Innovative Research Award
| Husham Saied |
| Affiliation |
Prince Sultan Military College for Health Science |
| Country |
Saudi Arabia |
| Scopus ID |
N/A |
| Documents |
74 |
| Citations |
978 |
| h-index |
18 |
| Subject Area |
Smart Agriculture |
| Event |
Agri Scientist Awards |
| ORCID |
0000-0001-7642-5791 |
Husham Saied is affiliated with the Prince Sultan Military College for Health Science, Saudi Arabia, and is recognized for contributions within smart agriculture and interdisciplinary scientific research. His academic profile demonstrates measurable publication performance, citation visibility, and participation in applied agricultural innovation and research dissemination activities internationally.[1]
Abstract
This article presents an academic overview of Husham Saied and his scholarly involvement within smart agriculture research. The profile highlights indexed publications, measurable citation performance, and interdisciplinary scientific participation associated with agricultural innovation, engineering applications, and technology-driven sustainability initiatives supporting contemporary agricultural research development internationally.[1]
Keywords
Smart Agriculture; Agricultural Innovation; Scientific Publications; Research Metrics; Citation Analysis; Sustainable Agriculture; Precision Farming; Applied Science; Academic Recognition; Agricultural Engineering.
Introduction
Modern agricultural research increasingly integrates scientific innovation, technological systems, and interdisciplinary methodologies to improve sustainability and productivity. Researchers contributing to smart agriculture support advancements involving precision farming, environmental monitoring, agricultural management, and data-driven cultivation systems.[2]
Research Profile
These measurable academic indicators reflect sustained scientific engagement, publication visibility, and recognized participation within interdisciplinary agricultural and applied scientific research communities internationally.[1]
Research Contributions
The available academic profile indicates contributions related to smart agriculture, sustainable farming technologies, and interdisciplinary agricultural systems. Research activities within these fields commonly involve environmental assessment, precision agriculture, digital monitoring technologies, and productivity optimization.[3]
Publications
Publication records available through recognized research databases demonstrate involvement within peer-reviewed scholarly communication supporting agricultural science, sustainability research, interdisciplinary methodologies, and technical innovation associated with contemporary agricultural systems.[1]
Research Impact
Citation performance and scholarly visibility provide measurable evidence regarding research dissemination and academic influence.[4] Smart agriculture research frequently contributes toward broader sustainability objectives, technological integration, and innovation-oriented agricultural development internationally.[1]
Award Suitability
Based on available scholarly indicators, Husham Saied demonstrates characteristics commonly associated with academic recognition programs emphasizing scientific contribution, interdisciplinary collaboration, and measurable research dissemination. [2]
Conclusion
Husham Saied’s scholarly profile reflects active participation within smart agriculture and interdisciplinary scientific research.[5] The documented metrics, including publication count, citation indicators, and institutional affiliation, demonstrate measurable academic engagement. [1]
External Links
References
-
- Google Scholar. (n.d.). Google Scholar profile: Husham Saied. Google Scholar.
https://scholar.google.com/citations?hl=en&user=Vt_QYQ0AAAAJ
- ORCID. (n.d.). ORCID profile record for Husham Saied.
https://orcid.org/0000-0001-7642-5791
- Wójcik, W., & Smolarz, A. (2017). Information technology in medical diagnostics. CRC Press.
https://scholar.google.com/
- Saied, H. F. I., Al_Omari, A. K., & Avrunin, O. G. (2011). An attempt of the determination of aerodynamic characteristics of nasal airways. Image Processing and Communications Challenges 3, 311-322.
https://doi.org/10.1007/978-3-642-23154-4_35
- Avrunin, O. G., Alkhorayef, M., Saied, H. F. I., & Tymkovych, M. Y. (2015). The surgical navigation system with optical position determination technology and sources of errors. Journal of Medical Imaging and Health Informatics, 5(4), 689-696.
https://doi.org/10.1166/jmihi.2015.1456