This study explores the potential of organic farming to enhance agro-ecosystem stability through integrated biological control, pollinator promotion, and long-term sustainability modeling. Using a hybrid logistic-Euler framework combined with an AI-based optimization algorithm, this article analyze the effects of herbicide removal, bat/bee introduction, and farmer adoption barriers over 30-year cycles. Key findings reveal that organic systems achieve 23%-37% higher ecosystem stability indices and demonstrate superior cost-effectiveness compared to conventional agriculture after three decades. Notably, adopting organic farming practices fosters biodiversity, improves soil health via microbial activity and organic matter accumulation, and reduces pesticide residues, thereby increasing crop yields and quality. The introduction of bees directly boosts pollination and yield, while bats indirectly control pests. The model also highlights the critical role of species return and soil fertility recovery in sustaining ecosystem resilience. This research provides actionable insights for policymakers and farmers, emphasizing organic agriculture's dual benefits: ecological restoration and long-term economic viability.
Hu et al. (Sat,) studied this question.