The use of plant models in deep learning: an application to leaf counting in rosette plants
出版年份 2018 全文链接
标题
The use of plant models in deep learning: an application to leaf counting in rosette plants
作者
关键词
Phenotyping, Deep learning, Machine learning, 3D plant modeling, L-system
出版物
Plant Methods
Volume 14, Issue 1, Pages -
出版商
Springer Nature
发表日期
2018-01-18
DOI
10.1186/s13007-018-0273-z
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Phenotiki: an open software and hardware platform for affordable and easy image-based phenotyping of rosette-shaped plants
- (2017) Massimo Minervini et al. PLANT JOURNAL
- Using a Structural Root System Model to Evaluate and Improve the Accuracy of Root Image Analysis Pipelines
- (2017) Guillaume Lobet et al. Frontiers in Plant Science
- Deep Plant Phenomics: A Deep Learning Platform for Complex Plant Phenotyping Tasks
- (2017) Jordan R. Ubbens et al. Frontiers in Plant Science
- A survey of image processing techniques for plant extraction and segmentation in the field
- (2016) Esmael Hamuda et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Beyond pixels: A comprehensive survey from bottom-up to semantic image segmentation and cosegmentation
- (2016) Hongyuan Zhu et al. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
- Finely-grained annotated datasets for image-based plant phenotyping
- (2016) Massimo Minervini et al. PATTERN RECOGNITION LETTERS
- Using Deep Learning for Image-Based Plant Disease Detection
- (2016) Sharada P. Mohanty et al. Frontiers in Plant Science
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Functional–structural plant models: a growing paradigm for plant studies
- (2014) Risto Sievänen et al. ANNALS OF BOTANY
- Simulation of image acquisition in machine vision dedicated to seedling elongation to validate image processing root segmentation algorithms
- (2014) Landry Benoit et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Image-based plant phenotyping with incremental learning and active contours
- (2013) Massimo Minervini et al. Ecological Informatics
- An online database for plant image analysis software tools
- (2013) Guillaume Lobet et al. Plant Methods
- Computational models of plant development and form
- (2012) Przemyslaw Prusinkiewicz et al. NEW PHYTOLOGIST
- Rosette Tracker: An Open Source Image Analysis Tool for Automatic Quantification of Genotype Effects
- (2012) J. De Vylder et al. PLANT PHYSIOLOGY
- L-Py: An L-System Simulation Framework for Modeling Plant Architecture Development Based on a Dynamic Language
- (2012) Frédéric Boudon et al. Frontiers in Plant Science
- A unifying view on dataset shift in classification
- (2011) Jose G. Moreno-Torres et al. PATTERN RECOGNITION
- Phenomics – technologies to relieve the phenotyping bottleneck
- (2011) Robert T. Furbank et al. TRENDS IN PLANT SCIENCE
- A dynamic root system growth model based on L-Systems
- (2010) Daniel Leitner et al. PLANT AND SOIL
- The rule-based language XL and the modelling environment GroIMP illustrated with simulated tree competition
- (2008) Reinhard Hemmerling et al. FUNCTIONAL PLANT BIOLOGY
- OpenAlea: a visual programming and component-based software platform for plant modelling
- (2008) Christophe Pradal et al. FUNCTIONAL PLANT BIOLOGY
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search