Sorghum segmentation and leaf counting using in silico trained deep neural model
Abstract This paper introduces a novel deep neural model for segmenting and tracking the number of leaves in sorghum plants in phenotyping facilities. Our algorithm inputs a sequence of images of a sorghum plant and outputs the segmented images and the number of leaves. The key novelty of our approa...
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Main Authors: | Ian Ostermann, Bedrich Benes, Mathieu Gaillard, Bosheng Li, Jensina Davis, Ryleigh Grove, Nikee Shrestha, Michael C. Tross, James C. Schnable |
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Format: | Article |
Language: | English |
Published: |
Wiley
2024-12-01
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Series: | Plant Phenome Journal |
Online Access: | https://doi.org/10.1002/ppj2.70002 |
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