SIMID and SIPID: Plant Phenotyping Imagery for Drought Stress Analysis

Two concurrent imaging datasets (SIPID with 28 samples and SIMID with 12 samples) capture plant growth under control and drought conditions. The data includes infrared, visible, and near-infrared imagery from multiple perspectives, tracking buckwheat and sunflower plants from vegetative to mature stages. It was acquired using a LemnaTec high-throughput imaging system at the University of Nebraska-Lincoln and is associated with a 2026 research publication.

Use Cases

• Training image classification models to distinguish between plant species (buckwheat and sunflower) based on visible and infrared imagery.
• Developing temporal analysis models for plant growth and maturation stages using the described time-series data.
• Comparing plant morphological responses to drought stress versus control conditions across multiple imaging modalities.
• Exploring 3D reconstruction potential from the multiple perspective images mentioned in the dataset description.

Strengths

• Includes data for two distinct plant species (buckwheat and sunflower) with different physical characteristics.
• Covers multiple induced environments (control and drought) and imaging modalities (infrared, visible, near-infrared) common in phenotyping.
• Provides a temporal resolution spanning from the vegetative stage to full plant maturity.

Limitations

• The total sample size is limited (40 samples combined across two datasets), which may constrain model training.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific analytical tasks.

Provenance

Source

University of Nebraska-Lincoln, acquired using a LemnaTec high-throughput imaging system.

Collection Method

Imaging data collected via a high-throughput imaging system under controlled and drought-induced environments.

Time Range

Temporal coverage spans from plant vegetative stage to full maturity.

Freshness

Last updated 2026-04-22 06:55:24; freshness should be verified.