Innovative Research Award
Mohamed Edrris King Saud University, Sudan
| Mohamed Edrris | |
|---|---|
| Affiliation | King Saud University |
| Country | Sudan |
| Scopus ID | 57205660266 |
| Documents | 16 |
| Citations | 175 |
| h-index | 8 |
| Subject Area | Embedded Systems |
| Event | Technology Scientists Awards |
| ORCID | 0009-0002-9577-8853 |
Mohamed Edrris is a researcher affiliated with King Saud University whose scholarly work intersects embedded systems, sensing technologies, precision agriculture, and controlled-environment crop research. His publication record includes studies on load-cell-based sensing and hydroponic tomato assessment, reflecting an applied orientation toward measurement, automation, and data-supported agricultural engineering research and innovation.[1][2][3]
Contents
Abstract
Mohamed Edrris is affiliated with King Saud University and is identified in the supplied profile with Embedded Systems as his subject area. His research record includes sensing, simulation, validation, and agricultural applications. Reported publications address a load-cell-based fertilizer flow sensor and hydroponic tomato responses to salinity using spectral, photosynthetic, yield, and quality measurements. These studies demonstrate an applied research orientation connecting instrumentation, data analysis, and precision agriculture. The supplied Scopus indicators list 16 documents, 175 citations, and an h-index of 8. Collectively, the documented work provides evidence of interdisciplinary technical activity relevant to innovation in sensing and agricultural engineering research.[1][2][3]
Keywords
- Embedded Systems
- Sensor Technology
- Precision Agriculture
- Agricultural Engineering
- Hydroponic Agriculture
- Numerical Simulation
- Spectral Indices
- Research Innovation
Introduction
Mohamed Edrris is a researcher affiliated with King Saud University whose scholarly work intersects embedded systems, sensing technologies, precision agriculture, and controlled-environment crop research. His publication record includes studies on load-cell-based sensing and hydroponic tomato assessment, reflecting an applied orientation toward measurement, automation, and data-supported agricultural engineering research and innovation.[1][2][3]
Research Profile
The available research profile identifies Mohamed Edrris with King Saud University and the subject area of Embedded Systems. His Scopus record lists 16 documents, 175 citations, and an h-index of 8. These indicators provide a quantitative context for evaluating his scholarly activity and research visibility across technological domains and applications.[1][2]
Research Contributions
Edrris has contributed to research involving sensor development, numerical simulation, validation, spectral measurements, and plant-performance assessment. His documented work includes data curation, software, and validation responsibilities in hydroponic tomato research, while another publication examines a load-cell-based sensing system for fertilizer flow measurement and monitoring applications for real-world agricultural monitoring systems.[1][2]
Publications
The publication record supplied for this recognition includes studies addressing agricultural sensing and hydroponic tomato production. One 2026 Applied Sciences article develops and validates a load-cell-based mass-flow sensor, while two 2024 and 2025 studies examine salinity, spectral indices, photosynthetic parameters, yield, and fruit quality in hydroponic tomato systems and automation.[1][2][3]
Research Impact
The cited publications demonstrate research relevance to measurement technologies and precision agriculture. The load-cell study combines numerical simulation with laboratory validation for fertilizer-flow sensing, while the tomato studies apply sensing and physiological measurements to characterize salinity responses. Together, these works illustrate interdisciplinary applications of instrumentation and data-driven agricultural assessment in settings.[1][2][3]
Award Suitability
The Innovative Research Award is academically aligned with the documented combination of sensing, simulation, validation, and applied agricultural research. Edrris’s publication contributions provide evidence of technical engagement with measurement systems and experimental analysis, while his Scopus indicators offer context regarding research productivity, citation activity, and scholarly influence within his field.[1][2][3]
Conclusion
Mohamed Edrris presents a research profile connecting embedded systems with practical sensing and agricultural applications. His documented publications address sensor validation and hydroponic crop assessment, supported by measurable Scopus indicators. On the supplied evidence, his work demonstrates a research trajectory appropriate for consideration under an Innovative Research Award within research.[1][2][3]
External Links
- Scopus Author Profile
- 10.1371/journal.pone.0325839
- 10.32604/phyton.2024.049535
- Technology Scientists Awards
References
- Edrris, M., Al-Gaadi, K., Tola, E., & Gaddal, Y. (2026). Development, numerical simulation and laboratory validation of a load-cell-based mass flow rate measuring sensor for dry fertilizers in seed drills. Applied Sciences, 16(13), 6571.
https://doi.org/10.3390/app16136571 - Al-Gaadi, K. A., Zeyada, A. M., Tola, E., Madugundu, R., Edrris, M. K., & Mahjoop, O. (2025). Use of spectral indices and photosynthetic parameters to evaluate the growth performance of hydroponic tomato at different salinity levels. PLoS ONE, 20(6), e0325839.
https://doi.org/10.1371/journal.pone.0325839 - Al-Gaadi, K. A., Zeyada, A. M., Tola, E., Alhamdan, A. M., Ahmed, K. A. M., Madugundu, R., & Edrris, M. K. (2024). Quantitative and qualitative responses of hydroponic tomato production to different levels of salinity. Phyton-International Journal of Experimental Botany, 93(6), 1311–1323.
https://doi.org/10.32604/phyton.2024.049535
