Intelligent Computing and Sensing Systems for Sustainable Precision Agriculture
A special issue of Computers (ISSN 2073-431X). This special issue belongs to the section "AI-Driven Innovations".
Deadline for manuscript submissions: 31 December 2026 | Viewed by 42
Special Issue Editor
Interests: precision agriculture; smart farming; digital agriculture; remote sensing; Internet of Things (IoT); edge computing; cloud computing; real-time data processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue aims to present cutting-edge research and innovative applications at the intersection of artificial intelligence, advanced sensing, and scalable computing systems to advance sustainable precision agriculture. With growing challenges such as climate uncertainties, resource scarcity, and increasing global food demand, there is an urgent need to develop intelligent, efficient, and environmentally responsible farming solutions. This Issue will gather high-quality contributions that explore how data-driven technologies—including IoT, edge and cloud computing, robotics, and AI—can be integrated to enable real-time monitoring, decision-making, and autonomous operations in agricultural systems. We welcome original research and review articles that address both theoretical advances and practical implementations supporting the transition toward more productive, resilient, and sustainable agricultural practices.
Topics of interest include (but are not limited to) the following:
- AI and machine learning for crop and soil monitoring.
- IoT and wireless sensor networks in agriculture.
- UAVs and satellite-based remote sensing for precision farming.
- Edge and cloud computing platforms for agricultural data analytics.
- Robotics and automation for smart farming operations.
- Digital twins and decision support systems for farm management.
- Energy-efficient and sustainable computing solutions for agriculture.
- Hyperspectral and multimodal sensing in field conditions.
- Real-time control systems for irrigation, fertilization, and pest management.
- Data fusion and big data analytics in agroecological systems.
- Human-in-the-loop and human–robot collaboration in farming.
- Cybersecurity and data privacy in agricultural cyber-physical systems.
We invite researchers and practitioners to submit their work to help shape the future of intelligent and sustainable agriculture.
Dr. Abhilash Chandel
Guest Editor
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 250 words) can be sent to the Editorial Office for assessment.
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. Computers 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 1800 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
- sustainable precision agriculture
- intelligent computing
- sensing systems
- smart farming
- digital agriculture
- artificial intelligence (AI)
- machine learning
- Internet of Things (IoT)
- remote sensing
- edge computing
- cloud computing
- robotics and automation
- digital twins
- data analytics
- computer vision
- wireless sensor networks
- crop monitoring
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