The adoption of agriculture drones has revolutionized modern farming practices, offering significant benefits in precision agriculture, crop monitoring, and resource management. However, the selection of drones must consider not only technical performance but also their environmental, social, and economic impacts to ensure sustainability. This research proposes a comprehensive framework for selecting agriculture drones based on sustainability criteria using Multi-Criteria Decision-Making (MCDM) methods. Key sustainability factors, including energy efficiency, carbon footprint, recyclability, ease of use, safety, job creation, initial cost, operational cost, and return on investment (ROI), are evaluated. The study applies the VIKOR method to rank drones, balancing group utility and individual regret. A case study involving four agriculture drones is conducted to demonstrate the framework's applicability. The research highlights the importance of integrating sustainability criteria into drone selection and provides actionable insights for farmers, agricultural businesses, and policymakers. By promoting environmentally friendly, socially responsible, and economically viable drone adoption, this study contributes to the broader goal of sustainable agriculture.

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Sustainable Agriculture Drone Selection: A Multi-Criteria Decision-Making Approach Using VIKOR Method

  • Ashish Yadav,
  • M. K. P. Naik,
  • Teena Singh

摘要

The adoption of agriculture drones has revolutionized modern farming practices, offering significant benefits in precision agriculture, crop monitoring, and resource management. However, the selection of drones must consider not only technical performance but also their environmental, social, and economic impacts to ensure sustainability. This research proposes a comprehensive framework for selecting agriculture drones based on sustainability criteria using Multi-Criteria Decision-Making (MCDM) methods. Key sustainability factors, including energy efficiency, carbon footprint, recyclability, ease of use, safety, job creation, initial cost, operational cost, and return on investment (ROI), are evaluated. The study applies the VIKOR method to rank drones, balancing group utility and individual regret. A case study involving four agriculture drones is conducted to demonstrate the framework's applicability. The research highlights the importance of integrating sustainability criteria into drone selection and provides actionable insights for farmers, agricultural businesses, and policymakers. By promoting environmentally friendly, socially responsible, and economically viable drone adoption, this study contributes to the broader goal of sustainable agriculture.