Chaitanya Pallerla Data-verified

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

Last publication 2026 Last refreshed 2026-05-16

faculty

2 h-index 15 pubs 17 cited

Biography and Research Information

OverviewAI-generated summary

Chaitanya Pallerla's research focuses on the application of advanced computational techniques, particularly deep learning and neural networks, to address challenges in agricultural processing and food safety. His recent work includes developing and evaluating neural network architectures for classifying chicken meat quality attributes, such as woody breast and hardness, and for instance segmentation of chicken carcasses using cost-effective active laser scanning systems. Pallerla has also investigated synthetic data augmentation strategies to improve the performance of these models. His research extends to food safety monitoring, with work on robotic swabbing and fluorescent sensing for hygiene assessment of food contact surfaces. Additionally, he has explored efficient auto-labeling methods for large-scale poultry datasets and the use of thermal imaging for detecting contaminants in chicken breast. Pallerla collaborates with researchers Siavash Mahmoudi, Philip G. Crandall, Wan Shou, and C.M. Owens at the University of Arkansas at Fayetteville.

Metrics

  • h-index: 2
  • Publications: 15
  • Citations: 17

Selected Publications

  • Assessing the Feasibility of Low-Cost Multispectral Sensing for Woody Breast Severity Classification (2026)
  • Portable electrochemical impedance biosensing with DRT-enabled machine learning for detecting E. coli O157:H7 in poultry meat (2026)
  • Smartphone-enabled Depth-aware Transillumination Imaging for Detection of Chicken Breast Fillet Myopathies in Chicken Fillets (2026)
  • Portable Broadband Dielectric Impedance Immunosensor Based on IDEs for Rapid, Label-Free Whole-Cell E. coli Detection (2026)
  • ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products (2026)
  • ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products (2026)
  • Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation (2025)
    1 citation DOI OpenAlex
  • Automated Detection of Kinky Back in Broiler Chickens Using Optimized Deep Learning Techniques (2025)
  • Evaluation of Robotic Swabbing and Fluorescent Sensing to Monitor the Hygiene of Food Contact Surfaces (2025)
    1 citation DOI OpenAlex
  • Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing (2025)
    2 citations DOI OpenAlex
  • Neural network architecture search enabled wide-deep learning (NAS-WD) for spatially heterogenous property awared chicken woody breast classification and hardness regression (2024)
    10 citations DOI OpenAlex

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Collaboration Network

38 Collaborators 5 Institutions 1 Country

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