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Special Issue "Remote Sensing for Precision Agriculture"
Deadline for manuscript submissions: 30 October 2020.
Lawrence Berkeley National Laboratory, Climate and Ecosystem Sciences Division, Building 085B, M/S 74R316C CA, USA
Interests: signal and image processing, machine learning for remote sensing, multimodal data integration, hyperspectral data analysis, remote sensing for precision Ag
Special Issues and Collections in MDPI journals
1. Univ. Grenoble Alpes, CNRS, Grenoble INP*, GIPSA-lab, 38000 Grenoble, France 2. Tokyo Tech World Research Hub Initiative (WRHI), School of Computing, Tokyo Institute of Technology, Tokyo, Japan
Interests: remote sensing; image processing; signal processing, machine learning; data fusion; hyperspectral imaging; pansharpening; computational imaging
In the last decade, significant technological advances in precision agriculture have allowed farmers to improve crop management and productivity. At the same time, the rapid change in food demand as well as the impact that industrialized farming has on the environment have provided ground for the development of more optimized and sustainable practices.
In such a context, remote sensing plays a critical role by providing technology as well as methodologies for crop management and resources monitoring (e.g., water).
Data derived by imaging sensors, including multi-/hyper-spectral, fluorescence, thermal, LiDAR, and SAR, as well as the availability of complementary data (e.g., weather forecasting, soil information derived by sensor networks), provide an unprecedented amount of information for which systems based on multi-source and multi-modal data analysis are necessary to extract intelligible information that can be used by farmers. Additionally, the recent advent of UAVs and lightweight sensors provides us with aerial images with high spatial, spectral, and temporal resolutions. The unique resolutions would allow us to investigate, retrieve, and monitor plant physiological and phenological properties.
This Special Issue is aimed at a global research community involved in data analysis, sensor development, and data acquisition for precision agriculture. As such, it is open to anyone researching in the field of precision agriculture. Specific topics include but are not limited to the folllowing:
- Plant and culture mapping;
- Vegetation health monitoring;
- Species detection (e.g., illicit/invasive plants);
- Agricultural crop assessment;
- Yield prediction and quality;
- Phenotyping estimation;
- Plant disease detection;
- Model-based analysis (e.g., by considering 3D plant models);
- Crop mapping based on multimodal acquisitions (e.g., multi/hyperspectral, thermal, LiDAR point clouds, fluorescence, and SAR imaging);
- Time-series analysis for agriculture monitoring;
- In-situ remote sensing measurements (e.g., robotic vision).
Dr. Kuniaki Uto
Dr. Nicola Falco
Dr. Mauro Dalla Mura
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.
- precision agriculture
- plant and culture mapping
- vegetation health monitoring
- species detection
- agricultural crop assessment