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Read our new collection: Accelerating image-based plant phenotyping and pattern recognition: deep learning or few-shot learning?

Guest Editors:
Yang Li, Shihezi University, Xinjiang, China 
Jiachen Yang, Tianjin University, Tianjin, China
Francesco Marinello, University of Padova, Padova, Italy

Find all of the articles in the collection here.

Articles

Collections

2021

Deep learning or few-shot learning?
Few-shot learning is a new branch of deep learning, which aims to develop an intelligent model with good generalization from only few data, towards the combination of machine intelligence with flexibility and extensibility. Both deep learning and few-shot learning are technological explorations in the field of plant sciences that have the potential to greatly accelerate their applications. 

2018

Plants in computer vision
This collection includes work on plant detection, segmentation and modelling from image data, at many different scales.

2016

Plant genome editing
This series focuses on gene editing as an effective tool in plant biotechnology and genetic engineering. 

2014

Plant phenotyping and phenomics

This series covers all aspects of phenotyping and phenomics technologies as applied to plant research and includes and includes a number of invited contributions from speakers at the 3rd International Plant Phenotyping Symposium.

2013

Next Generation Sequencing technologies for plant research

This series focuses on the use of different sequencing technologies that allow us to sequence DNA and RNA much more quickly and cheaply than Sanger sequencing and their application to plant research.



Editor-in-Chief

Prof Ute Roessner, University of Melbourne

Aims and scope

Plant Methods is an open access, peer-reviewed journal for the plant research community that encompasses all aspects of technological innovation in the plant sciences.

The goal of this journal is to stimulate the development and adoption of new and improved techniques and research tools and, where appropriate, to promote consistency of methodologies for better integration of data from different laboratories.

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In Review: Preprint platform and more

Plant Methods has launched In Review, a new option that provides authors with on-demand information on the status of their manuscript, enables them to share their work with funders and their research community, and allows their colleagues to comment and collaborate - all whilst their manuscript is under review. Full details here.

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