About the Journal
Research Frontiers: Smart Agricultural Technology is a peer-reviewed journal dedicated to publishing high-impact original research, critical reviews, and selected high-impact reprints on the development, validation, and application of advanced smart technologies in agriculture. The journal emphasizes the integration of computational intelligence, electronic instrumentation, sensor networks, and automated control systems to optimize agricultural planning, precision production, and resource-efficient management at both farm and production-environment scales. It focuses on the deployment of intelligent algorithms, IoT-enabled platforms, robotics, imaging systems, and data-driven decision-support frameworks to enhance productivity, sustainability, and system resilience in modern agroecosystems.
Published tri-annually, the journal is available in both print and electronic formats, ensuring wide accessibility to the research community.
Scope:
The journal welcomes high-quality submissions in all aspects of Smart Agricultural Technology. Areas of interest include, but are not limited to:
- Precision on-farm planning and production optimization: including crop identification, environmental impact assessment, energy-use efficiency, technology adoption studies, and socio-economic analyses using advanced smart systems.
- Soil management and monitoring: encompassing soil preparation, health diagnostics, and integration of real-time sensor data to enhance crop productivity and sustainability.
- Crop lifecycle automation and monitoring: precision seeding, growth tracking, harvesting optimization, and pest/disease detection using in situ data acquisition, imaging systems, and sensor networks.
- Smart livestock management: real-time monitoring of animal health, welfare assessment, feeding strategies, and automated decision support.
- Post-harvest and within-farm operations: on-farm storage optimization, automated primary product sorting and grading, pest identification, and quality assessment through smart sensing and analytical systems.