Philip G. Crandall Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Professor
faculty
Food Science
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Philip G. Crandall, a Professor in Food Science at the Arkansas Agricultural Experiment Station, focuses his research on food safety and consumer behavior. His work includes investigating methods for detecting and preventing contaminants in food products, with a particular emphasis on microbial safety. Crandall has published reviews on topics such as the detection of viable but non-culturable Listeria monocytogenes, a significant foodborne pathogen, and the identification and mitigation of foreign materials in food manufacturing environments.
Beyond microbial concerns, Crandall's research also explores the sensory aspects of food and how cognitive factors influence food perception and consumption. This includes studies on the impact of flavor enhancers on pet food palatability and an examination of how consumers perceive different forms of rice. He has also investigated the potential of broken rice to address food insecurity. Crandall leads an active research group and has a publication record with an h-index of 39, accumulating over 6,800 citations across 252 publications.
His collaborations are primarily with researchers at the University of Arkansas at Fayetteville, including Corliss A. O’Bryan, Wan Shou, Chaitanya Pallerla, and Siavash Mahmoudi, with whom he shares multiple publications. Crandall is recognized as a highly cited researcher.
Metrics
- h-index: 40
- Publications: 250
- Citations: 6,937
Selected Publications
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Assessing the Feasibility of Low-Cost Multispectral Sensing for Woody Breast Severity Classification (2026)
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ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products (2026)
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Integrating Worker and Food Safety in Poultry Processing Through Human-Robot Collaboration: A Comprehensive Review (2026)
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ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products (2026)
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Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation (2025)
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Rapid Detection of Chicken Residues on Poultry Plant Surfaces Using Color and Fluorescence Spectrometry (2025)
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Variations in attitudes toward working with robots and concerns about robots replacing jobs among Midwesterners (2025)
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Evaluation of Robotic Swabbing and Fluorescent Sensing to Monitor the Hygiene of Food Contact Surfaces (2025)
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UniT: Data Efficient Tactile Representation With Generalization to Unseen Objects (2025)
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Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing (2025)
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Environmental monitoring in food manufacturing: Current perspectives and emerging frontiers (2023)
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Detection and prevention of foreign material in food: A review (2023)
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Consumers' willingness to pay for safer, more environmentally friendly smoke flavored chicken breasts (2023)
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Becoming the employer of choice: anticipating and preparing for a graying workforce in industry (2022)
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Uncooked rice consumption: Causes, implications, regulation, and interventions (2022)
Collaboration Network
Top Collaborators
- Environmental monitoring in food manufacturing: Current perspectives and emerging frontiers
- UniT: Data Efficient Tactile Representation With Generalization to Unseen Objects
- Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing
- UniT: Data Efficient Tactile Representation with Generalization to Unseen Objects
- Cost Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation for Poultry Processing
Showing 5 of 10 shared publications
- Detection and prevention of foreign material in food: A review
- Environmental monitoring in food manufacturing: Current perspectives and emerging frontiers
- US Consumers’ Perceptions of Raw and Cooked Broken Rice
- Becoming the employer of choice: anticipating and preparing for a graying workforce in industry
- Consumers' willingness to pay for safer, more environmentally friendly smoke flavored chicken breasts
Showing 5 of 9 shared publications
- UniT: Data Efficient Tactile Representation With Generalization to Unseen Objects
- Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing
- Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation
- UniT: Data Efficient Tactile Representation with Generalization to Unseen Objects
- Cost Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation for Poultry Processing
Showing 5 of 8 shared publications
- Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing
- Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation
- Cost Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation for Poultry Processing
- Evaluation of Robotic Swabbing and Fluorescent Sensing to Monitor the Hygiene of Food Contact Surfaces
- ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products
Showing 5 of 7 shared publications
- Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing
- Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation
- Cost Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation for Poultry Processing
- Evaluation of Robotic Swabbing and Fluorescent Sensing to Monitor the Hygiene of Food Contact Surfaces
- ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products
Showing 5 of 7 shared publications
- Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing
- Cost Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation for Poultry Processing
- Evaluation of Robotic Swabbing and Fluorescent Sensing to Monitor the Hygiene of Food Contact Surfaces
- ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products
- ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products
- Dry Pet Food Flavor Enhancers and Their Impact on Palatability: A Review
- You Eat How You Think: A Review on the Impact of Cognitive Styles on Food Perception and Behavior
- US Consumers’ Perceptions of Raw and Cooked Broken Rice
- Consumers' willingness to pay for safer, more environmentally friendly smoke flavored chicken breasts
- UniT: Data Efficient Tactile Representation With Generalization to Unseen Objects
- UniT: Data Efficient Tactile Representation with Generalization to Unseen Objects
- ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products
- ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products
- UniT: Data Efficient Tactile Representation With Generalization to Unseen Objects
- Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing
- Cost Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation for Poultry Processing
- ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products
- UniT: Data Efficient Tactile Representation with Generalization to Unseen Objects
- Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation
- ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products
- Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing
- ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products
- ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products
- US Consumers’ Perceptions of Raw and Cooked Broken Rice
- A broken market: can increased access to broken rice decrease food insecurity in Haiti?
- Environmental monitoring in food manufacturing: Current perspectives and emerging frontiers
- Microbial Assessment and Antibiotic Susceptibility of Isolated Pathogens in Retail Chicken
- UniT: Data Efficient Tactile Representation With Generalization to Unseen Objects
- UniT: Data Efficient Tactile Representation with Generalization to Unseen Objects
- UniT: Data Efficient Tactile Representation With Generalization to Unseen Objects
- UniT: Data Efficient Tactile Representation with Generalization to Unseen Objects
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