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<p>Rapid growing population and increasing consumption of food are placing unprecedented demand for agriculture. Today, more than 1.4&#xa0;billion people in India are becoming a challenge for agricultural land to feed them. The present study outlines how the trend in area, production, and productivity existed in the past and what they will be if continued with similar operations, practices, and climatic conditions. The study assesses the changing trend and pattern of rice crops under the area, production, and productivity over 55 years from 1966 to 2020 in different homogenous meteorological regions (HMRs) of India. In the present study, three statistical trend analysis methods, namely the linear regression model, Mann-Kendall test (M-K test), and Sen’s slope analysis, have been used to analyse the existing trends in the regions. The results show that the area under rice crop has increased in NW, CNE, WC region, and India on a national scale, while it is decreasing in NE and SP regions. The trend line for all the HMRs and India is significant at a 95% confidence level except for the CNE region. In the CNE, WC, and India, the percentage change in production is increasing at a higher rate than the area under rice crops. In the region of NE and SP, the percentage change in production is increasing despite a decreasing trend in the area. Overall, the NE and SP regions showed an exceptional trend compared to other HMRs.</p>

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Spatiotemporal dynamics of rice cultivation in India

  • 期刊论文

  • 发表日期：

    2025年2月17日

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  • Netrananda Sahu,
  • Ravi Kesharwani,
  • Pritiranjan Das,
  • Anil Kumar,
  • Ayush Varun,
  • Atul Saini,
  • Suraj Kumar Mallick,
  • Martand Mani Mishra

摘要

Rapid growing population and increasing consumption of food are placing unprecedented demand for agriculture. Today, more than 1.4 billion people in India are becoming a challenge for agricultural land to feed them. The present study outlines how the trend in area, production, and productivity existed in the past and what they will be if continued with similar operations, practices, and climatic conditions. The study assesses the changing trend and pattern of rice crops under the area, production, and productivity over 55 years from 1966 to 2020 in different homogenous meteorological regions (HMRs) of India. In the present study, three statistical trend analysis methods, namely the linear regression model, Mann-Kendall test (M-K test), and Sen’s slope analysis, have been used to analyse the existing trends in the regions. The results show that the area under rice crop has increased in NW, CNE, WC region, and India on a national scale, while it is decreasing in NE and SP regions. The trend line for all the HMRs and India is significant at a 95% confidence level except for the CNE region. In the CNE, WC, and India, the percentage change in production is increasing at a higher rate than the area under rice crops. In the region of NE and SP, the percentage change in production is increasing despite a decreasing trend in the area. Overall, the NE and SP regions showed an exceptional trend compared to other HMRs.