Land-based crop phenotyping by image analysis: consistent canopy characterization from inconsistent field illumination
出版年份 2018 全文链接
标题
Land-based crop phenotyping by image analysis: consistent canopy characterization from inconsistent field illumination
作者
关键词
Wheat, Colour, Phenomics, NDVI
出版物
Plant Methods
Volume 14, Issue 1, Pages -
出版商
Springer Nature
发表日期
2018-05-26
DOI
10.1186/s13007-018-0308-5
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。- Estimation of vegetation indices for high-throughput phenotyping of wheat using aerial imaging
- (2018) Zohaib Khan et al. Plant Methods
- Comparison of ground cover estimates from experiment plots in cotton, sorghum and sugarcane based on images and ortho-mosaics captured by UAV
- (2017) Tao Duan et al. FUNCTIONAL PLANT BIOLOGY
- Field Scanalyzer: An automated robotic field phenotyping platform for detailed crop monitoring
- (2017) Nicolas Virlet et al. FUNCTIONAL PLANT BIOLOGY
- A nondestructive method to estimate the chlorophyll content of Arabidopsis seedlings
- (2017) Ying Liang et al. Plant Methods
- An image analysis pipeline for automated classification of imaging light conditions and for quantification of wheat canopy cover time series in field phenotyping
- (2017) Kang Yu et al. Plant Methods
- A method to estimate plant density and plant spacing heterogeneity: application to wheat crops
- (2017) Shouyang Liu et al. Plant Methods
- Vinobot and Vinoculer: Two Robotic Platforms for High-Throughput Field Phenotyping
- (2017) Ali Shafiekhani et al. SENSORS
- Automated Method to Determine Two Critical Growth Stages of Wheat: Heading and Flowering
- (2017) Pouria Sadeghi-Tehran et al. Frontiers in Plant Science
- Image based phenotyping during winter: a powerful tool to assess wheat genetic variation in growth response to temperature
- (2015) Christoph Grieder et al. FUNCTIONAL PLANT BIOLOGY
- Remote, aerial phenotyping of maize traits with a mobile multi-sensor approach
- (2015) Frank Liebisch et al. Plant Methods
- Integrating Image-Based Phenomics and Association Analysis to Dissect the Genetic Architecture of Temporal Salinity Responses in Rice
- (2015) Malachy T. Campbell et al. PLANT PHYSIOLOGY
- Advanced phenotyping and phenotype data analysis for the study of plant growth and development
- (2015) Md. Matiur Rahaman et al. Frontiers in Plant Science
- Non-destructive evaluation of chlorophyll content in quinoa and amaranth leaves by simple and multiple regression analysis of RGB image components
- (2014) M. Riccardi et al. PHOTOSYNTHESIS RESEARCH
- Dissecting the Phenotypic Components of Crop Plant Growth and Drought Responses Based on High-Throughput Image Analysis
- (2014) Dijun Chen et al. PLANT CELL
- Estimating rice chlorophyll content and leaf nitrogen concentration with a digital still color camera under natural light
- (2014) Yuan Wang et al. Plant Methods
- Automated Recovery of Three-Dimensional Models of Plant Shoots from Multiple Color Images
- (2014) M. P. Pound et al. PLANT PHYSIOLOGY
- Illumination invariant segmentation of vegetation for time series wheat images based on decision tree model
- (2013) Wei Guo et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- A Flexible, Low-Cost Cart for Proximal Sensing
- (2013) Jeffrey W. White et al. CROP SCIENCE
- BreedVision — A Multi-Sensor Platform for Non-Destructive Field-Based Phenotyping in Plant Breeding
- (2013) Lucas Busemeyer et al. SENSORS
- Field high-throughput phenotyping: the new crop breeding frontier
- (2013) José Luis Araus et al. TRENDS IN PLANT SCIENCE
- Field-based phenomics for plant genetics research
- (2012) Jeffrey W. White et al. FIELD CROPS RESEARCH
- HTPheno: An image analysis pipeline for high-throughput plant phenotyping
- (2011) Anja Hartmann et al. BMC BIOINFORMATICS
- High-throughput non-destructive biomass determination during early plant development in maize under field conditions
- (2011) J.M. Montes et al. FIELD CROPS RESEARCH
- Accurate inference of shoot biomass from high-throughput images of cereal plants
- (2011) Mahmood R Golzarian et al. Plant Methods
- Phenomics – technologies to relieve the phenotyping bottleneck
- (2011) Robert T. Furbank et al. TRENDS IN PLANT SCIENCE
- Color correction for tone mapping
- (2009) R. Mantiuk et al. COMPUTER GRAPHICS FORUM
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now