IVG-UAV: An Intelligent Voice-Guided UAV System for Autonomous Ripe Fruit Harvesting with Vision-Based Classification and Adaptive Path Planning

Key points

• In tropical regions, their agricultural sectors remain highly dependent on manual labor for fruit harvesting.1
• On large-scale farms, this dependency often results in significant labor cost and logistic complexities.1
• The proposed system integrates speech recognition using Whisper [1] and LLM, computer vision-based ripeness classification, and adaptive path planning within a unified framework.1
• The entire system is modeled and validated in a Gazebo simulation environment, allowing performance evaluation under controlled agricultural scenarios1

Sources (1)

• [1]IVG-UAV: An Intelligent Voice-Guided UAV System for Autonomous Ripe Fruit Harvesting with Vision-Based Classification and Adaptive Path Planning
  arXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 7, 03:59 AM

  This project presents the development and simulation of a voice-controlled Unmanned Aerial Vehicle (UAV) system designed to automate harvesting tasks in extensive plantations.

  In tropical regions, their agricultural sectors remain highly dependent on manual labor for fruit harvesting.

Extractive summary: sentences quoted from the sources.