Summary The digitisation of plant collections is bringing large quantities of information into accessible electronic databases. However, in recent decades, traditional taxonomic work in collections has declined, meaning that more specimens are only determined to family or genus, particularly when lacking key identification structures.
Barbara M. Neto‐Bradley +5 more
wiley +1 more source
Hyperspectral data-driven corn nitrogen monitoring: application and interpretability analysis of multi-source feature optimization and stacked ensemble learning methods. [PDF]
Kong H +5 more
europepmc +1 more source
Beyond Starch: Towards a Scalable Potato Platform for Molecular Farming
Re‐engineering potato as a biosafe and host‐optimised platform for plant molecular farming by integrating intrinsic biological traits with targeted engineering strategies. ABSTRACT Thirty‐five years after the first recombinant protein was produced in potato and 30 years after clinical trials of edible vaccines from its tubers, the crop is being ...
Izabela Anna Chincinska +2 more
wiley +1 more source
HSICNet a novel deep learning architecture for hyperspectral image classification in remote sensing and environmental monitoring. [PDF]
Purnachand K +5 more
europepmc +1 more source
Dissecting the genetic architecture of seed-related traits in Brassica napus by integrating multi-omics analysis and VIS-NIR hyperspectral imaging. [PDF]
Tan Z +11 more
europepmc +1 more source
Visible-Near-Infrared Hyperspectral Imaging Enables Nondestructive Identification of Bean Accessions via 1D Spectral Reflectance Analysis. [PDF]
Falcioni R +5 more
europepmc +1 more source
Remote Sensing Applications in Medicinal Plant Monitoring and Quality Assessment: A Review. [PDF]
Wang Z +6 more
europepmc +1 more source
Intelligent classification of dominant tree species in urban forests based on UAV hyperspectral remote sensing images. [PDF]
Lu B +7 more
europepmc +1 more source
Integrating Hyperspectral Data and Deep Learning for Non-Destructive Prediction of Tea Quality Parameters Across Different Physical States of Tea Leaves and Growth Periods. [PDF]
Zhou G +13 more
europepmc +1 more source

