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<p>Efficient logistics play a crucial role in agricultural commerce, ensuring timely deliveries and fair profit distribution across the supply chain. However, existing logistics systems frequently face persistent issues such as inefficient route planning, high transportation costs, and limited market access for small-scale farmers. These challenges result in higher waste, lower earnings, and logistical bottlenecks that diminish the overall effectiveness of the agricultural supply chain. This study introduces an innovative algorithmic framework that combines clustering and heuristic-based routing algorithms to enhance delivery route efficiency amidst fluctuating produce prices. The approach starts by clustering farmers according to their geographic proximity and crop compatibility to maximize the collective utilization of farm produce. The model gives priority to small-scale farmers within delivery clusters, enhancing their market access and economic resilience. The proposed system not only boosts the scalability and responsiveness of agricultural supply chains but also diminishes disparities by encouraging increased participation from marginalized farming communities.</p>

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Efficient Supply Chains in Agriculture Through Cluster-Based Route Optimization

  • 期刊论文

  • 发表日期：

    2026年1月5日

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  • Bhavik Bharambe,
  • Nishant Patil,
  • Naman Kothari,
  • Sandip Shingade,
  • Sushila Shingade

摘要

Efficient logistics play a crucial role in agricultural commerce, ensuring timely deliveries and fair profit distribution across the supply chain. However, existing logistics systems frequently face persistent issues such as inefficient route planning, high transportation costs, and limited market access for small-scale farmers. These challenges result in higher waste, lower earnings, and logistical bottlenecks that diminish the overall effectiveness of the agricultural supply chain. This study introduces an innovative algorithmic framework that combines clustering and heuristic-based routing algorithms to enhance delivery route efficiency amidst fluctuating produce prices. The approach starts by clustering farmers according to their geographic proximity and crop compatibility to maximize the collective utilization of farm produce. The model gives priority to small-scale farmers within delivery clusters, enhancing their market access and economic resilience. The proposed system not only boosts the scalability and responsiveness of agricultural supply chains but also diminishes disparities by encouraging increased participation from marginalized farming communities.