Tri branch attention enhanced 3DUNet for remote sensing based hyperspectral image classification. [PDF]
Ashraf M +5 more
europepmc +1 more source
Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang +12 more
wiley +1 more source
Advanced hyperspectral image processing and machine learning approaches for early detection of wheat stem rust. [PDF]
Fedotov A +4 more
europepmc +1 more source
Improved multi-label imaging using hyperspectral phaser analysis [PDF]
Dustin M. Graham
openalex +1 more source
Phenotypic scoring of canola blackleg severity using machine learning image analysis
Abstract Canola blackleg is a fungal disease that causes significant yield loss and plant death of infected canola (Brassica napus L., Brassica rapa L., Brassica juncea L.) fields worldwide. One of the most effective methods for controlling blackleg is through the cultivation of resistant varieties.
Qiao Hu +15 more
wiley +1 more source
ELDGG: an end-to-end LiDAR-dynamic-guided GAN for hyperspectral image hierarchical reconstruction and classification. [PDF]
Zhang X +7 more
europepmc +1 more source
A self-supervised and adversarial approach to hyperspectral demosaicking and RGB reconstruction in surgical imaging [PDF]
Peichao Li +3 more
openalex +1 more source
PlantCV v4: Image analysis software for high‐throughput plant phenotyping
Abstract PlantCV is an open‐source Python project aimed at developing tools to address a range of image‐based, plant phenotyping questions. PlantCV has been used for more than 10 years to automate trait collection from image data, and the newest release, PlantCV version 4, continues to lower the barrier to entry for users without substantial coding ...
Haley Schuhl +61 more
wiley +1 more source
Hyperspectral Image Denoising via Quasi-Recursive Spectral Attention and Cross-Layer Feature Fusion. [PDF]
Xiao Y, Zhou H, Li W, Yang L, Wang K.
europepmc +1 more source
Development of a new spectral library classifier for airborne hyperspectral images on heterogeneous environments [PDF]
André Mende +4 more
openalex

