IoT for Smart Agriculture—2nd Edition

Dear Colleagues,

In the era of the fourth industrial revolution (Industry 4.0), the Digital Transformation of nearly everything has been seen as the ultimate goal. As regards agriculture, Industry 4.0 has imposed its influence to such an extent that we have come to speak about digital agriculture, or even better, Agriculture 4.0. In this context, smart agriculture can include and integrate all the challenges and innovations, respectively, for the sake of delivering new and improved solutions and services to all the stakeholders (experts, farmers, traders, consumers, etc.). The Internet of Things (IoT), the flagship of Industry 4.0 technologies, by ensuring the ability to acquire in situ measurements remotely and in real time, shifts the interest from just using agricultural wireless sensors networks for solving single problems to considering agriculture in the context of cyber-physical systems to support a better understanding and modeling of physical processes.

This Special Issue aims to gather contributions in the form of original research papers and a limited number of reviews exploring developments and advancements in the “IoT for Smart Agriculture”. This includes the optimization of any of the wireless sensing devices’ design aspects (design for hostile external agricultural environments, innovation in hardware, software and firmware, robustness and reliability, EDGE computing integration, integration of AI for in situ analytics, energy autonomy, etc.), the networking of “Things” and services with an emphasis on the application for the agricultural domain (i.e., communication protocols, cellular communications, context-aware middleware, cloud computing, etc.), and new smart agriculture applications according to Agriculture 4.0 (i.e., the combination of real-time data from the field and AI-based analytics to improve decision support operations, use of the concept of Digital Twins for modeling and control, use of a cyber-physical system approach to manage and exert control over diversity and complexity of physical systems in the agricultural domain, etc.).

Dr. Dimitrios Piromalis
Dr. Konstantinos G. Arvanitis
Prof. Dr. Panagiotis Papageorgas
Guest Editors

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 submissions that pass pre-check are 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 2600 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.

• smart agriculture
• precision agriculture
• agriculture 4.0
• digital agriculture
• wireless sensors networks (WSN)
• cyber-physical systems (CPS)
• agricultural digital twins
• AI in situ
• wireless connectivity
• wireless networks
• low-power wide area networks
• hardware design
• context-aware middleware
• cloud computing
• battery energy management
• location and position tracing

• IoT for Smart Agriculture in Sensors (11 articles)