DOI: 10.36347/SJPMS.2019.v06i11.004

Pages: 189-194

The contribution rate of agricultural machinery and equipment reflects the quantitative relationship between agricultural equipment and grain production. Determination of main factors affecting grain production by grey correlation degree algorithm. Production function relationship of grain production process based on Cobb Douglas production function. A model was established for calculating the contribution rate of agricultural machinery to grain production. According to the statistical data of 1995-2012 in reclamation area, the contribution rate of agricultural machinery equipment, grain sown area and fertilizer application amount to grain yield is 27.76%, 17.5% and 56.64% respectively. The growth of grain yield in reclamation area has a strong dependence on the grain sown area, agricultural machinery and fertilizer application, and is less dependent on the input of agricultural labor. It shows that the proposed contribution rate measurement model has certain accuracy.