Research on the Sustainable Benefits of Organic Agricultural Methods Based on the LV Seasonal Toxin Accumulation Ecosystem Model Driven by Chaotic Diffusion

Jinze Fu,Xuanjing Li,Zhen Yang,Zhe Ren,Y. Miao,Yu Huang

Published 2025 in Proceedings of the 2025 International Conference on Smart Agriculture and Artificial Intelligence

ABSTRACT

Global population growth and economic demands have led to a significant acceleration in deforestation for agricultural expansion. Meanwhile, chemical - dependent farming has further aggravated ecological instability, biodiversity loss, and soil degradation.To tackle these issues, this study incorporated chaotic diffusion into the Lotka - Volterra model [1]. The model [2] was enhanced by Fick's second law and Holling's Type II [3] response to simulate trophic interactions. Additionally, sub - models were developed to quantify habitat suitability, toxin accumulation, and ecosystem connectivity. Seasonal pesticide decay dynamics and the effects of species reintroduction (bees, pheasants, bats) [4] were analyzed. At the same time, organic farming practices such as green manure rotation and intercropping were optimized.The research results showed that agrochemicals [5] caused a 23% decline in species over 50 years. In addition, they reduced soil microbial activity [6] by 15% and decreased crop energy efficiency by 9% within four years. On the contrary, discontinuing the use of chemicals enabled the soil activity to recover to 78% of the forest level in 40 - 50 years. Reintroducing keystone species increased the spatial overlap by 40% and enhanced the ecosystem stability by 32%. Policy interventions, including subsidies, farmer training, and agroecological incentives, are crucial for promoting these practices globally. They provide a replicable framework to balance food security and planetary resilience. [7] [8]

PUBLICATION RECORD

  • Publication year

    2025

  • Venue

    Proceedings of the 2025 International Conference on Smart Agriculture and Artificial Intelligence

  • Publication date

    2025-06-13

  • Fields of study

    Not labeled

  • Identifiers
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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