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April 8, 2026Open Access

Mathematical Model For Plant Height Growth And Resource Optimization Under Climate Uncertainty Using Computational Techniques

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Authors

DDr.M.Archana

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Overview

Modeling plant growth and resource allocation in precision agriculture, indicating improved outcomes under climate variability.

Key Points

  • The aim is to develop a mathematical model to optimize plant height growth considering environmental factors and resource limitations.
  • Developed various growth models: linear, exponential, and logistic.
  • Utilized regression analysis to assess the impact of water, fertilizer, and sunlight.
  • Formulated a constrained optimization problem to maximize plant height.
  • Extended the model to include climate uncertainty using stochastic differential equations.
  • Validated the model with ICAR growth-stage data.
  • Optimal resource allocation significantly enhances plant height growth.
  • The inclusion of climate variability through stochastic modeling provides more realistic growth predictions.
  • Graphical analysis supports the effectiveness of the proposed optimization techniques.

Cite This Study

Dr.M.Archana (2026) studied this question.

synapsesocial.com/papers/69d5f0d774eaea4b11a7a3cehttps://doi.org/10.5281/zenodo.19442273
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