Pigweeds (Amaranthus species), negatively impact crop production systems
throughout the world. They are distinguished from each other using manual
methods that are tedious and time-consuming to complete. Hyperspectral light
reflectance properties of plant leaves and canopies have shown promise for
detecting and mapping weeds in crop production systems. Vegetation indices
derived from hyperspectral reflectance data enhance differences between plants,
leading to better detection of them from other targets. The objective was to evaluate
the biomass and structural index, the biochemical index, the red edge index,
the water and moisture index, the light-use efficiency index, and the lignin
cellulose index for measuring differences among six pigweed species: Amaranthusalbus (L), A. hybridus (L), A. palmeri (S. Wats.), A. retroflexus (L), A. spinosus (L), and A. tuberculatus [(Moq.) Sauer].
Two experiments were conducted under greenhouse conditions. Hyperspectral
reflectance measurements were collected from the plant canopies on two dates
for each experiment. Analysis of variance (ANOVA) and Tukey’s honest
significant difference (HSD) test were used to determine if statistical
differences (P ≤ 0.05)
existed among the pigweed
species canopies and to identify which
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