AIMC Topic: Sorghum

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Identification of sorghum variety using hyperspectral technology with squeeze-and-excitation convolutional neural network algorithms.

Analytical methods : advancing methods and applications May 9, 2025
In this study, hyperspectral technology along with a combination of squeeze-and-excitation convolutional neural networks and competitive adaptive reweighted sampling (CARS-SECNNet) was developed to identify sorghum varieties. In addition, the support...
Neural Networks, Computer Algorithms Convolutional Neural Networks Support Vector Machine Hyperspectral Imaging Sorghum Wavelet Analysis
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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
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Machine learning-enabled phenotyping for GWAS and TWAS of WUE traits in 869 field-grown sorghum accessions.

Plant physiology Nov 3, 2021
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 forage. Mechanistic modeling suggests that reducing stomatal conductance ...
Machine Learning Phenotype Gene Expression Profiling Genome-Wide Association Study Water Sorghum Genetic Techniques Life History Traits
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