Special Issue "Advanced Imaging for Plant Phenotyping"
Deadline for manuscript submissions: 1 September 2019.
Plant phenotyping is an emerging topic involving the application of digital methods to the highly relevant task of optimizing the genetic potential, cultivation methods, and resource deployment in plant production. In transdisciplinary research, state-of-the-art sensors and data analysis concepts are combined to derive reliable plant-physiological parameters at an increasing throughput.
Plant phenotyping comprises technologies that derive parameters of the plant phenotype as a consequence of the interaction of its genotype with the environmental conditions. To cope with the natural variability in phenotypic expression, a high number of samples will be evaluated in most cases. Phenotypic parameters are expressed at various scales, from single leaves at the plant level, up to crop stands also regarding the plant–plant interaction. In most cases, the reaction of the plant to a specific environmental stress (e.g. drought, plant diseases, or nutrient efficiency) is recorded and used to evaluate the performance of the genotype under these specific conditions.
We welcome papers from the global research community actively involved in research on imaging for plant phenotyping. As such, this Special Issue is open to anyone doing research in this field. The selection of papers for publication will depend on quality and rigor of research. Specific topics include, but are not limited to advanced methods for imaging technologies, sensor setups, and data processing in plant phenotyping:
- Panchromatic, multispectral, and hyperspectral approaches;
- 3D imaging techniques adapted to plants;
- High-throughput sensor platforms;
- Robotics for phenotyping;
- Field phenotyping;
- Stress detection;
- Disease detection;
- Data analysis in plant phenotyping;
- Multi-scale phenotyping;
- Multi-sensor phenotyping.
Dr. Jan Behmann
Dr. Lasse Klingbeil
Dr. Stefan Paulus
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- panchromatic, multispectral, and hyperspectral approaches
- 3D imaging techniques adapted to plants
- high-throughput sensor platforms
- robotics for phenotyping
- field phenotyping
- stress detection
- disease detection
- data analysis in plant phenotyping
- multi-scale phenotyping
- multi-sensor phenotyping