An opinion on imaging challenges in phenotyping field crops
Open Access
- 29 December 2015
- journal article
- Published by Springer Science and Business Media LLC in Machine Vision and Applications
- Vol. 27 (5), 681-694
- https://doi.org/10.1007/s00138-015-0728-4
Abstract
No abstract availableKeywords
Funding Information
- National Science Foundation (MCB-1122130)
This publication has 29 references indexed in Scilit:
- Synthetic Cationic Peptide IDR-1018 Modulates Human Macrophage DifferentiationPLOS ONE, 2013
- Crop Row Detection in Maize Fields Inspired on the Human Visual PerceptionThe Scientific World Journal, 2012
- Phenomics – technologies to relieve the phenotyping bottleneckTrends in Plant Science, 2011
- Three-dimensional digital model of a maize plantAgricultural and Forest Meteorology, 2010
- A stereo imaging system for measuring structural parameters of plant canopiesPlant, Cell & Environment, 2007
- Taverna: a tool for building and running workflows of servicesNucleic Acids Research, 2006
- Cereal phytochromes: targets of selection, targets for manipulation?Trends in Plant Science, 2005
- Monitoring Maize (Zea mays L.) Phenology with Remote SensingAgronomy Journal, 2004
- Microcomputer-Based Quantification of Maize Streak Virus Symptoms in Zea maysPhytopathology®, 1998
- Molecular Marker‐Facilitated Investigations of Quantitative Trait Loci in Maize. II. Factors Influencing Yield and its Component Traits1Crop Science, 1987