Advanced Instrumentation for an Intelligent Agriculture: Current Trends and Perspectives
A special issue of Instruments (ISSN 2410-390X).
Deadline for manuscript submissions: closed (28 February 2019) | Viewed by 19540
Special Issue Editors
Interests: process control; computational intelligence; automation in agriculture; wireless sensor networks; microgrids’ management
Special Issues, Collections and Topics in MDPI journals
Interests: agricultural machinery automation; ISOBUS technologies; unmanned ground and aerial vehicles; decentralized and resilient digital farming systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Agriculture is rapidly changing in order to fulfil the increasing demand for higher productivity and better food quality. We are already witnessing a functional transition of instruments, devices and sensors, from traditional data acquisition devices to information providers with high processing capabilities. This is bringing us one step closer to the digital transformation of how common agricultural practices are being performed. The innovative framework of intelligent agriculture aims at incorporating advanced instrumentation and sophisticated algorithms for addressing issues, such as increased crop yields and animal performance, cost reduction, resource efficiency, environmental pollution, and food security.
This overarching aim of this Special Issue is to bring together recent development related to advanced instrumentation utilized in agriculture. We invite you to contribute to this issue by submitting comprehensive reviews, case studies, or research articles that focus on scientific methods, technological tools and innovatively statistical analyses, in order to provide an overview of the current trends but also discuss future perspectives that are expected to have a profound impact. The focus of the issue is on the actual instrumentation and not on the mere agricultural issues. Contributions are expected to deal with, but are not limited to, the following areas:
- Proximal sensors and instruments for soil characterization
- Sensors and instruments for water characterization
- Biological sensors and instruments
- Instruments for multispectral imaging
- Instruments and devices for hyperspectral data collection
- Instrumentation for variable rate irrigation
- Production yield measurement devices and instruments
- Dry weight measuring instruments and devices
- Instruments and devices for weed recognition
- Instruments and devices for pest recognition
- Immunosensors
- Devices for disease detection
- Sensors and devices for fluorescence and thermal imaging
- Livestock sensors
- Mobile diagnostic sensors for animal health detection
- Acoustic, Noise and Vibration sensors and devices
- Optical sensors
- Nanobiosensors and nano devices for plants and animals
- Theranostics and implantable sensors and devices
- Instrumentation for selective harvesting
- Electronic noses, tongues and eyes in the agrifood industry
- ISOBUS-enabled sensors and devices
- Instrumentation for intelligent silos and warehouses
- Lab-on-chip
- Intelligent sensing
- Signal Transduction Technology
- Drones
- Microsatellites
- Mobile antennas
- Multi-source data and data fusion
- Accurate dynamics in-field positioning
- Agricultural robotics
- Variable-rate application equipment
- Telemetering
- Big data analytics
- Machine learning
- Internet-based and other Remote Data Acquisition
- Wireless Sensors and Sensor Networks
- Internet of Things (IoT)
Prof. Dr. Konstantinos G. Arvanitis
Dr. Dimitrios S. Paraforos
Guest Editors
Manuscript Submission Information
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