HIGHLIGHTS
- who: Yalin Wu from the Tianjin of Science and Technology, China have published the research work: TMSCNet: A three-stage multi-branch self-correcting trait estimation network for RGB and depth images of lettuce, in the Journal: (JOURNAL)
- what: The other master model used the pseudo color image of depth image conversion as input to estimate H. After the analysis, the authors found that the five lettuce traits were highly correlated with each other, and were affected by the variety of lettuce, so the authors further proposed three auxiliary models. Since the modeling area and . . .
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