[agents] [Special Issue][MDPI Electronics] (IF:2.412) “Electronics for Agriculture”

[Mohamed Amine FERRAG]

Dear colleagues,

We are pleased to inform that the Special Issue “Electronics for
Agriculture” is open now. Please kindly find the detailed special issue
information with the following link:

https://www.mdpi.com/journal/electronics/special_issues/eagriculture_electronics

Looking forward to receiving your papers and thank you very much for your
support.

Best,
The Guest Editors


*Special Issue Information*

Dear Colleagues,

Electronics plays an important role in all fields, especially during the
wave of the fourth industrial revolution (Industry 4.0). For example,
ubiquitous sensing can be achieved through remote sensing, wireless sensor
networks, drone swarm, and crowdsensing. Ubiquitous computing in any
device, in any location, and in any format comes true with the help of
embedded computing, edge/fog computing, and cloud computing. Benefitting
from artificial intelligence and big data technologies, ubiquitous
intelligence makes the world smarter.

    Human society has experienced three agricultural revolutions from
traditional indigenous farming to mechanized farming, and elementary smart
agriculture more recently. However, the agriculture industry at the current
stage still faces many challenges, including global food security,
ecological and public health problems, animal welfare, lack of
digitization, lack of intelligence, food safety, inefficient supply chain
management, etc.

    The above challenges are expected to be addressed by applying
cutting-edge electronic and information technologies into agriculture
toward the fourth agricultural revolution (Agriculture 4.0). This has
attracted unprecedented attention from governments, industry, and academia
all over the world. The objective of this Special Issue is to provide a
forum for researchers from diverse interdisciplinary areas to present their
latest achievements in smart agriculture.
Keywords

   - New electronic equipment and device for new smart agricultural
   application
   - Industry 4.0 technologies for Agriculture 4.0 (agronomy, horticulture,
   forestry, aquaculture, livestock farming, etc.)
   - Internet of Things in agriculture (WSNs, UAVs, remote sensing,
   crowdsensing, etc.)
   - Artificial intelligence in agriculture (artificial neural networks,
   deep learning, machine vision, image recognition, distributed computing,
   parallel computing, federated learning, etc.)
   - Robotics and autonomous systems in agriculture
   - Big data analytics in agriculture (data fusion, data mining, knowledge
   extraction, etc.)
   - Fault diagnosis during agricultural production and harvesting
   - Security and privacy preserving in the Agricultural Internet of Things
   (threats and attack models, cryptographic mechanisms, anonymity and
secret
   sharing, secure mathematical models, privacy-preserving technology,
   blockchain technology, authentication and access control, etc.)
   - Smart agricultural applications (plant phenotype, automated flower
   picking, meat quality analysis, plant disease recognition,
   three-dimensional reconstruction, rice seed classification, air quality
   monitoring and control, analysis of poultry behavior, etc.)


Prof. Dr. Lei Shu
Prof. Dr. Simon Pearson
Dr. Ye Liu
Dr. Mohamed Amine Ferrag
Dr. Leandros Maglaras
*Guest Editors*
-- 
_________________________________________________________________________
*Dr. Mohamed Amine Ferrag*
Senior Lecturer Class A
Department of Computer Science
Guelma University, BP 401 Guelma 24000, Algeria
Tel. : +213 661 87 30 51
E-mails: mohamed.amine.ferrag at gmail.com /
ferrag.mohamedamine at univ-guelma.dz
Homepage : https://sites.google.com/site/mohamedamineferrag/
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