Greenhouse Plant Phenotyping Data for Macronutrient Deficiency Effects

Juan Quijia-Pillajo's dataset contains measurements from a greenhouse experiment evaluating nitrogen, phosphorus, and potassium deficiency in five plant species using the TraitFinder digital phenotyping system. The data includes morphological and spectral vegetation indices for celosia, coleus, marigold, petunia, and tomato plants under different nutrient treatments. The dataset was last updated on May 12, 2026, and is shared under a CC-BY-4.0 license.

Use Cases

• Train models to detect macronutrient deficiency in plants based on spectral vegetation indices like NDVI and GLI.
• Compare species-specific responses to nutrient stress using data from celosia, coleus, marigold, petunia, and tomato.
• Establish reference values for vegetation indices in controlled greenhouse environments.
• Validate digital phenotyping system outputs against traditional growth and leaf tissue nutrient concentration measurements.

Strengths

• Includes data for five distinct plant species (celosia, coleus, marigold, petunia, tomato) enabling cross-species analysis.
• Experimental design includes eight replicate plants per treatment in a randomized complete block design.
• Measures multiple vegetation indices (GLI, NDVI, NPCI, PSRI) providing multi-faceted spectral data.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect bias inherent to controlled greenhouse experiments rather than field conditions.

Provenance

Source

Juan Quijia-Pillajo via figshare

Collection Method

Data collected using the TraitFinder digital phenotyping system in a greenhouse experiment with controlled nutrient treatments.

Freshness

Last updated 2026-05-12 04:15:36; freshness should be verified.