Field-based robotic leaf angle detection and characterization of maize plants using stereo vision and deep convolutional neural networks
Xiang, L., Gai, J., Bao, Y., Yu, J., Schnable, P. S. S., & Tang, L. (2023, February 27). JOURNAL OF FIELD ROBOTICS.
author keywords: convolutional neural network; field-based plant phenotyping; keypoint detection; leaf angle; stereo vision
TL;DR:
The feasibility of using stereo vision to investigate the distribution of leaf angles in maize under field conditions is demonstrated and the proposed system is an efficient alternative to traditional leaf angle phenotyping and thus could accelerate breeding for improved plant architecture.
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