P-ISSN: 2788-9289, E-ISSN: 2788-9297
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2024, Vol. 4, Issue 2, Part C

Evaluating agricultural productivity in Chhatrapati Sambhajinagar District for 2021-2022: A Kendall’s ranking coefficient approach


Author(s): JD Wetal, MV Suryawanshi, CU Bhore and AA Awhad

Abstract: The purpose of this research is to assess the Chhatrapati Sambhajinagar District's agricultural output index for the 2021–2022 season with an emphasis on nine important crops: oilseeds, wheat, jowar, bajra, maize, pulses, sugarcane, cotton, and spices. Assessing regional differences in crop yield, determining the causes of these discrepancies, and offering a thorough examination of the district's agricultural performance are the goals of this study. The Department of Economics and Statistics, the Chhatrapati Sambhajinagar District Handbook, and the district's socioeconomic overview were among the secondary sources of the data. In order to provide a clear comparison of agricultural production across various tehsils, the crops were ranked based on their yield per hectare using the Kendall Ranking Coefficient Index. This approach makes it easier to identify regions with high, moderate, or poor agricultural output by enabling a consistent evaluation. Significant variations in agricultural output were found throughout the district, according to the research. In certain tehsils, the most productive crops were wheat, maize, and oilseeds, while sugarcane and spices were not as prevalent. Notably, low-productivity areas like Phulambri, Sillod, and Gangapur were limited by issues like low soil fertility, insufficient irrigation, and a limited adoption of advanced agricultural practices, whereas high-productivity regions like Paithan and Soegaon demonstrated favorable agricultural conditions.

Pages: 213-219 | Views: 47 | Downloads: 25

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South Asian Journal of Agricultural Sciences
How to cite this article:
JD Wetal, MV Suryawanshi, CU Bhore, AA Awhad. Evaluating agricultural productivity in Chhatrapati Sambhajinagar District for 2021-2022: A Kendall’s ranking coefficient approach. South Asian J Agric Sci 2024;4(2):213-219.
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