Applications of Mathematics in Plant Agro-Physiology and Its Impact on Modern Agriculture

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Authors: Muhaddiseh Ruzpakar
Cited by: 0

Abstract

Objective: This study aims to explore the various applications of mathematics in plant agro-physiology and to assess their impact on modern agriculture. By examining the role of mathematical modeling and analysis in understanding plant growth, development, and responses to environmental factors, this research highlights the importance of mathematics in optimizing agricultural practices and increasing crop yields. Methods: This study employs a literature review approach to analyze the current state of research on the applications of mathematics in plant agro-physiology. By synthesizing information from a wide range of sources, including scientific journals, books, and conference proceedings, this research provides a comprehensive overview of the ways in which mathematical techniques are being used to enhance our understanding of plant biology and improve agricultural productivity. Results: This study highlights the essential role of mathematics in plant agro-physiology, emphasizing its utility in modeling and analyzing complex biological processes. Mathematical models facilitate simulations of plant growth under varying environmental conditions, predictions of crop yields, and optimization of resource allocation in agriculture. By integrating mathematical methods into research, scientists and farmers can enhance decision-making in crop management, ultimately promoting greater efficiency and sustainability in modern agricultural practices. Conclusions: This research highlights the application of mathematics in plant agro-physiology and agriculture, emphasizing the role of mathematical modeling and analysis in optimizing crop production and resource management. It underscores the importance of interdisciplinary approaches in tackling modern agricultural challenges. The insights gained aim to inform future efforts in developing innovative solutions for food security and sustainability in a rapidly changing world.

Fields of Study & Subjects

Agriculture Soil Plant Science Leaf Properties and Growth Measurement Smart Agriculture and AI

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
16 February 2026