A new deep-learning-based individual stoma tracking pipeline was proposed. •. The circadian rhythm of stomata opening was first reported from video data.
A new deep-learning-based individual stoma tracking pipeline was proposed. The circadian rhythm of stomata opening was first reported from video data.
Sep 1, 2023 · A new deep-learning-based individual stoma tracking pipeline was proposed. · The circadian rhythm of stomata opening was first reported from ...
Feb 29, 2024 · Here, a deep-learning-based stoma tracking pipeline (StomataTracker) was first proposed to continuously monitor stoma traits from ...
Article "StomataTracker: Revealing circadian rhythms of wheat stomata with in-situ video and deep learning" Detailed information of the J-GLOBAL is an ...
May 8, 2024 · This review discusses the application of deep learning approaches for the assessment of stomata, including variations in the pipeline used, ...
In this study, a stomatal behavior observation system (SBOS) was proposed for real-time observation and automatic analysis of each single stoma in wheat leaf.
Here, a deep-learning-based stoma tracking pipeline (StomataTracker) was first proposed to continuously monitor stoma traits from unprecedentedly long-term, ...
StomataTracker: Revealing circadian rhythms of wheat stomata with in-situ video and deep learning ... Here, a deep-learning-based stoma tracking pipeline ( ...
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Sun, StomataTracker: Revealing circadian rhythms of wheat stomata with in-situ video and deep learning, Comput Electron Agric, № 212, с. 108120 https://doi ...