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This study presents a nondestructive measurement system for assessing chlorophyll content in greenhouse tomato plants using a multispectral, three-dimensional imaging approach. The system integrates a Kinect sensor and a hyperspectral imager to create a 3D point cloud model, improving measurement accuracy compared to traditional 2D methods. The results indicate that this method can enhance high-throughput plant phenotypic analysis and support better cultivation management practices.

Author

2500742370

Language

EN