuitable for a given operation (non -work day). As oil workability varies from soil to soil, machine to machine and farm manager to farm manager, the adoption of a unique soil moisture value to differentiate between soil workability and unworkability is unrealistic. A procedure has therefore been adopted to enable the number if work days to be calculated at different levels of soil moisture content or workability criteria. The data is analysed for a number of years (up to 20) and then the cumulated number years on which a given day was a work day or a non -work day with a given workability criterion was determined for different probability levels. This data is of direct relevance lot only to machinery planning but also to irrigation planning and for timeliness penalty evaluation.en
dc.description.abstractSoil strength in terms of the cone penetrometer resistance or cone index of the soil at a given soil workability criterion level is predicted by an empirical equation containing soil bulk density. The cone index influences the pull produced by the tractor for a given set of tyre and deflection data and the tractor power required. It also affects the draught requirements of the plough of given dimensions, tail angle, number of bodies and depth of cut.en
dc.description.abstractThe cost of owning a machinery system is calculated in the form of the present annual cost, taking into account the effect of inflation and interest rate by using discounted cash flows. the purchase prices of tractors and implements were related to the average price per unit of power and per unit width of plough, respectively. Crop loss or timeliness penalties through delayed operations are also determined.en
dc.description.abstractFinally, the various different ploughing systems with different sizes of tractors and Ploughs and at different operations speeds are examined and a small number of suitable systems are presented in a form which enables the farmer or farm manager to take into account other critique management parameters of his particular farm business.en
dc.publisherThe University of Edinburghen
dc.relation.ispartofAnnexe Thesis Digitisation Project 2019 Block 22en
dc.relation.isreferencedbyAlready catalogueden
dc.titleAgricultural mechanisation systems analysis: tractor power selection for tillage operationsen
dc.typeThesis or Dissertationen
dc.type.qualificationlevelDoctoralen
dc.type.qualificationnamePhD Doctor of Philosophyen


Files in this item

This item appears in the following Collection(s)

Show simple item record