Mohamed Edrris | Embedded Systems | Innovative Research Award

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]

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]

References

  1. 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
  2. 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
  3. 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

Nisha Aggarwal | Internet of Things | Innovative Research Award

Innovative Research Award

                Nisha Aggarwal
Affiliation Maharaja Agrasen Institute of Technology
Country India
Scopus ID 57221954185
Documents 4
Citations 68
h-index 3
Subject Area Internet of Things
Event Technology Scientists Awards
ORCID 0000-0003-2578-2603

Nisha Aggarwal is affiliated with Maharaja Agrasen Institute of Technology, India, where her academic interests emphasize the Internet of Things (IoT), intelligent agriculture, and technology-enabled farming solutions. Her published work explores practical applications of connected devices, data-driven monitoring, and smart cultivation systems that support agricultural productivity and sustainability. These contributions have received scholarly recognition through indexed publications and citations, reflecting growing engagement with emerging digital technologies in agriculture.[1]

Abstract

Nisha Aggarwal’s research focuses on the practical integration of Internet of Things technologies into agricultural environments, particularly mushroom cultivation and technology-assisted farming. Her publications investigate intelligent sensing, environmental monitoring, automation, and artificial intelligence to improve productivity, resource efficiency, and decision-making. These studies contribute to the advancement of precision agriculture by combining connected devices with data-driven methodologies that address contemporary agricultural challenges. Through peer-reviewed publications indexed in recognized databases, her work supports sustainable farming practices while demonstrating the growing importance of IoT-enabled solutions for modern agricultural research and digital transformation.[2]

Keywords

Internet of Things, Smart Agriculture, Mushroom Cultivation, Precision Farming, Artificial Intelligence, Environmental Monitoring, Wireless Sensors, Automation, Sustainable Agriculture, Intelligent Farming Systems.

Introduction

The Internet of Things has transformed agricultural research by enabling connected sensors, automated monitoring, and intelligent decision support systems. Nisha Aggarwal’s scholarly work explores these technologies within agricultural environments, emphasizing sustainable cultivation methods and practical digital solutions that improve productivity, operational efficiency, and resource management through modern technological innovation.[3]

Research Profile

Her research profile reflects interdisciplinary expertise spanning Internet of Things technologies, artificial intelligence applications, and smart farming systems. Through peer-reviewed publications and recognized citation metrics, she has contributed to investigations involving agricultural automation, intelligent monitoring frameworks, and data-driven cultivation strategies supporting sustainable technological advancement.[1]

Research Contributions

Her contributions include IoT-enabled monitoring frameworks for mushroom cultivation, technology-assisted farming methodologies, and reviews examining emerging agricultural technologies. These studies integrate intelligent sensing, automation, and artificial intelligence to improve environmental monitoring, operational efficiency, and informed agricultural decision-making within sustainable farming ecosystems.[2]

Publications

  • An optimized IoT based framework for enhancing mushroom cultivation. Published in International Journal of Information Technology. DOI: https://doi.org/10.1007/s41870-024-02343-6.
  • A Review on Usage of Internet of Things (IoT) Technologies in Mushroom Cultivation. Review article examining IoT applications for intelligent agricultural systems.
  • Technology assisted farming: Implications of IoT and AI. Research discussing combined IoT and artificial intelligence technologies for sustainable agricultural development.

Research Impact

The research has contributed to academic discussions surrounding precision agriculture, intelligent monitoring, and digital farming practices. Indexed publications, citation activity, and interdisciplinary relevance demonstrate meaningful engagement with emerging technologies while supporting future investigations into IoT-enabled agricultural innovation and sustainable resource management.[1]

Award Suitability

The Innovative Research Award appropriately recognizes scholarly efforts that introduce practical technological solutions addressing contemporary challenges. Nisha Aggarwal’s contributions to Internet of Things applications in agriculture, supported by peer-reviewed publications and measurable academic impact, align with the objectives of recognizing innovation, interdisciplinary research, and technological advancement.[1]

Conclusion

Nisha Aggarwal’s scholarly work demonstrates continued interest in applying Internet of Things technologies to practical agricultural challenges. Through research focused on intelligent cultivation systems, technology-assisted farming, and sustainable innovation, her publications contribute valuable knowledge supporting digital transformation and future advancements in precision agriculture and smart farming.[3]

References

  1. Elsevier. (n.d.). Scopus author details: Nisha Aggarwal, Author ID 57221954185. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57221954185
  2. Aggarwal, N., et al. (2024). An optimized IoT based framework for enhancing mushroom cultivation. International Journal of Information Technology.
    https://doi.org/10.1007/s41870-024-02343-6
  3. Aggarwal, N., et al. (2022). A Review on Usage of Internet of Things (IoT) Technologies in Mushroom Cultivation. Scopus Indexed Publication.
    https://www.scopus.com/pages/publications/85130562004
  4. Aggarwal, N., et al. (2021). Technology assisted farming: Implications of IoT and AI. Scopus Indexed Publication.
    https://www.scopus.com/pages/publications/85100741668