Plant Phenotyping using Probabilistic Topic Models: Uncovering the Hyperspectral Language of Plants
Published 2016 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Plant Phenotyping using Probabilistic Topic Models: Uncovering the Hyperspectral Language of Plants
Authors
Keywords
-
Journal
Scientific Reports
Volume 6, Issue 1, Pages -
Publisher
Springer Nature
Online
2016-03-09
DOI
10.1038/srep22482
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Improvement of Lesion Phenotyping in Cercospora beticola–Sugar Beet Interaction by Hyperspectral Imaging
- (2016) Marlene Leucker et al. PHYTOPATHOLOGY
- Plant Disease Detection by Imaging Sensors – Parallels and Specific Demands for Precision Agriculture and Plant Phenotyping
- (2016) Anne-Katrin Mahlein PLANT DISEASE
- Hyperspectral phenotyping on the microscopic scale: towards automated characterization of plant-pathogen interactions
- (2015) Matheus Kuska et al. Plant Methods
- Plant phenotyping: from bean weighing to image analysis
- (2015) Achim Walter et al. Plant Methods
- Image-based phenotyping of plant disease symptoms
- (2015) Andrew M. Mutka et al. Frontiers in Plant Science
- Metro Maps of Plant Disease Dynamics—Automated Mining of Differences Using Hyperspectral Images
- (2015) Mirwaes Wahabzada et al. PLoS One
- A review of advanced machine learning methods for the detection of biotic stress in precision crop protection
- (2014) Jan Behmann et al. PRECISION AGRICULTURE
- A Review of Imaging Techniques for Plant Phenotyping
- (2014) Lei Li et al. SENSORS
- Future Scenarios for Plant Phenotyping
- (2013) Fabio Fiorani et al. Annual Review of Plant Biology
- Probabilistic topic models
- (2012) David M. Blei COMMUNICATIONS OF THE ACM
- Control of foliar diseases in barley: towards an integrated approach
- (2012) Dale R. Walters et al. EUROPEAN JOURNAL OF PLANT PATHOLOGY
- Recent advances in sensing plant diseases for precision crop protection
- (2012) Anne-Katrin Mahlein et al. EUROPEAN JOURNAL OF PLANT PATHOLOGY
- Early drought stress detection in cereals: simplex volume maximisation for hyperspectral image analysis
- (2012) Christoph Römer et al. FUNCTIONAL PLANT BIOLOGY
- Hyperspectral imaging for small-scale analysis of symptoms caused by different sugar beet diseases
- (2012) Anne-Katrin Mahlein et al. Plant Methods
- Descriptive matrix factorization for sustainability Adopting the principle of opposites
- (2011) Christian Thurau et al. DATA MINING AND KNOWLEDGE DISCOVERY
- Non-invasive approaches for phenotyping of enhanced performance traits in bean
- (2011) Uwe Rascher et al. FUNCTIONAL PLANT BIOLOGY
- Phenomics – technologies to relieve the phenotyping bottleneck
- (2011) Robert T. Furbank et al. TRENDS IN PLANT SCIENCE
- Review of commonly used remote sensing and ground-based technologies to measure plant water stress
- (2011) M Govender et al. WATER SA
- Phenomics: the next challenge
- (2010) David Houle et al. NATURE REVIEWS GENETICS
- CUR matrix decompositions for improved data analysis
- (2009) Michael W. Mahoney et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- On the equivalence between Non-negative Matrix Factorization and Probabilistic Latent Semantic Indexing
- (2008) Chris Ding et al. COMPUTATIONAL STATISTICS & DATA ANALYSIS
- Retrieval of chlorophyll concentration from leaf reflectance spectra using wavelet analysis
- (2007) G BLACKBURN et al. REMOTE SENSING OF ENVIRONMENT
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now