Investigation of agricultural mechanization status in corn production of Iran

Authors

  • Morteza Zangeneh MSc student of Tehran University
  • Narges Banaeian PhD Student, Department of Agricultural Machinery Engineering, Faculty of Agricultural Engineering and Technology, School of Agriculture & Natural Resources, University of Tehran, Karaj: Iran.

Keywords:

yield, regression model, mechanization.

Abstract

For determination and assessing the effect of agricultural mechanization in irrigated corn of Iran, two indicators have been used: cultivated area (ha) and yield (kg/ha).  Several regression models have been built, using Mechanization Level (ML) and Mechanization Ownership (MO) of all agricultural operations, as input, and cultivated area and yield as output, separately.  The survey was carried out by means of data obtained from Agricultural Ministry of Iran in the period of 2001-2008.  The results revealed that mechanization ownership of planting and harvesting have a significant effect on cultivated area of corn in Iran with 95% and 99% confidence, respectively.  Based on obtained results, agricultural mechanization has an important role in improvement of corn production in Iran.  Levels of mechanization in each agricultural operation have different effects on yield improvement.  Policy makers can consider important factors between mechanization inputs to improve the corn production of Iran.

 

Keywords: yield, regression model, mechanization

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Published

2014-03-28

Issue

Vol. 16 No. 1 (2014): CIGR Journal

Section

V-Management, Ergonomics and Systems Engineering