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Author Guidelines — Journal of Digital Agriculture and Smart Farming Systems

About this journal

Aims The Journal of Digital Agriculture and Smart Farming Systems (JDASF) aims to advance the science and practice of integrating information and communication technologies (ICT), the Internet of Things (IoT), and intelligent decision-support systems into agricultural operations. It serves as a premier venue for high-quality, peer-reviewed research that demonstrates how computational methods, sensor networks, and data analytics can enhance productivity, sustainability, and resilience in farming. JDASF encourages submissions that bridge the gap between computer science innovation and real-world agricultural challenges, fostering a multidisciplinary dialogue among technologists, agronomists, and practitioners. Scope The journal covers the full lifecycle of digital agriculture solutions, from conceptual design and prototyping to deployment and field evaluation. Specific topical areas include, but are not limited to: • IoT architectures and wireless sensor networks for crop and livestock monitoring • Machine learning and deep learning for yield prediction, disease detection, and resource optimization • Decision-support systems for irrigation, fertilization, and pest management • Precision agriculture technologies including GPS-guided machinery and variable rate application • Robotics and autonomous systems for planting, harvesting, and weeding • Blockchain and digital traceability for supply chain transparency • Cloud computing, edge computing, and big data platforms for agricultural analytics • Human-computer interaction and user experience design for farming applications • Cyber-physical systems and digital twins of agricultural processes • Socio-technical aspects of technology adoption in smallholder and industrial farming contexts Article Types JDASF welcomes submissions in the following formats: • Original Research Articles (up to 8,000 words) • Review Articles (up to 12,000 words) • Short Communications (up to 3,000 words) • Case Studies and Field Reports (up to 5,000 words) • Technical Notes (describing novel algorithms, prototypes, or datasets) • Perspectives and Opinion Pieces (by invitation only) Audience Researchers and educators in computer science, agricultural engineering, and environmental science; agricultural technology developers and industry professionals; policymakers and extension specialists; graduate students and early-career researchers seeking a platform for cutting-edge digital farming research.

Before you submit

• Manuscripts must be original, unpublished work not under consideration elsewhere.
• All authors must approve the submitted version and agree to the ICMJE authorship criteria.
• Declare all funding sources, conflicts of interest, and any AI assistance used.
• Ensure ethics approval and informed consent are stated where human or animal subjects are involved.

Manuscript structure

1. Title page (title, all authors with affiliations, corresponding author, ORCID iDs)
2. Abstract (structured where appropriate) and 3–8 keywords
3. Main text: Introduction, Methods, Results, Discussion, Conclusion
4. References in a consistent style; DOIs where available
5. Tables and figures supplied as separate, high-resolution files

Peer review

Journal of Digital Agriculture and Smart Farming Systems uses double-blind peer review. At least two independent reviewers assess each manuscript.

Licensing and fees

Articles are published open access under CC BY 4.0. The article processing charge is USD 400; waivers are available for authors from low-income countries.

Publication frequency: Continuous Quarterly. Publisher: AIR JOURNALS.

Submit

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