Research Resources

Publications, Data & Code

All research outputs from our methane emission detection study are freely available. Access our publications, datasets, and source code to build upon our work.

Publications

Peer-reviewed research papers documenting our methodology and findings

AcceptedConference Paper2025

GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging

Toqi Tahamid Sarker, Mohamed G Embaby, Taminul Islam, Amer AbuGhazaleh, Khaled R Ahmed

Accepted for publication in IEEE International Conference on Computer Vision (ICCV) Workshop, 2025

PublishedJournal Article2025

Optical gas imaging and deep learning for quantifying enteric methane emissions from cattle under different diets

Mohamed G Embaby, Toqi Tahamid Sarker, Khaled R Ahmed, Amer AbuGhazaleh

IET Image Processing, Vol. 19 (1), pp. e13327, 2025

View Paper (DOI)Dataset

PublishedConference Paper2024

Gasformer: A Transformer-based Architecture for Segmenting Methane Emissions from Livestock in Optical Gas Imaging

Toqi Tahamid Sarker, Mohamed G Embaby, Khaled R Ahmed, Amer AbuGhazaleh

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 5489-5497, 2024

View Paper (DOI)Source Code

Datasets

Labeled datasets for methane detection research. The Controlled Diet (CD) dataset is openly available, while other datasets require permission for research collaboration.

Research Dataset Overview

26,156 total labeled images across four specialized datasets

Controlled Methane Release

Private

Known flow rates

9,23735.3% of total

Beef Cattle Methane Emissions

Private

Live cattle, 3 diets

11,69444.7% of total

Controlled Diet

Available

Different dietary treatments

4,88518.7% of total

Dairy Cow Rumen Gas

Private

Real cow samples

3401.3% of total

Dataset Insights

Largest Dataset: Beef Cattle Methane Emissions with 11,694 images

Public Access: Only Controlled Diet (CD) dataset is openly available

Research Scope: Covers controlled lab conditions to real farm environments

Private

Controlled Methane Release (MR) Dataset

Optical gas imaging dataset of controlled methane releases at known flow rates

Dataset Size

9,237 labeled images

License

Restricted Access

Data Format

640×480 thermal images with segmentation masks

Technical Details

FLIR GF77 camera, flow rates 10-100 SCCM, controlled laboratory conditions

Contact research team for collaboration access

Private

Dairy Cow Rumen Gas (CR) Dataset

Real methane emissions from Holstein dairy cow rumen samples

Dataset Size

340 labeled images

License

Restricted Access

Data Format

640×480 thermal images with emission annotations

Technical Details

24-hour batch culture system, 39°C incubation, authentic farm conditions

Contact research team for collaboration access

Available

Controlled Diet (CD) Dataset

Methane emission data across different cattle dietary treatments

Dataset Size

4,885 labeled images

License

Creative Commons Attribution 4.0

Data Format

Multi-class emission classifications with dietary metadata

Technical Details

4 dietary treatments including seaweed supplement, gas chromatography validated

Download

Private

Beef Cattle Methane Emissions Dataset

Comprehensive methane emission data from beef cattle under varying dietary conditions

Dataset Size

11,694 labeled images

License

Restricted Access

Data Format

640×480 thermal images with emission segmentation masks

Technical Details

FLIR GX320 camera, 3 dietary treatments: High Forage (2,730), Mixed Diet (4,658), High Grain (4,306)

Contact research team for collaboration access

Source Code

Complete implementation code and tools for reproducing our results

PythonMIT License

Gasformer Model Implementation

Complete implementation of the Gasformer architecture with training and inference code

Framework:

PyTorch

View Repository

How to Cite

If you use our work, please cite the appropriate papers using these references

BibTeX Citations

Conference Paper (CVPR 2024)

@InProceedings{Sarker_2024_CVPR,
  author = {Sarker, Toqi Tahamid and Embaby, Mohamed G and Ahmed, Khaled R and Abughazaleh, Amer},
  title = {Gasformer: A Transformer-based Architecture for Segmenting Methane Emissions from Livestock in Optical Gas Imaging},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
  month = {June}, year = {2024}, pages = {5489-5497}
}

Journal Article (IET 2025)

@article{embaby2025optical,
  title={Optical gas imaging and deep learning for quantifying enteric methane emissions from cattle under different diets},
  author={Embaby, Mohamed G and Sarker, Toqi Tahamid and AbuGhazaleh, Amer and Ahmed, Khaled R},
  journal={IET Image Processing}, volume={19}, number={1}, pages={e13327}, year={2025}, publisher={Wiley Online Library}
}

Need Help or Collaboration?

Contact our research team for dataset access, code implementation assistance, or collaboration opportunities in climate and agricultural research.

Research Team

Learn more about our researchers and their expertise

Meet the Team

Contact PI

Get in touch with our Principal Investigator

Send Email

USDA National Institute of Food and Agriculture Award #2022-70001-37404

Southern Illinois University Carbondale