Results 241 to 250 of about 270,656 (363)

Breeding 5.0: Artificial intelligence (AI)‐decoded germplasm for accelerated crop innovation

Journal of Integrative Plant Biology, EarlyView.
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, Shouzhi Zheng, Longjiang Fan, Xiaoming Zheng, Qian Qian   +4 more
wiley   +1 more source

Design and Demonstration of Compact and Lightweight Imaging Spectrometer Based on Schwarzschild Reflector Systems Using Commercial Off-the-Shelf Optics. [PDF]

Sensors (Basel)
Yuan S, Huang M, Zhao X, Luo F, Gao H, Zhang Z, Zhao W, Wang G, Wang Z, Jiang P, Han W, Qian L, Zhang G.   +12 more
europepmc   +1 more source

UNet-Based End-to-End Anomaly Detection With Computational Hyperspectral Imaging

Weiqun Shi, Junren Wen, Yipeng Chen, Yu Shao, Haiqi Gao, Xuehui Wang, Chenying Yang   +6 more
openalex   +1 more source

Brain tissue classification in hyperspectral images using multistage diffusion features and transformer

Journal of Microscopy, EarlyView.
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, Tuan T. Nguyen, Gianluca Tozzi   +2 more
wiley   +1 more source

Advanced hyperspectral image processing and machine learning approaches for early detection of wheat stem rust. [PDF]

Front Plant Sci
Fedotov A, Eremenko D, Kuznetsova D, Baranova O, Terentev A.   +4 more
europepmc   +1 more source

CINet: Causal Inference inspired Network for Cross-Scene Hyperspectral Image Classification

Chuancong Lin, Zhaoyang You, Yaohai Lin
openalex   +1 more source

Bridging data silos to holistically model plant macrophenology

New Phytologist, EarlyView.
Summary Phenological response to global climate change can impact ecosystem functions. There are various data sources from which spatiotemporal and taxonomic phenological data may be obtained: mobilized herbaria, community science initiatives, observatory networks, and remote sensing.
Lizbeth G. Amador, Tadeo H. Ramirez‐Parada, Isaac W. Park, Susan J. Mazer, Aaron M. Ellison, Margaret O'Brien, Eric R. Sokol, Colin A. Smith, Charles C. Davis, Sydne Record   +9 more
wiley   +1 more source

Dynamic gated fusion network with hierarchical multi-scale attention for hyperspectral image classification. [PDF]

Sci Rep
Shi X, Liu L, Bao X, Pan B, Hussain S.
europepmc   +1 more source

Deep Residual Learning for Hyperspectral Imaging Camouflage Detection with SPXY-Optimized Feature Fusion Framework

Qiran Wang, Jinshi Cui
openalex   +1 more source

Using reflectance spectra and Pl@ntNet to identify herbarium specimens: a case study with Lithocarpus

New Phytologist, EarlyView.
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, Pierre Bonnet, Hervé Goëau, Alexis Joly, Jeannine Cavender‐Bares, David A. Coomes   +5 more
wiley   +1 more source