Results 191 to 200 of about 35,844 (297)

Spatially and Spectrally Concatenated Neural Networks for Efficient Lossless Compression of Hyperspectral Imagery. [PDF]

J Imaging, 2020
Jiang Z, Pan WD, Shen H.
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

Beyond high‐throughput: leveraging plant phenotyping to improve understanding and prediction of plant growth through process‐based models

New Phytologist, EarlyView.
Summary The last decade has marked a period of rapid innovation in high‐throughput phenotyping (HTP) of plants. This includes the establishment of robotic phenotyping infrastructure, development of new sensors, and improvements in computation for downstream analysis.
To‐Chia Ting, D. Scott Mackay, Jinha Jung, Matthew P. Reynolds, Yang Yang, Diane R. Wang   +5 more
wiley   +1 more source

Remote Sensing of Endogenous Pigmentation by Inducible Synthetic Circuits in Grasses

Plant Biotechnology Journal, EarlyView.
ABSTRACT Plant synthetic biology holds great promise for engineering plants to meet future demands. Genetic circuits are being designed, built and tested in plants to demonstrate the proof of concept. However, developing these components in monocots, which the world relies on for grain, lags behind dicot models, such as Arabidopsis thaliana and ...
Dong‐Yeon Lee, Lucia Acosta‐Gamboa, Luke Saleh, Sunita Pathak, Nathan Swyers, Austin Morgan, Susan Meerdink, Caroline Kuzio, Santiago Calderon, Hudanyun Sheng, Samuel Kenney, Alina Zare, Malia Gehan, Dmitri A. Nusinow   +13 more
wiley   +1 more source

Hierarchical Spatial-Spectral Feature Extraction with Long Short Term Memory (LSTM) for Mineral Identification Using Hyperspectral Imagery. [PDF]

Sensors (Basel), 2020
Zhao H, Deng K, Li N, Wang Z, Wei W.
europepmc   +1 more source

A Computer Vision‐Based Methodology to Estimate Fruit Colour Diversity in Ornamental Pepper (Capsicum spp.)

Plant Breeding, EarlyView.
ABSTRACT Fruit colour diversity within different ripening stages confers ornamental value for pepper plants. Using images can be helpful in analysing the fruit colour‐related genetic diversity and enable selecting accessions for ornamental purposes by avoiding subjectiveness.
Marcos Bruno da Costa Santos, Raylson de Sá Melo, Victor Eduardo de Carvalho Sousa, Artur Mendes Medeiros, Angela Maria dos Santos Pessoa, Silvokleio da Costa Silva, Antonia Maiara Marques do Nascimento, Priscila Alves Barroso   +7 more
wiley   +1 more source

Sparse Feature Learning of Hyperspectral Imagery via Multiobjective-Based Extreme Learning Machine. [PDF]

Sensors (Basel), 2020
Fang X, Cai Y, Cai Z, Jiang X, Chen Z.
europepmc   +1 more source

An object-based approach to quantity and quality assessment of heathland habitats in the framework of natura 2000 using hyperspectral airborne ahs images [PDF]

, 2010
Bertels, L., Delalieux, S., Haest, B., Kooistra, L., Mücher, C.A., Scheunders, P., Spanhove, T., Thoonen, G., Vanden Borre, J.   +8 more
core   +1 more source

Infrared Thermal Imaging Enhanced Selection Intensity for Fusarium Head Blight Resistance in Soft Winter Wheat

Plant Breeding, EarlyView.
ABSTRACT Development of Fusarium head blight (FHB)‐resistant winter wheat (Triticum aestivum L.) varieties relies heavily on visual scoring for large‐scale field evaluations. However, visual assessment of FHB symptoms remains a bottleneck in FHB resistance breeding due to its inherent subjectivity. At a single‐spike scale under greenhouse conditions, a
Jonathan Concepcion, Amanda Noble, Eric Olson   +2 more
wiley   +1 more source

FieldDino: Rapid In‐Field Stomatal Anatomy and Physiology Phenotyping

Plant, Cell &Environment, EarlyView.
ABSTRACT Stomatal anatomy and physiology define CO2 availability for photosynthesis and regulate plant water use. Despite being key drivers of yield and dynamic responsiveness to abiotic stresses, conventional measurement techniques of stomatal traits are laborious and slow, limiting adoption in plant breeding.
Edward Chaplin, Guy Coleman, Andrew Merchant, William Salter   +3 more
wiley   +1 more source