Remote Sensing and IoT Application for Smart Agriculture
A special issue of Journal of Sensor and Actuator Networks (ISSN 2224-2708). This special issue belongs to the section "Network Services and Applications".
Deadline for manuscript submissions: 31 May 2026 | Viewed by 80
Special Issue Editors
Interests: Internet of Things; embedded systems; deep learning; computer vision; pattern recognition
Interests: Internet of Things; unmanned aerial vehicles; computer vision; reinforcement learning
Interests: electronic sensor and system; deep learning; agricultural Internet of Things; machine-learning-based photonics system; LIDAR; NIR spectroscopy; fluorescent imaging system; crop phenotype monitoring; agricultural digital twins
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The convergence of remote sensing (RS) and Internet of Things (IoT) technologies is revolutionizing agriculture by enhancing productivity, sustainability, and climate resilience. This Special Issue explores cutting-edge advancements in RS and IoT for smart agriculture, focusing on real-time monitoring, precision agriculture, and data-driven decision-making. High-resolution satellite imagery, drones, ground-based sensors, and IoT networks enable scalable solutions for crop health assessment, soil analysis, pest control, and irrigation optimization.
Key innovations include integrating RS data (multispectral, thermal, hyperspectral) with IoT-generated field metrics through AI algorithms to optimize yield prediction, automate workflows, and mitigate environmental risks. Case studies highlight applications such as variable-rate fertilization, smart irrigation systems, and climate adaptation tools. Critical challenges such as energy-efficient device design, data interoperability, and equitable technology adoption in rural regions are also addressed.
This Issue invites interdisciplinary contributions on cost-effective sensors, Edge AI for real-time analytics, blockchain-enabled traceability, and frameworks for stakeholder engagement. By bridging technology, policy, and practice, it aims to advance sustainable agriculture, empower farmers, and strengthen global food security in the digital era. Submissions emphasizing scalable, socially inclusive solutions are encouraged.
Topics of interest include, but are not limited to, the following:
- Low-cost, energy-efficient IoT sensors for soil, crop, and environmental monitoring.
- AI/ML-driven fusion of remote sensing (multispectral, thermal, LiDAR) and IoT field data.
- Edge computing and lightweight AI for real-time agricultural analytics.
- Drone/UAV-based precision mapping for crop stress detection and yield estimation.
- Wireless sensor networks for smart irrigation and water management.
- Blockchain-enabled traceability in agricultural supply chains.
- Hyperspectral imaging for early pest/disease detection and nutrient deficiency analysis.
- Climate-resilient farming using hybrid IoT–remote sensing models.
- Farm robotics and automation integrating IoT actuation with geospatial data.
- Scalable digital twin frameworks for farmland management and decision support.
- Solutions for rural connectivity gaps and IoT device energy sustainability.
- Farmer-centric tool design and policy frameworks for smart agriculture
Prof. Dr. Xihai Zhang
Dr. Xiangyu Meng
Prof. Dr. Yuan Rao
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. Journal of Sensor and Actuator Networks 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 2000 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.
Keywords
- edge AI in agriculture
- hyperspectral crop diagnostics
- blockchain traceability
- agricultural wireless sensor networks
- drone-based crop mapping
- agricultural robotics
- smart farms
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