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Article

Ensemble and optimization algorithm in support vector machines for classification of wheat genotypes.

Scientific reports - 30 Sept 2024

Khan Mujahid, Hooda B K, Gaur Arpit, Singh Vikram, Jindal Yogesh, Tanwar Hemender, Sharma Sushma, Sheoran Sonia, Vishwakarma Dinesh Kumar, Khalid Mohammad, Albakri Ghadah Shukri, Alreshidi Maha Awjan, Choi Jeong Ryeol, Yadav Krishna Kumar

Abstract excerpt

This study aimed to classifying wheat genotypes using support vector machines (SVMs) improved with ensemble algorithms and optimization techniques. Utilizing data from 302 wheat genotypes and 14 morphological attributes to evaluate six SVM kernels: linear, radial basis function (RBF), sigmoid, and polynomial degrees 1-3. Various optimization methods, including grid search, random search, genetic algorithms,...

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PMID: 39349934
DOI: 10.1038/s41598-024-72056-0
PMCID: PMC11442772

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