Vol. 7, Issue 5 (2019)
Crop productivity index of Madhya Pradesh: An application of principal components analysis
Author(s): Manoj Kumar, RK Sahni, Mukesh Kumar, V Bhushan Babu and HS Pandey
Abstract: The objective of this paper is to construct Crop Productivity Index (CPI) to rank different districts of the Madhya Pradesh, India. The CPI ratings provide a relative ranking based on their potential for crop production. The secondary data on productivity of Rice, Wheat, Gram, Groundnut, Sugarcane and Urd of 51 districts of Madhya Pradesh for the year 2015-16 were taken and analysed. The multidimensional scaling of the productivity of many different crops has been done using Principal Component Analysis (PCA). The ranking and categorization of districts of Madhya Pradesh have been done using constructed composite index namely Crop Productivity Index. It was found that Morena district ranked first followed by Sehore and Chindwara in terms of high productivity and the districts like Sagar, Chhatarpu and Dindori were placed in a group with low productivity of crops under study.
Pages: 2861-2864 | 213 Views 46 Downloads
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How to cite this article:
Manoj Kumar, RK Sahni, Mukesh Kumar, V Bhushan Babu, HS Pandey. Crop productivity index of Madhya Pradesh: An application of principal components analysis. Int J Chem Stud 2019;7(5):2861-2864.
