Application of deep learning for the analysis of stomata: a review of current methods and future directions
Plant physiology and metabolism rely on the function of stomata, structures on the surface of
above-ground organs that facilitate the exchange of gases with the atmosphere. The …
above-ground organs that facilitate the exchange of gases with the atmosphere. The …
Machine learning-enabled computer vision for plant phenoty**: a primer on AI/ML and a case study on stomatal patterning
Artificial intelligence and machine learning (AI/ML) can be used to automatically analyze
large image datasets. One valuable application of this approach is estimation of plant trait …
large image datasets. One valuable application of this approach is estimation of plant trait …
Machine learning-enabled phenoty** for GWAS and TWAS of WUE traits in 869 field-grown sorghum accessions
Sorghum (Sorghum bicolor) is a model C4 crop made experimentally tractable by extensive
genomic and genetic resources. Biomass sorghum is studied as a feedstock for biofuel and …
genomic and genetic resources. Biomass sorghum is studied as a feedstock for biofuel and …
StomaAI: An efficient and user‐friendly tool for measurement of stomatal pores and density using deep computer vision
Using microscopy to investigate stomatal behaviour is common in plant physiology research.
Manual inspection and measurement of stomatal pore features is low throughput, relies …
Manual inspection and measurement of stomatal pore features is low throughput, relies …
Plantorganelle Hunter is an effective deep-learning-based method for plant organelle phenoty** in electron microscopy
Accurate delineation of plant cell organelles from electron microscope images is essential
for understanding subcellular behaviour and function. Here we develop a deep-learning …
for understanding subcellular behaviour and function. Here we develop a deep-learning …
Automated plant species identification from the stomata images using deep neural network: A study of selected mangrove and freshwater swamp forest tree species of …
Stomatal traits of leaves are critical for regulating the exchange of gases between plant
tissues and the atmosphere, and thus play a crucial role in the physiological activities of …
tissues and the atmosphere, and thus play a crucial role in the physiological activities of …
StomataScorer: a portable and high‐throughput leaf stomata trait scorer combined with deep learning and an improved CV model
X Liang, X Xu, Z Wang, L He, K Zhang… - Plant biotechnology …, 2022 - Wiley Online Library
To measure stomatal traits automatically and nondestructively, a new method for detecting
stomata and extracting stomatal traits was proposed. Two portable microscopes with …
stomata and extracting stomatal traits was proposed. Two portable microscopes with …
Optical topometry and machine learning to rapidly phenotype stomatal patterning traits for maize QTL map**
J ** with extremes: Responses of Quercus robur L. and Fagus sylvatica L. to soil drought and elevated vapour pressure deficit
M Niemczyk, P Wrzesiński, I Szyp-Borowska… - Science of The Total …, 2024 - Elsevier
Climate change, particularly droughts and heat waves, significantly impacts global
photosynthesis and forest ecosystem sustainability. To understand how trees respond to and …
photosynthesis and forest ecosystem sustainability. To understand how trees respond to and …
Classical phenoty** and deep learning concur on genetic control of stomatal density and area in sorghum
Stomatal density (SD) and stomatal complex area (SCA) are important traits that regulate
gas exchange and abiotic stress response in plants. Despite sorghum (Sorghum bicolor) …
gas exchange and abiotic stress response in plants. Despite sorghum (Sorghum bicolor) …