Development of a computer-based decision support tool for selection of optimum tractor-plough system for upland farming in Tanzania: a case of Mvomero district
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Date
2015
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Abstract
In Tanzania, farmers like others elsewhere, have to make informed choices of optimum
and cost effective farm machinery. The level, appropriate choice and subsequent proper
use of farm machinery has a direct and significant effect on productivity. Tanzanian
farmers use traditional intuitive farm machinery selection methods which, in most cases,
results in uneconomical investment. The overall objective of this study was to develop a
computer-based decision support system tool for selecting optimum tractor-plough
systems in Mvomero District. This objective was achieved by initial assessment of the
status of agricultural mechanization in the study area. Soil and terrain physical properties
including soil bulk density, texture, moisture content, cone index, and slope gradients
were determined to form a baseline data for selecting suitable farm machinery. Under the
determined soil and terrain characteristics, tractor-plough system’s field performance
parameters were subsequently determined. Theoretical mathematical models were
developed for the simulation of tractor-plough system’s static overturning stability limit
on slopes. Using SPSS software, regression models were developed to predict the tractor-
plough system’s field performance and static overturning stability. Employing
mathematical models developed in this study and from the literature, a computer-based
Tractor-Plough System Selection Tool (TPSST) was developed. The TPSST used
procedures and functions from the database to process data entered by users and displayed
the least-cost set of tractor–plough system along with other alternative sets. A sample of
TPSST output identified a least-cost set of two tractor-plough systems which are capable
of completing a 100 ha farm within allotted time. The set comprised of a 74kW
tractor/1.25 m plough system and a 31 kW tractor/0.99 m plough system. The simulation
output for the 74 kW tractor-plough systems included: 32 kN0 drawbar pull, 26 kN
draught force, 16.5l/h fuel consumption and TZS 3 665 720 total annual cost. Theiii
simulation output for the 31 kW tractor-plough systems was: 12 kN drawbar pull 4 kN,
draught force, 6.9 L/h fuel consumption and TZS 1 665 193 total annual cost. It is
expected that the TPSST will assist in performing tasks of different agricultural
mechanization stakeholders including designers, manufacturers, researchers, trainers, farm
machinery managers, extension staff and consultants.
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Keywords
tractor-plough systems, computer bases support tool, plough system, farm machinery