AIMC Topic: Plant Stomata

Clear Filters Showing 1 to 7 of 7 articles

StomataScorer: a portable and high-throughput leaf stomata trait scorer combined with deep learning and an improved CV model.

Plant biotechnology journal Nov 12, 2021
To measure stomatal traits automatically and nondestructively, a new method for detecting stomata and extracting stomatal traits was proposed. Two portable microscopes with different resolutions (TipScope with a 40× lens attached to a smartphone and ...
Phenotype Deep Learning Plant Leaves Droughts Plant Stomata
View on PubMed DOI

StomataCounter: a neural network for automatic stomata identification and counting.

The New phytologist Jul 4, 2019
Stomata regulate important physiological processes in plants and are often phenotyped by researchers in diverse fields of plant biology. Currently, there are no user-friendly, fully automated methods to perform the task of identifying and counting st...
Humans Neural Networks, Computer Phylogeny Image Processing, Computer-Assisted Databases as Topic Automation Linear Models Plant Stomata
View on PubMed DOI

Modelling the water-plant cuticular polymer matrix membrane partitioning of diverse chemicals in multiple plant species using the support vector machine-based QSAR approach.

SAR and QSAR in environmental research Jan 18, 2018
In this study, a support vector machine (SVM) based multi-species QSAR (quantitative structure-activity relationship) model was developed for predicting the water-plant cuticular polymer matrix membrane (MX) partition coefficient, K of diverse chemic...
Water Support Vector Machine Models, Molecular Polymers Environmental Pollutants Solanum lycopersicum Quantitative Structure-Activity Relationship Plant Stomata
View on PubMed DOI

Machine learning-enabled computer vision for plant phenotyping: a primer on AI/ML and a case study on stomatal patterning.

Journal of experimental botany Nov 15, 2024
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 data contained within images. Here we review 39 papers that describ...
Artificial Intelligence Machine Learning Phenotype Image Processing, Computer-Assisted Plant Stomata
View on PubMed DOI

Application of deep learning for the analysis of stomata: a review of current methods and future directions.

Journal of experimental botany Nov 15, 2024
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 morphology of the guard cells and corresponding pore that make up the sto...
Deep Learning Plant Stomata
View on PubMed DOI

Deep learning-based high-throughput phenotyping accelerates gene discovery for stomatal traits.

Plant physiology Nov 3, 2021
Neural Networks, Computer Algorithms Phenotype Deep Learning Genome-Wide Association Study Water Zea mays Sorghum Quantitative Trait Loci Droughts Plant Stomata
View on PubMed DOI

Optical topometry and machine learning to rapidly phenotype stomatal patterning traits for maize QTL mapping.

Plant physiology Nov 3, 2021
Stomata are adjustable pores on leaf surfaces that regulate the tradeoff of CO2 uptake with water vapor loss, thus having critical roles in controlling photosynthetic carbon gain and plant water use. The lack of easy, rapid methods for phenotyping ep...
Machine Learning Phenotype Zea mays Quantitative Trait Loci Genes, Plant Chromosome Mapping Botany Plant Stomata
View on PubMed DOI
Popular Topics
Recent Journals