Shubham Subrot Panigrahi
Post-doctoral Research Associate
postdoc
Food Science
Research Areas
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Biography and Research Information
OverviewAI-generated summary
Shubham Subrot Panigrahi's research focuses on the intersection of circular bioeconomy principles and food safety engineering, employing multiphysics and data-driven modeling approaches. His work at the University of Arkansas, within the Department of Food Science, investigates methods to enhance food safety and sustainability.
Previously, Panigrahi contributed to agricultural research at Agriculture and Agri-Food Canada (AAFC), where he applied remote sensing technologies, including LiDAR, RGB, hyperspectral, and multispectral imaging, for high-throughput crop phenotyping. He also held a postdoctoral position at Lethbridge Polytechnic, leading industry projects focused on developing automated and energy-efficient crop storage solutions. This involved close collaboration with agricultural stakeholders to design scalable systems for grain monitoring, IoT integration, and quality control.
His doctoral research at the University of South Australia involved computational modeling, specifically Computational Fluid Dynamics (CFD) and Finite Element Method (FEM), to optimize aeration strategies in stored grain facilities. Panigrahi's scholarly output includes 40 publications and he has accumulated 618 citations, with an h-index of 10. His recent work has explored computational fluid dynamics for modeling grain silos, assessing the sustainability of grain drying systems, and investigating microwave-assisted processing for paddy.
Metrics
- h-index: 11
- Publications: 40
- Citations: 648
Selected Publications
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An integrated UAV-based spectral-index fusion framework using machine learning classifiers to model physiological maturity in dry bean (2026)
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Forecasting Spring Wheat Maturity from UAV-Based Multispectral Imagery Using Machine and Deep Learning Models (2026)
Collaboration Network
Top Collaborators
- Strategies to mitigate dead-zones in on-farm stored grain silos fitted with aeration ducting modelled using computational fluid dynamics
- On-farm grain drying system sustainability: Current energy and carbon footprint assessment with potential reform measures
- A 3D transient CFD model to predict heat and moisture transfer in on-farm stored grain silo through parallel computing using compiler directives: Impact of discretization methods on solution efficacy
- Evaluating isotherms and isosteric heat utilization during sorption characteristics of feed barley
- Dimensionless modeling of fine material distribution in an experimental silo during central spout loading
Showing 5 of 17 shared publications
- Robotics for general material handling machines in food plants
- Microwave-assisted parboiling of high moisture paddy: A comparative study based on energy utilization, process economy and grain quality with conventional parboiling
- Microwave-Assisted Hydration of Freshly Harvested Paddy (Oryza sativa L.): Process Development Based on Soaking Characterization and Energy Utilization
- Next‐Generation Food Drying: Specialized and Smart Approaches to Boost Efficiency and Quality
- Contributors
- <scp>Fluidization‐bed</scp> drying and microwave radiation effects on drying rate, fatty acid, protein, and germination of flaxseed
- Photovoltaic-thermal hybrid solar drying of Chamomilla nobile flowers
- Influence of rewetting method on soybean behaviour during fluidized bed drying, experimental and simulation study
- RETRACTED: Experimental Study of Soybean Drying in a Fluidized Bed Dryer and Simulation of Heat and Mass Transfer Processes using Luikov Model
- Energy and moisture source-term based distributive (luikov) parameter model to simulate rapeseed hot-air drying
- Robotics for general material handling machines in food plants
- Microwave-assisted parboiling of high moisture paddy: A comparative study based on energy utilization, process economy and grain quality with conventional parboiling
- Microwave-Assisted Hydration of Freshly Harvested Paddy (Oryza sativa L.): Process Development Based on Soaking Characterization and Energy Utilization
- Next‐Generation Food Drying: Specialized and Smart Approaches to Boost Efficiency and Quality
- Strategies to mitigate dead-zones in on-farm stored grain silos fitted with aeration ducting modelled using computational fluid dynamics
- A 3D transient CFD model to predict heat and moisture transfer in on-farm stored grain silo through parallel computing using compiler directives: Impact of discretization methods on solution efficacy
- Evaluating isotherms and isosteric heat utilization during sorption characteristics of feed barley
- UAV-Based LiDAR and Multispectral Imaging for Estimating Dry Bean Plant Height, Lodging and Seed Yield
- Forecasting Spring Wheat Maturity from UAV-Based Multispectral Imagery Using Machine and Deep Learning Models
- An integrated UAV-based spectral-index fusion framework using machine learning classifiers to model physiological maturity in dry bean
- Microwave-assisted parboiling of high moisture paddy: A comparative study based on energy utilization, process economy and grain quality with conventional parboiling
- Microwave-Assisted Hydration of Freshly Harvested Paddy (Oryza sativa L.): Process Development Based on Soaking Characterization and Energy Utilization
- Robotics for general material handling machines in food plants
- Next‐Generation Food Drying: Specialized and Smart Approaches to Boost Efficiency and Quality
- Influence of rewetting method on soybean behaviour during fluidized bed drying, experimental and simulation study
- RETRACTED: Experimental Study of Soybean Drying in a Fluidized Bed Dryer and Simulation of Heat and Mass Transfer Processes using Luikov Model
- Comparative Analysis of Farm-Scale In-Bin Low-Temperature and High-Temperature Drying in Alberta, Canada: Fossil Fuels, Specific Energy, Carbon Costs and Policy Implications
- Analysis of in-bin low-temperature and high-temperature grain drying in Alberta: Specific energy, carbon costs and policy implications
- UAV-Based LiDAR and Multispectral Imaging for Estimating Dry Bean Plant Height, Lodging and Seed Yield
- An integrated UAV-based spectral-index fusion framework using machine learning classifiers to model physiological maturity in dry bean
- UAV-Based LiDAR and Multispectral Imaging for Estimating Dry Bean Plant Height, Lodging and Seed Yield
- An integrated UAV-based spectral-index fusion framework using machine learning classifiers to model physiological maturity in dry bean
- UAV-Based LiDAR and Multispectral Imaging for Estimating Dry Bean Plant Height, Lodging and Seed Yield
- An integrated UAV-based spectral-index fusion framework using machine learning classifiers to model physiological maturity in dry bean
- UAV-Based LiDAR and Multispectral Imaging for Estimating Dry Bean Plant Height, Lodging and Seed Yield
- Forecasting Spring Wheat Maturity from UAV-Based Multispectral Imagery Using Machine and Deep Learning Models
- Co-rotating extrusion cooking impact on product characteristics using hulled kodo millet and hybrid maize flour
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