Transforming Agriculture Through Industrial Informatics and Emerging Technologies
A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Precision and Digital Agriculture".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 88
Special Issue Editors
Interests: artificial intelligence; agricultural robots; smart farming; intelligent perception
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; deep learning; precision farming; digital agriculture
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The global agricultural landscape is rapidly evolving to meet the challenges of feeding a growing population, ensuring environmental sustainability, and addressing climate variability. Traditional methods of farming and food production are becoming insufficient to meet these demands, prompting a digital transformation in agriculture. Industrial informatics—combining data science, automation, and advanced computational technologies—plays a pivotal role in driving this transformation. By integrating cutting-edge tools such as the Internet of Things (IoT), artificial intelligence (AI), robotics, and big data analytics, industrial informatics is enabling precision, efficiency, and scalability in modern agricultural systems.
This Special Issue focuses on leveraging industrial informatics and emerging technologies to address pressing challenges in agriculture and food systems. It invites contributions on advanced research and innovative applications that integrate smart sensing, the Internet of Things (IoT), artificial intelligence (AI), robotics, and big data analytics to enable precision agriculture, optimize resource use, and enhance sustainability. Topics include, but are not limited to, the following:
- Precision Agriculture: Leveraging IoT, AI, and big data to enhance productivity and resource efficiency;
- Automation and Robotics: Autonomous systems for planting, harvesting, etc.;
- Digital Twins and Predictive Analytics: Virtual representations of agricultural processes to optimize performance and sustainability;
- Smart Monitoring Systems: Real-time sensing and control of environmental and biological parameters;
- Energy-Efficient Farming: Technologies aimed at reducing energy consumption and carbon footprints.
Dr. Yongliang Qiao
Dr. Beibei Xu
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. Agronomy is an international peer-reviewed open access monthly 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.
Keywords
- smart agriculture
- internet of things (IoT)
- artificial intelligence (AI)
- robotics
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