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Title TILLAGE MACHINERY SELECTION MODEL FOR COMBINED NONCONTIGUOUS FARMS
Journal International journal of Engineering And Applied Science
Publisher Faculty of Engineering, Nnamdi Azikiwe University, Awka Nigeria.
Issue 1
ISSN 1119-8109
Pages 13-25
Subject Agricultural & Bioresources Engineering
Date of Publication December 25, 2018

AUTHOR(S) Amaefule, Desmond O. 1,Oluka,Ike S. and Nwuba,Uba E. I.

ABSTRACT

Small capital and fragmented scattered holdings hinder farm mechanization. These bottlenecks abound in smallscale farms and in developing countries.Machinery transport considerations were incorporated into the Hunt-Wilson least-cost tillage machinery selection model. The model was adapted to tillage implement capacity selection for noncontiguous small farms.The prior width-dependent machine capacity input requirement of the Hunt-Wilson model was circumvented, making the selection process less subjective and not susceptible to the user’s experience. The model was validated with parameters from ploughing operations of the machinery hiring unit of the Anambra State Ministry of Agriculture Awka, Nigeria. A 3.3651 m plough width adjusted from the width predicted for the 675 ha with the developed model was considered adequate when compared with the adjusted required basal 2.1909 m size. It was thus chosen for processing the farms. 4 units of 0.9 m working width (ie 0.3100 ha/hr) tractor-powered disc plough which is locally readily available was chosen to provide the desired capacity. The 4 ploughs with 1.240 ha/hr total capacity (ie 3.599 m width) will each be powered by a 48.5 kW tractor. The chosen set of machinery will incur an annual plough machinery and transport cost per hectare of N12,866.95. The developed models will assist in selecting cost-effective tillage implements including comparison of machinery alternatives within and across various power sources.


Keywords: – Non-contiguous pool farms, Small farms mechanization impediments, Field machinery cost models, Minimum-cost tillage machinery selection




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