A scheduling route planning algorithm based on the dynamic genetic algorithm with ant colony binary iterative optimization for unmanned aerial vehicle spraying in multiple tea fields

HIGHLIGHTS

• who: Yangyang Liu and Fansheng Meng from the Nanjing Agricultural University, China have published the research: A scheduling route planning algorithm based on the dynamic genetic algorithm with ant colony binary iterative optimization for unmanned aerial vehicle spraying in multiple tea fields, in the Journal: (JOURNAL)
• what: To achieve the fast and efficient planning of multi-tea field plant protection routes and to shorten the scheduling range between fields, this study proposes a serial fusion scheduling route planning algorithm that combines the adaptive dynamic genetic algorithm with the ant colony binary iterative algorithm by designing . . .
  

   

  

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