Special Issue "Spectroscopic Analysis of Plants and Vegetation"
Deadline for manuscript submissions: 31 December 2020.
Interests: agronomic applications of Earth Observation; remote sensing; digital image processing; geoinformatics; spectroscopy; precision agriculture; UAV; crops; irrigation; soil
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Interests: sensor systems for automated detection and mapping of crop enemies and threat situations (weeds, fungi, viruses, and insects); sensor systems for the detection, recognition, and mapping of nutrient stresses in crops; hyperspectral, multispectral, fluorescence, fluorescence kinetics, computer vision, thermal, lidar, and multisensor systems for crop status sensing and phenotyping; yield mapping in orchards and arable crops by using new technologies (GNSS, RTK-GPS, Zigbee, ambient computing); sensors for viticulture and wine quality; produce and activity traceability systems in the field by using new technologies (RFID, barcode, GPS, Zigbee, wearable computers, etc); bio-inspired information processing, neuroscience, self-organization, and computational intelligence; intelligent control of mechatronic systems; cyber-physical systems; industry 4.0; Internet of Things, and M2M systems; information and data fusion; cognitive robotics and active learning systems, sensor-based environment awareness
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Recent technological advances in sensor and platform technology have led towards the penetration of spectroscopy into new fields of application. In agricultural production, spectroscopy is an emerging field that proves novel applications every day. Spectrometers of higher spectral accuracy and light enough to be carried by commercial UAVs are being used to detect subtle changes in reflectance of plant parts or vegetation canopy. Novel data analysis techniques are being introduced to improve the accuracy and efficiency of the collected spectra, moving towards operational real-time applications.
This special issue aims to bring together recent research and developments concerning spectroscopic analysis of plants and vegetation. Submissions on the following topics are invited (but not limited to), as long as they present innovative methods and approaches, or novel applications of existing tools on spectroscopy of plants and vegetation:
- Point spectroscopy
- Imaging spectroscopy
- Satellite hyperspectral imaging
- Airborne hyperspectral cameras (UAV)
- Spectroscopy of crop health status determination
- Spectroscopy for crop phenotyping, germination, emergence and determination of the different growth stages of crops
- Spectroscopy for detection of microorganism and pest management
- Multisensor systems, sensor fusion
- Non-destructive plant and vegetation spectroscopy
- Yield estimation and prediction
- Detection and identification of crops and weeds
- Spectra analysis
- Machine learning and emerging algorithms
- Cloud computing
- Real time processing
- On-board processing
- Multiple source data fusion
- Hyperspectral data cubes
- Precision agriculture applications
- Monitoring water use and irrigation requirements
- Crop damage assessment (frost, droughts, hail)
- Site-specific applications and management of agricultural resources
- Plant phenotyping
Prof. Dimitrios Moshou
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 2200 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.
- Spectroscopic information acquisition
- Spectral data processing
- Spectroscopy in agriculture
- Precision agriculture