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All Outputs (8)

Application of deep learning for the analysis of stomata: A review of current methods and future directions (2024)
Journal Article

Plant physiology and metabolism relies on the function of stomata, structures on the surface of above ground organs, which facilitate the exchange of gases with the atmosphere. The morphology of the guard cells and corresponding pore which make up th... Read More about Application of deep learning for the analysis of stomata: A review of current methods and future directions.

Recovering Wind-induced Plant motion in Dense Field Environments via Deep Learning and Multiple Object Tracking (2019)
Journal Article

Understanding the relationships between local environmental conditions and plant structure and function is critical for both fundamental science and for improving the performance of crops in field settings. Wind-induced plant motion is important in m... Read More about Recovering Wind-induced Plant motion in Dense Field Environments via Deep Learning and Multiple Object Tracking.

A canopy conundrum: can wind-induced movement help to increase crop productivity by relieving photosynthetic limitations? (2019)
Journal Article

Wind-induced movement is a ubiquitous occurrence for all plants grown in natural or agricultural settings and in the context of high, damaging wind speeds it has been well studied. However, the impact of lower wind speeds (that do not cause any damag... Read More about A canopy conundrum: can wind-induced movement help to increase crop productivity by relieving photosynthetic limitations?.