This repository introduces a novel application of autonomous drone technology combined with advanced machine learning algorithms for optimizing the harvesting process of palmyra tree fruits. By integrating YOLOv8 object detection with a specialized cutting mechanism, the system efficiently identifies and removes ripe fruit clusters from the tree branches.
- Utilizes YOLOv8 object detection for identifying ripe fruit clusters
- Implements a specialized cutting mechanism for efficient harvesting
- Reduces time and labor requirements in the harvesting process
- Field evaluations demonstrate notable improvements in harvesting efficiency
- Presents a scalable solution for enhancing productivity in palmyra plantations
- Contributes to the advancement of agricultural automation technologies
- Clone the repository:
git clone https://github.com/NotRay-67/PalmyraHarvestAutomation.git - Install dependencies:
pip install -r requirements.txt - Run the application:
python app.py
We welcome contributions from the community! Whether you're interested in improving the model, enhancing the user interface, or adding new features, your input is valuable.
This project is licensed under the MIT License