Acta Scientific Agriculture (ASAG)(ISSN: 2581-365X)

Research Article Volume 6 Issue 4

Regional Trends and Patterns of Crop Diversification in Uttar Pradesh (India)

Sanjeev Kumar

Department of Economics, Ch. Charan Singh University, Meerut, Uttar Pradesh, India

*Corresponding Author:Sanjeev Kumar, Department of Economics, Ch. Charan Singh University, Meerut, Uttar Pradesh, India.

Received: March 03, 2022; Published: March 18, 2022


The present paper analyses the emerging trends and patterns of crop diversification in Uttar Pradesh (INDIA) at regional level from 2000 - 01 to 2019 - 20 and also identify the crop diversification gap among the regions viz., Western Uttar Pradesh, Eastern Uttar Pradesh, Central Uttar Pradesh and Bundelkhand. The Simpson index of crop diversification (CDI) has been used to estimate level of crop diversification at regional level. The results reveal that cropping pattern at the regional level of the state is viewed as a shift in production portfolio away from staple cereals towards high-value food commodities, but the transformation is not found evenly distributed across the regions. The regional level result has indicated that Western Uttar Pradesh has recorded highest crop diversification followed by Central Uttar Pradesh, Bundelkhand and Eastern Uttar Pradesh in that order during the study period. Therefore, the study has suggested that policy support in terms of enhanced rural infrastructure and an appropriate technology need to be extended to the farming society of the Statelike Uttar Pradesh. Moreover, the use of technological inventions by public--private participation in the cultivation methods of various crops needs to be encouraged for crop diversification and enhancing farmer’s income.

Keywords: Crop Diversification; Growth; Regional Trends; Rural Infrastructure; Uttar Pradesh


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Citation: Sanjeev Kumar. “Regional Trends and Patterns of Crop Diversification in Uttar Pradesh (India)”. Acta Scientific Agriculture 6.4 (2022): 28-35.


Copyright: © 2022 Sanjeev Kumar. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


Acceptance rate32%
Acceptance to publication20-30 days
Impact Factor1.014

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