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Tami Brown-Brandl

University of Nebraska-Lincoln

1400 R Street

Lincoln, NE 68588

United States

  • University of Nebraska-Lincoln

SCHOLARLY PAPERS

6

DOWNLOADS

292

TOTAL CITATIONS

2

Scholarly Papers (6)

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1.

Robust Piglet Nursing Behavior Monitoring Through Multi-Modal Fusion of Computer Vision and Ambient Floor Vibration

Number of pages: 24 Posted: 15 Oct 2024
Yiwen Dong, Zihao Song, Jesse Codling, Gary Rohrer, Jeremy Miles, Raj Sharma, Tami Brown-Brandl, Pei Zhang and Hae Young Noh
Stanford University, Stanford University, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Nebraska-Lincoln, University of Nebraska-Lincoln, affiliation not provided to SSRN and Stanford University
Downloads 116 (613,149)

Abstract:

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Precision Livestock Farming, nursing, swine, vibration, Computer vision

2.

Evaluation of Time-of-Flight Depth Cameras for Indoor Applications

Downloads 70 (875,328)

Evaluation of Time-of-Flight Depth Cameras for Indoor Applications

Number of pages: 56 Posted: 17 Sep 2024
Verônica Madeira Pacheco, Tami Brown-Brandl, Raj Sharma, Kuljit Bhatti, Rafael Vieira de Sousa and Luciane Silva Martello
University of Nebraska-Lincoln, University of Nebraska-Lincoln, University of Nebraska-Lincoln, University of Nebraska-Lincoln, University of São Paulo (USP) and University of São Paulo (USP)
Downloads 40 (1,210,354)

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Depth images, Image analysis, Precision Animal Management, Precision Livestock Farming.

Evaluation of Time-of-Flight Depth Cameras for Indoor Applications

Number of pages: 55 Posted: 11 Jun 2024
Verônica Madeira Pacheco, Tami Brown-Brandl, Raj Sharma, Kuljit Bhatti, Rafael Vieira de Sousa and Luciane Silva Martello
University of Nebraska-Lincoln, University of Nebraska-Lincoln, University of Nebraska-Lincoln, University of Nebraska-Lincoln, University of São Paulo (USP) and University of São Paulo (USP)
Downloads 30 (1,356,108)

Abstract:

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Depth images, image analysis, Precision Animal Management, Precision Livestock Farming

3.

Deep Learning-Based Sow Posture Classifier Using Colour and Depth Images

Number of pages: 19 Posted: 10 Aug 2024
Tami Brown-Brandl, Rafael Vieira de Sousa, Raj Sharma, Luciane Silva Martello, Verônica Madeira Pacheco and Gary Rohrer
University of Nebraska-Lincoln, University of São Paulo (USP), University of Nebraska-Lincoln, University of São Paulo (USP), University of Nebraska-Lincoln and USDA-ARS
Downloads 37 (1,222,651)
Citation 2

Abstract:

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computer vision, multisource image, precision livestock farming, sow posture detection.

4.

Identifying Individual Grow-Finish Pigs Using Point Cloud Data

Number of pages: 26 Posted: 23 Jul 2025
Tami Brown-Brandl, Shiva Paudel, Gary Rohrer and Raj Sharma
University of Nebraska-Lincoln, affiliation not provided to SSRN, USDA-ARS and University of Nebraska-Lincoln
Downloads 29 (1,332,057)

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Swine Identification, 3D Deep Learning, Point Cloud, PointNet

5.

Statistical and Machine Learning Approaches to Describe Factors Affecting Preweaning Mortality of Piglets

Translational Animal Science, volume 7, issue 1, 2023[10.1093/tas/txad117]
Number of pages: 12 Posted: 14 Jan 2025
Md Towfiqur Rahman, Tami Brown-Brandl, Gary Rohrer, Sudhendu R.  Sharma, Vamsi  Manthena and Yeyin Shi
University of Nebraska-Lincoln, University of Nebraska-Lincoln, USDA-ARS, University of Nebraska-Lincoln, University of Nebraska at Lincoln and University of Nebraska at Lincoln
Downloads 24 (1,399,036)

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machine learning, preweaning mortality, piglets, random forest, swine

6.

Deep learning framework for sow posture classification from depth images: Comparison with data transformation techniques, models, and cross-validation

Number of pages: 53 Posted: 20 Apr 2026
Md Towfiqur Rahman, Tami Brown-Brandl, Gary Rohrer, Raj Sharma, Suzanne M. Leonard and Yeyin Shi
University of Nebraska-Lincoln, University of Nebraska-Lincoln, USDA-ARS, University of Nebraska-Lincoln, affiliation not provided to SSRN and University of Nebraska at Lincoln
Downloads 16 (1,509,872)

Abstract:

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machine learning, preweaning mortality, jet colormap, grayscale, 3-D image, YOLO, farrowing stalls, Precision livestock farming