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Racheal John

Germplasm variability-assisted near infrared reflectance spectroscopy chemometrics to develop multi-trait robust prediction models in rice
2022 · Racheal John, Rakesh Bhardwaj, et al. · Frontiers in Nutrition · 47
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Development and optimization of NIRS prediction models for simultaneous multi-trait assessment in diverse cowpea germplasm
2022 · Siddhant Ranjan Padhi, Racheal John, et al. · Frontiers in Nutrition · 39
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Evaluation and Multivariate Analysis of Cowpea [Vigna unguiculata (L.) Walp] Germplasm for Selected Nutrients—Mining for Nutri-Dense Accessions
2022 · Siddhant Ranjan Padhi, Arti Bartwal, et al. · Frontiers in Sustainable Food Systems · 38
From grain to Gain: Bridging conventional methods with chemometric innovations in cereal quality analysis through near-infrared spectroscopy (NIRS)
2025 · Maharishi Tomar, Rakesh Bhardwaj, et al. · Food Control · 23
A Comparison of Spectral Preprocessing Methods and Their Effects on Nutritional Traits in Cowpea Germplasm
2024 · Siddhant Ranjan Padhi, Racheal John, et al. · Legume Science · 21
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NIR spectra processing for developing efficient protein prediction Model in mungbean
2022 · Arti Bartwal, Racheal John, et al. · Journal of Food Composition and Analysis · 21
Mining nutri-dense accessions from rice landraces of Assam, India
2023 · Racheal John, Haritha Bollinedi, et al. · Heliyon · 16
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Rice bean-adzuki bean multitrait near infrared reflectance spectroscopy prediction model: a rapid mining tool for trait-specific germplasm
2023 · Racheal John, Arti Bartwal, et al. · Frontiers in Nutrition · 13
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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
2025 · Naseeb Singh, Simardeep Kaur, et al. · Journal of Agriculture and Food Research · 3
NIR spectroscopy prediction model for capsaicin content estimation in chilli: A rapid mining tool for trait-specific germplasm screening
2024 · Deepika D.D., Vedprakash Sharma, et al. · Journal of Food Composition and Analysis · 3
A novel and computationally efficient chunk-wise fully connected deep learning model for non-destructive protein prediction using NIR spectroscopy
2026 · Naseeb Singh, Simardeep Kaur, et al. · Smart Agricultural Technology · 2
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
2026 · Simardeep Kaur, Siddhant Ranjan Padhi, et al. · Future Foods · 2
Bioremediation of heavy metal polluted environments using biosurfactants
2021 · Racheal John, Sheenam Thatai, et al. · Elsevier eBooks · 2
Milling, Processing, and Storage of Oats
2024 · Racheal John, Rakesh Bhardwaj, et al. · CRC Press eBooks · 1
Comparative Assessment of WINISI and The Unscrambler for Near Infrared Reflectance Spectroscopy (NIRS) Modelling of Phytate and Antioxidants in Brown Rice
2023 · Racheal John, Rakesh Bhardwaj, et al. · Research Square · 1
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Corrigendum: Evaluation and multivariate analysis of cowpea [Vigna unguiculata (L.) walp] germplasm for selected nutrients—mining for nutri-dense accessions
2022 · Siddhant Ranjan Padhi, Arti Bartwal, et al. · Frontiers in Sustainable Food Systems · 1
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Applications of biosurfactants in dentistry
2022 · Racheal John, Deborah Sybil, et al. · Elsevier eBooks · 1
Biochemical Tools for PGR Management
2025 · Antil Jain, Racheal John, et al. · Springer eBooks
Comparative Assessment of WINISI and Unscrambler for NIRS Modelling of Phytate and Antioxidants in Brown Rice
2023 · Racheal John, Rakesh Bhardwaj, et al. · Research Square
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Works count: 21
Citation count: 234
H-index: 8
I10-index: 8
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