The Universe of Leaf Traits

Plant / Soil Masking

Generate a binary plant-ground mask from any RGB image. The foundation for every downstream RGB analysis.

Canopy Cover & Greenness Indices

Compute canopy cover fraction and vegetation indices (VARI, NGRDI, GLI). Masking runs automatically as the first step.

Leaf Area Index (LAI)

Estimate LAI from nadir RGB images using the Beer-Lambert gap fraction model.

Leaf Segmentation & Morphology

Segment individual leaves and compute per-leaf area, perimeter, shape, and angle proxy.

Senescence Staging

Quantify green, yellowing, and senescent pixel fractions across the canopy.

Canopy Height Proxy

Approximate canopy height from shadow length and sun angle or stereo image pairs.

Chlorophyll / Nitrogen Proxy

Derive relative chlorophyll and nitrogen proxy scores from RGB vegetation indices.

Patchiness / Uniformity Scoring

Score canopy uniformity using spatial statistics and connected-component analysis.

Lodging Detection

Detect lodged crop areas from canopy texture and directional gradient patterns.

Stand Count & Emergence

Count individual plants and score emergence uniformity at early vegetative stages.

Thermal Measurement Readiness

Find optimal measurement windows using the S-parameter sensitivity framework.

Temperature Summary & Variability

Extract mean, percentiles, and variance from thermal images with optional plant masking.

Canopy–Air Temperature Difference

Compute ΔT (canopy minus air) for water-stress interpretation.

Crop Water Stress Index (CWSI)

Normalised thermal stress scoring with empirical wet/dry reference baselines.

Disease Classification

Classify leaf diseases from RGB images with crop-specific confidence scoring.

Diseased Area Fraction

Quantify the percentage of leaf or canopy area affected by disease symptoms.

Leaf Count (Rosette)

Count leaves on rosette and single-plant images from controlled environments.