Explaining grain quality trait importance and classification of traditional rice cultivars of Assam, India using SHAP-enhanced Random Forest, XGBoost, and Support Vector Machine models

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Authors: RUPAM BORGOHAIN, G. P. Goswami, JUTIKA DAS, Suryakant Khandai, NEERAJ K. TYAGI, NEHA CHAKRABARTY
Cited by: 1
References: 21

Fields of Study & Subjects

Spectroscopy and Chemometric Analyses GABA and Rice Research Rice Cultivation and Yield Improvement

Publication details

Journal / source
Journal of Cereal Science
Publisher
Elsevier BV
Volume
129
Pages
104457–104457
Publication date
24 April 2026
Language
EN