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A recent study conducted at the University of Bonn in Germany has developed a robotic platform equipped with laser and camera sensors for efficient and sustainable crop production. The platform creates digital twins of plants through 3D reconstruction, allowing for the estimation of phenotypic traits such as leaf area, leaf angle, and plant height. The system was successfully validated on sugar beet, soybean, and maize crops in a real field. This research has been peer-reviewed and provides valuable insights into the use of emerging technologies and machine learning in sustainable food and agriculture. [Extracted from the article]

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