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Special Issue "Sensors and Systems for Smart Agriculture"
Deadline for manuscript submissions: 31 October 2019.
Dr. Daniela Stroppiana Website E-Mail
Institute for Electromagnetic Sensing of the Environment, National Research Council (IREA-CNR), via Bassini 15, Milan 20133, Italy
Interests: Monitoring natural ecosystems; Mapping fires and burned areas; Integration of optical and SAR data for fire monitoring; Time series analysis; Processing and classification of multi-spectral UAV data
Dr. Mirco Boschetti Website E-Mail
Institute for Electromagnetic Sensing of the Environment, Italian National Research Council, (IREA-CNR), Milano UNIT, Via Alfonso Corti, 12 20133 Milan, Italy
Interests: and use and crop mapping; retrieval of bio-physical parameters; agro-practises and phenological monitoring from time series analysis; environmental indicator through geographic multisource data integration; precision farming; anomaly detection
International organisations, such as FAO, state that producing more food with less natural resources is a challenge of the future, due to the foreseen increase in global population that is expected to exceed nine billion by 2040, as well as the effects of climate change. Great expectation is in digital technologies recognised as an efficient tool to provide key data stream to support both smart and sustainable crop management and phenotyping for plant breeding.
A large number of sensors are available, as are methodological and technical solutions to collect measurements, store and integrate data and extract added value information to be ingested in operational monitoring and managing systems.
This Special Issue will collect contributions on available sensors for agriculture, soil and plant monitoring and processing techniques with a particular interest in new sensors and frontier applications in precision farming and phenotyping sectors. In this framework, contributions presenting operational workflows based on sensors, advanced data processing techniques and their integration in Decision Support Systems (DSS) are encouraged.
Dr. Daniela Stroppiana
Dr. Mirco Boschetti
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. Sensors 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.
- Multi-spectral, hyper-spectral and active radar and LiDAR sensors
- Space-borne, air-borne and UAV platforms
- Proximal sensing and robotic manned and unmanned systems
- Advanced in-plant sensors
- Algorithm to automatically derive soil and plant properties
- Accuracy of sensor measurements and parameters estimates
- Smart farming, precision agriculture, and phenotyping
- Smart applications for site-specific crop monitoring and management
- Data processing techniques and related big data problem and solution
- IoT solutions and automation
- Decision support systems and making (AI, machine learning)