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Special Issue "Sensors Application in Agriculture"
A special issue of Agriculture (ISSN 2077-0472).
Deadline for manuscript submissions: closed (1 July 2019).
Dr. Dimitrios S. Paraforos Website E-Mail
Section Technology in Crop Production, Institute of Agricultural Engineering, Faculty of Agricultural Sciences, University of Hohenheim, Garbenstr. 9, 70599, Stuttgart, Germany
Interests: digital farming; control applications in machine automation; durability of agricultural machinery; ISOBUS data analytics; agricultural robotics; machine learning for data-driven agriculture
Technologies are playing an important role in the development of crop and livestock farming, and have the potential to be the key drivers of sustainable intensification of agricultural systems. In particular, new sensors are now available with reduced dimensions, reduced costs and increased performances, which can be implemented and integrated in production systems, allowing an increase of data and eventually an increase of information. This is of great importance to support digital transformation, precision agriculture and smart farming, and to eventually allow a revolution in the way food is produced. In order to exploit these results, authoritative studies from the research world are still needed to support development and implementation of new solutions and best practices.
This Special Issue is aimed at bringing together recent developments related to novel sensors and their proved or potential applications in agriculture. Contributions are expected to deal with, but are not limited to, the following areas:
- Soil, vegetation, air and water sensors
- Livestock sensors
- On the go sensing
- Non-destructive sensing
- Proximal and remote sensing
- Multispectral and Hyperspectral sensors and vegetation indexes
- Fluorescence and thermal imaging
- Sensors for determination of crop health status
- Sensors for determination of animal health status
- Real-time monitoring of animal bio-responses
- Sensors for automated animal management
- Integration of sensors in agricultural machines: automation and controls
- Yield monitoring
- Monitoring of different growth stages of crops and phenotyping
- Early detection of diseases and pests
- Multisensor systems, sensor fusion
- Detection and identification of crops and weeds
- Sensors for detection of fruits and quality determination
- Sensors for positioning, navigation, and obstacle detection
- Multisensors and data fusion
- Advanced characterization techniques
- Sensor networks and IOT in agriculture and livestock sectors
- Sensors solution for precision agriculture and precision livestock farming
Asst. Prof. Dr. Dimitrios S. Paraforos
Ass. Prof. Dr. Spyros Fountas
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. Agriculture is an international peer-reviewed open access monthly 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 1000 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.
- Agricultural sensors
- Livestock sensors
- Precision agriculture
- Precision livestock farming
- Agricultural engineering
- Sensors applications
- Remote sensing
- Proximal sensing
- Sensor networks
- Data fusion
- Digital farming