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This study addresses soil and leaf quality scanning challenges using detection drones in crop fields, focusing on limited drone battery life and inefficient route planning. It aims to devise an integrated solution by leveraging Geographic Information System (GIS) technology with the Traveling Salesman Problem (TSP) algorithm. GIS provides spatial data access and enables complex analyses, while the TSP algorithm optimizes drone route planning. This combined approach optimizes battery usage, reduces operational costs, and enhances mapping capabilities for accurate land management decisions. Moreover, GIS facilitates visual route planning, enhancing decision-making processes based on real-time data and environmental conditions. The integration of GIS and the TSP algorithm streamlines workflows, improves efficiency, and enhances data accuracy in agricultural monitoring, contributing to better resource utilization, cost reduction, and productivity in agricultural practices.

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Enhancing Agricultural Efficiency with GIS and TSP-Optimized Drone Pathways

  • 会议论文

  • 发表日期：

    2025年

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  • Antonio Passaka Adi Wijaya,
  • Rayinda Pramuditya Soesanto,
  • Fandi Achmad

摘要

This study addresses soil and leaf quality scanning challenges using detection drones in crop fields, focusing on limited drone battery life and inefficient route planning. It aims to devise an integrated solution by leveraging Geographic Information System (GIS) technology with the Traveling Salesman Problem (TSP) algorithm. GIS provides spatial data access and enables complex analyses, while the TSP algorithm optimizes drone route planning. This combined approach optimizes battery usage, reduces operational costs, and enhances mapping capabilities for accurate land management decisions. Moreover, GIS facilitates visual route planning, enhancing decision-making processes based on real-time data and environmental conditions. The integration of GIS and the TSP algorithm streamlines workflows, improves efficiency, and enhances data accuracy in agricultural monitoring, contributing to better resource utilization, cost reduction, and productivity in agricultural practices.