Intelligent Automation for Agricultural Robotics: AI, LLMs, and Data Fusion Approaches
A special issue of Automation (ISSN 2673-4052).
Deadline for manuscript submissions: 28 February 2026 | Viewed by 17
Special Issue Editors
Interests: robotics and automation; sensor modelling; bio-inspired robots; mobile robot olfaction; plume tracking; embedded systems; machine vision-based systems; virtual reality and artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: cyber-physical systems in the manufacturing and process industry smart grid, aerospace, and healthcare
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Agriculture is entering a new era of automation, with intelligent robots transforming farming practices into data-driven, efficient, and sustainable processes. Robots equipped with artificial intelligence (AI), large language models (LLMs), multimodal data fusion, and edge computing are enabling smart farming solutions that can handle complex tasks such as harvesting, weeding, crop monitoring, and soil analysis in highly unstructured farm environments.
This Special Issue of Automation seeks to bring together cutting-edge research and practical applications that advance the design, development, and deployment of agricultural robots. Our goal is to explore how intelligent automation technologies can improve productivity, sustainability, and precision in agriculture while fostering human–robot collaboration.
We welcome original research articles, reviews, and case studies covering, but not limited to, the following topics:
- AI- and LLM-driven agricultural robots;
- Human–robot interactions in farming applications (voice, multimodal, natural language, etc.);
- Data fusion and multimodal integration (vision, IoT, UAVs, and ground robots);
- Harvesting, weeding, spraying, and planting robots;
- Edge and cloud computing for smart agriculture;
- Crop and soil monitoring using robots and drones;
- Swarm robotics and drone–robot collaboration;
- Sustainable and energy-efficient robotic farming solutions;
- Field trials, case studies, and real-world deployment of agricultural robots.
Dr. Ata Jahangir Moshayedi
Dr. Zeashan H. Khan
Dr. Amin Kolahdooz
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. Automation is an international peer-reviewed open access quarterly 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 1200 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
- automation
- robotics
- AI
- IoT
- agriculture
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