Results 241 to 250 of about 107,679 (337)

Task-Driven Learned Hyperspectral Data Reduction Using End-to-End Supervised Deep Learning. [PDF]

J Imaging, 2020
Zeegers MT, Pelt DM, van Leeuwen T, van Liere R, Batenburg KJ.   +4 more
europepmc   +1 more source

X‐ray computed tomography study of terrestrial analog cores in preparation for Mars sample return

Meteoritics &Planetary Science, EarlyView.
Abstract Mars Sample Return (MSR) is expected to transform planetary science by providing unprecedented access to pristine Martian material. Initial characterization in the sample receiving facility (SRF) will rely on nondestructive techniques such as X‐ray computed tomography (XCT) to document the condition, distribution, and internal features of ...
Sophie Benaroya, Christopher D. K. Herd, David T. Flannery, Nicolas Randazzo   +3 more
wiley   +1 more source

Proto-DS: A Self-Supervised Learning-Based Nondestructive Testing Approach for Food Adulteration with Imbalanced Hyperspectral Data. [PDF]

Foods
Pang K, Liu Y, Zhou S, Liao Y, Yin Z, Zhao L, Chen H.   +6 more
europepmc   +1 more source

Semantic Segmentation of Sorghum Using Hyperspectral Data Identifies Genetic Associations. [PDF]

Plant Phenomics, 2020
Miao C, Pages A, Xu Z, Rodene E, Yang J, Schnable JC.   +5 more
europepmc   +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

A Deep Learning Approach for Chromium Detection and Characterization from Soil Hyperspectral Data. [PDF]

Toxics
Ma C, Xu X, Zhou M, Hu T, Qi C.
europepmc   +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

Detection of the stem-boring damage by pine shoot beetle (<i>Tomicus</i> spp.) to Yunan pine (<i>Pinus yunnanensis</i> Franch.) using UAV hyperspectral data. [PDF]

Front Plant Sci
Liu MY, Li GY, Shi L, Li YY, Liu H.
europepmc   +1 more source

Enhancing Hyperspectral Data Throughput Utilizing Wavelet-Based Fingerprints

, 1999
I.W. Ginsberg
openalex   +1 more source

Genetic Determinants and Breeding Strategies for Rice Cooking and Eating Quality: A Comprehensive Review

Plant Biotechnology Journal, EarlyView.
ABSTRACT Rice cooking and eating quality (CEQ), a core agronomic trait tied to consumer preference and market value, is regulated by endosperm starch, protein, and lipid metabolism; this review synthesizes advances in its molecular mechanisms, focusing on genetic determinants and regulatory networks of storage substances.
Guangming Lou, Pei Fu, Haozhou Gao, Minqi Li, Huan Shi, Rongjia Liu, Yanhua Li, Hao Zhou, Duo Xia, Yuexing Wang, Guanjun Gao, Yuqing He   +11 more
wiley   +1 more source