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September 30, 2025

Evaluation of Predictive models for tomato production and cultivation area in Himachal Pradesh: A Linear and Non- linear approach

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Authors

SKSukhdeep KaurACAshu ChandelRGRajesh Kumar Gupta

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Overview

Statistical analysis evaluates tomato production trends using linear and non-linear models, indicating potential for accurate future predictions.

Key Points

  • The study shows that the cubic model best fits the area of tomato production, while the quadratic model fits the production data.
  • Analysis indicates an annual growth rate of 4.60% for tomato cultivation area and 5.90% for production during the study period.
  • Statistical models applied from 1995 to 2023 reveal significant instability in tomato cultivation area, with a CDVI value of 5.40.
  • Future predictions based on these models can enhance planning and management strategies for sustainable tomato farming.

Cite This Study

Kaur et al. (2025) studied this question.

synapsesocial.com/papers/68dc261d8a7d58c25ebb294fhttps://doi.org/10.21276/aatccreview.2025.13.03.323
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A Study on the Effectiveness of Linear and Non-Linear Models in Forecasting Area and Production of Potato in Himachal Pradesh2025
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