Special issue on computer vision and image analysis in plant phenotyping
- 29 June 2016
- journal article
- editorial
- Published by Springer Science and Business Media LLC in Machine Vision and Applications
- Vol. 27 (5), 607-609
- https://doi.org/10.1007/s00138-016-0787-1
Abstract
No abstract availableThis publication has 22 references indexed in Scilit:
- An opinion on imaging challenges in phenotyping field cropsMachine Vision and Applications, 2015
- Multi-modality imagery database for plant phenotypingMachine Vision and Applications, 2015
- Validation of plant part measurements using a 3D reconstruction method suitable for high-throughput seedling phenotypingMachine Vision and Applications, 2015
- Finding local leaf vein patterns for legume characterization and classificationMachine Vision and Applications, 2015
- Extracting complex lesion phenotypes in Zea maysMachine Vision and Applications, 2015
- A framework for the extraction of quantitative traits from 2D images of mature Arabidopsis thalianaMachine Vision and Applications, 2015
- On the value of the Kullback–Leibler divergence for cost-effective spectral imaging of plants by optimal selection of wavebandsMachine Vision and Applications, 2015
- Generation and application of hyperspectral 3D plant models: methods and challengesMachine Vision and Applications, 2015
- Automated estimation of tiller number in wheat by ribbon detectionMachine Vision and Applications, 2015
- Generation and Application of Hyperspectral 3D Plant ModelsLecture Notes in Computer Science, 2015