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Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.
Abstract
No abstract. This is not a gap in this database — OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
The record
- Venue
- Remote Sensing of Environment
- Topic
- Remote Sensing in Agriculture
- Field
- Environmental Science
- Canadian institutions
- York University
- Funders
- —
- Keywords
- Leaf area indexHyperspectral imagingRemote sensingEnhanced vegetation indexVegetation (pathology)Normalized Difference Vegetation IndexEnvironmental scienceContext (archaeology)CanopyAtmospheric radiative transfer codesRadiative transferVegetation IndexAgronomyGeography
- Has abstract in OpenAlex
- no