Siddhant Ranjan Padhi

About

Dedicated researcher familiar with area of expertise protocols with experience in management of plant genetic resources, nutritional quality evaluation of different crops and NIRS prediction modelling for screening of huge and diverse germplasm resources and mining trait-specific germplasm. Well-coordinated in handling study, documentation and research. Ready to bring advanced knowledge and skills to enhance research accuracy and precision of facility.

Employment

• NBPGR Scientist
  2025 - Present

Education

• Indian Agricultural Research Institute P.hD.
  2020 - 2023
• Indian Agricultural Research Institute M.Sc. (Ag)
  2018 - 2020
• Chaudhary Charan Singh Haryana Agricultural University B.Sc. (Hons)
  2014 - 2018

Projects & Funding

Projects & funding information is unavailable.

Publications (16)

• A novel and computationally efficient chunk-wise fully connected deep learning model for non-destructive protein prediction using NIR spectroscopy
  Smart Agricultural Technology 2026 DOI: 10.1016/j.atech.2026.102025
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• Exploring the biochemical potential of bambara bean (Vigna subterranean (L.) Verdc) from chad, Niger and Tanzania: A multivariate approach
  Applied Food Research 2026 DOI: 10.1016/j.afres.2026.101968
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• Protein informatics: Development and validation of a universal NIR spectroscopy-based deep learning and chemometric models for protein quantification in legume crops—A high-throughput approach for large germplasm screening
  Future Foods 2026 DOI: 10.1016/j.fufo.2026.100909
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• NIRCoreVision: A novel deep learning-based framework with GUI integration for core set selection from NIRS data using 1D CNN and k-means clustering
  Journal of Agriculture and Food Research 2025 DOI: 10.1016/j.jafr.2025.102390
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• Nutritional profiling of horse gram through NIRS-based multi-trait prediction modelling
  Scientific Reports 2025 DOI: 10.1038/s41598-025-01668-x
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• A Comparison of Spectral Preprocessing Methods and Their Effects on Nutritional Traits in Cowpea Germplasm
  Legume Science 2024 DOI: 10.1002/leg3.229
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• Development and Validation of Near-Infrared Reflectance Spectroscopy Prediction Modeling for the Rapid Estimation of Biochemical Traits in Potato
  Foods 2024 DOI: 10.3390/foods13111655
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• NIRS-based prediction modeling for nutritional traits in Perilla germplasm from NEH Region of India: comparative chemometric analysis using mPLS and deep learning
  Journal of Food Measurement and Characterization 2024 DOI: 10.1007/s11694-024-02856-5
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• Nutritional Potential of Adzuki Bean Germplasm and Mining Nutri-Dense Accessions through Multivariate Analysis
  Foods 2023 DOI: 10.3390/foods12224159
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• Unveiling Diversity for Quality Traits in the Indian Landraces of Horsegram [Macrotyloma uniflorum (Lam.) Verdc.]
  Plants 2023 DOI: 10.3390/plants12223803
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