Retrieving Sun-Induced Chlorophyll Fluorescence from Hyperspectral Data with TanSat Satellite. [PDF]
Li S, Gao M, Li ZL.
europepmc +1 more source
Breeding 5.0: Artificial intelligence (AI)‐decoded germplasm for accelerated crop innovation
ABSTRACT Crop breeding technologies are vital for global food security. While traditional methods have improved yield, stress tolerance, and nutrition, rising challenges such as climate instability, land loss, and pest pressure now demand new solutions.
Jiayi Fu +4 more
wiley +1 more source
Hyperspectral data as a biodiversity screening tool can differentiate among diverse Neotropical fishes. [PDF]
Kolmann MA +6 more
europepmc +1 more source
This review covers recent progress in the understanding of stress‐responsive regulatory networks in soybean and highlights emerging genomic and breeding strategies. Integrating molecular insights and precision breeding will help to accelerate the development of climate‐resilient soybean cultivars.
Ali Shahzad +8 more
wiley +1 more source
Principal component analysis of hyperspectral data for early detection of mould in cheeselets. [PDF]
Farrugia J +4 more
europepmc +1 more source
Derivation of forest leaf area index from multi - and hyperspectral remote sensing data [PDF]
Martin Schlerf +5 more
openalex
Abstract Brain surgery is a widely practised and effective treatment for brain tumours, but accurately identifying and classifying tumour boundaries is crucial to maximise resection and avoid neurological complications. This precision in classification is essential for guiding surgical decisions and subsequent treatment planning.
Neetu Sigger +2 more
wiley +1 more source
NDVI and Beyond: Vegetation Indices as Features for Crop Recognition and Segmentation in Hyperspectral Data. [PDF]
Nițu A +3 more
europepmc +1 more source
Field hyperspectral data and OLI8 multispectral imagery for heavy metal content prediction and mapping around an abandoned Pb-Zn mining site in northern Tunisia. [PDF]
Mezned N +3 more
europepmc +1 more source
Multisource Hyperspectral and LiDAR Data Fusion for Urban Land-Use Mapping based on a Modified Two-Branch Convolutional Neural Network [PDF]
Quanlong Feng +3 more
openalex +1 more source

