Summary of Agricultural Object Detection with You Look Only Once (yolo) Algorithm: a Bibliometric and Systematic Literature Review, by Chetan M Badgujar et al.
Agricultural Object Detection with You Look Only Once (YOLO) Algorithm: A Bibliometric and Systematic Literature Review
by Chetan M Badgujar, Alwin Poulose, Hao Gan
First submitted to arxiv on: 18 Jan 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI); Robotics (cs.RO)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper explores the application of You Look Only Once (YOLO) in agricultural technologies and tools. YOLO has gained popularity due to its state-of-the-art performance in object detection, offering real-time detection with good accuracy. The study aims to document and critically evaluate the advances and applications of YOLO for agricultural object recognition by conducting a bibliometric review of 257 articles and a systematic review of 30 articles. The research highlights the importance of YOLO’s end-to-end learning approach, including data acquisition, processing, network modification, integration, and deployment. Task-specific YOLO algorithm modifications are also discussed to address specific agricultural challenges. The study concludes that YOLO-integrated digital tools show potential for real-time monitoring, surveillance, and object handling, reducing labor costs and environmental impact. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary YOLO is a powerful tool used in agriculture to detect objects like crops, animals, or equipment. It’s really good at recognizing things quickly and accurately. The researchers wanted to see how well YOLO works in different farming tasks, so they read lots of articles and papers on the topic. They found that YOLO can be used for things like monitoring fields, detecting pests, and automating farm work. This could help farmers work more efficiently and reduce waste. The study shows that YOLO is a useful tool for making agriculture more efficient and sustainable. |
Keywords
» Artificial intelligence » Object detection » Yolo
