Spectral libraries derived from AVIRIS-NG data enable 94% accuracy in plant functional type classification in Indian wildlife sanctuary.
- Open access
- 3 cites
Moving in bioRxiv, Environmental research, Plant, Cell & Environment, Journal of Experimental Botany, Nature Communications.
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Spectral libraries derived from AVIRIS-NG data enable 94% accuracy in plant functional type classification in Indian wildlife sanctuary.
FieldDino enables rapid, high-throughput in-field phenotyping of stomatal traits with 97.1% detection accuracy across 200 wheat genotypes.
Integrating agronomic, genomic, and remote sensing approaches improves wheat nitrogen use efficiency by addressing key physiological and technological constraints.
MorphOTU enables accurate, species-level biodiversity estimation directly from specimen images, matching expert identifications across diverse biological datasets.
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Moving areas, week to 3 Oct 2026