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A Data-Driven Image Extraction and Analysis Pipeline for Plant Phenotyping in Controlled Environments

1Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA
2Department of Soil and Crop Sciences, Texas A&M University, College Station, TX, USA
3Texas A&M AgriLife Research, Texas A&M University, College Station, TX, USA
4Department of Biological and Agricultural Engineering, Texas A&M University, College Station, TX, USA
5Department of Agricultural and Biological Engineering, Mississippi State University, Mississippi State, MS, USA
6Department of Entomology, Texas A&M University, College Station, TX, USA
7Department of Biochemistry, University of Nebraska–Lincoln, Lincoln, NE, USA
*Correspondence email: fahimehorvatinia@tamu.edu, jpeeples@tamu.edu
Abstract

Temporal imaging of plants in controlled environments helps scientists better understand growth and biological processes. However, analyzing large volumes of images has been limited by a lack of [...]

Project Organization and Workflow Integration
Figure 1: Integration of teams and responsibilities in the Texas A&M AgriLife Phenotyping Greenhouse project.
Comprehensive Phenotyping Pipeline
Figure 2: Comprehensive pipeline for multispectral plant phenotyping and feature analysis.
Plant Growth and Phenotyping Version 2 Dataset

This study introduces the expanded Plant Growth and Phenotyping Version 2 dataset (PGP v2), which substantially increases both scale and diversity from the initial release, comprising appro[...]

Dataset Samples
Corn (~14,000 images)
Corn sample 1
Corn sample 2
Corn sample 3
Corn sample 4
Cotton (~27,000 images)
Cotton sample 1
Cotton sample 2
Cotton sample 3
Cotton sample 4
Rice (~1,376 images)
Rice sample 1
Rice sample 2
Rice sample 3
Rice sample 4
Sorghum (~10,608 images)
Sorghum sample 1
Sorghum sample 2
Sorghum sample 3
Sorghum sample 4
Citation
Plain Text:
F. Orvati Nia, J. Peeples, S. C. Murray, A. McFarland, T. Vann, S. Salehi, R. Hardin, D. D. Baltensperger, A. Ibrahim, J. A. Thomasson, H. Fadamiro, N. K. Subramanian, R. Roston, J. Ishimwe[...]
"A Data-Driven Image Extraction and Analysis Pipeline for Plant Phenotyping in Controlled Environments." 
bioRxiv, 2026.

BibTex:
@article{orvati2026data,
  title={A Data-Driven Image Extraction and Analysis Pipeline for Plant Phenotyping in Controlled Environments},
  author={Orvati Nia, Fahimeh and Peeples, Joshua and Murray, Seth C and McFarland, Andrew and Vann, Troy and Salehi, Shima and Hardin, Robert and Baltensperger, David D and Ibrahim, Amir and Tho[...]
  journal={bioRxiv},
  pages={2026--02},
  year={2026},
  publisher={Cold Spring Harbor Laboratory}
}