Editorial: Autonomous weed control for crop plants
2024
Autonomous Weed Control for Crop Plants
Sample size: 40
Editorial
Author Information
Author(s): Su Wen-Hao
Primary Institution: China Agricultural University
Conclusion
Recent advancements in weed control technologies are paving the way for more sustainable and efficient agricultural practices.
Supporting Evidence
- Laser technology was found to be most effective on young weeds, providing a non-chemical alternative to herbicides.
- A real-time smart sensing system achieved 95.19% accuracy in identifying and locating vegetable plants.
- An intelligent spraying system optimized herbicide application, enhancing crop safety and reducing environmental impact.
- A fine-grained weed recognition method demonstrated superior performance compared to existing CNN-based architectures.
- A comprehensive review identified strengths and limitations of current weeding technologies, emphasizing the need for collaboration.
- Local path planning for orchard mowers showed significant improvements in path smoothness and computational efficiency.
- Semi-supervised learning frameworks for weed detection improved accuracy and reduced the need for manual labeling.
Takeaway
This study talks about new ways to control weeds in farming without using chemicals, making it better for the environment and crops.
Digital Object Identifier (DOI)
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