Editorial: Vision, learning, and robotics: AI for plants in the 2020s
2024
AI for Plants in the 2020s
Editorial
Author Information
Author(s): Yu Zhenghong, Iocchi Luca, Tan Jeffrey Too Chuan, Zhou Huabing, Yang Changcai, Lu Hao
Conclusion
This Research Topic demonstrates how artificial intelligence, machine learning, and robotics can address critical challenges in modern agriculture by enhancing efficiency and sustainability.
Supporting Evidence
- AI and robotics are redefining how plants are studied and agricultural practices are managed.
- Technologies like high-throughput phenotyping and precision agriculture are improving efficiency and accuracy.
- Lightweight AI models are becoming mainstream for on-site deployment in agriculture.
Takeaway
This study shows how technology like AI and robots can help farmers grow food better and more sustainably.
Potential Biases
The authors declared no potential conflicts of interest.
Limitations
Challenges such as data scarcity, high equipment costs, and complexity of model deployment remain.
Digital Object Identifier (DOI)
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