Automatic Quantification of Stomata for High-Throughput Plant Phenotyping
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8527858/8545020/08546196.pdf?arnumber=8546196
Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. New dimension in leaf stomatal behavior analysis: a robust method with machine learning approach;Plant Biotechnology Reports;2024-05-09
2. Application of deep learning for the analysis of stomata: a review of current methods and future directions;Journal of Experimental Botany;2024-05-08
3. An Enhanced Deep-Learning-Based Workflow For Detection of Banana Leaf Stomata From Brightfield Microscopic Images;2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT);2024-05-03
4. StomaAI: an efficient and user‐friendly tool for measurement of stomatal pores and density using deep computer vision;New Phytologist;2023-02-18
5. An automatic plant leaf stoma detection method based on YOLOv5;IET Image Processing;2022-08-29
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