Puranjit Singh | Precision Agriculture | Emerging Plant Scientist Award

Published on by Plant Scientist

Emerging Plant Scientist Award

Puranjit Singh, University of Delaware, United States

Researcher Information
Affiliation University of Delaware
Country United States
Scopus ID 58852852500
Documents 6
Citations 61
h-index 4
Subject Area Precision Agriculture
Event International Plant Scientist Awards
ORCID 0000-0002-6975-5618

Puranjit Singh is a researcher affiliated with the University of Delaware whose documented scholarly profile includes work within the broad area of precision agriculture. The researcher record identifies six documents, 61 citations, and an h-index of 4, providing a bibliometric basis for considering emerging research activity in plant science and agricultural innovation.[1]

Abstract

This article presents a scholarly recognition profile for Puranjit Singh in relation to the Emerging Plant Scientist Award. The profile focuses on documented bibliometric information, research activity, precision agriculture, publication output, and potential relevance to contemporary plant science. The available researcher information provides a concise basis for evaluating emerging academic contributions.[1]

Keywords

  • Plant Science
  • Precision Agriculture
  • Agricultural Research
  • Plant Biotechnology
  • Agricultural Innovation
  • Emerging Scientist

Introduction

Plant science increasingly integrates biological knowledge with digital agriculture, sensing, data analysis, and resource-efficient production systems. Precision agriculture provides an interdisciplinary framework for improving crop management through measurement and targeted decision-making. Within this context, emerging researchers contribute by developing evidence-based approaches that connect plant science with practical agricultural challenges and technological innovation.[2]

Research Profile

Puranjit Singh is affiliated with the University of Delaware and is identified in Scopus under Author ID 58852852500. The available record reports six documents, 61 citations, and an h-index of 4. These indicators describe an early-stage scholarly profile and provide measurable evidence of research dissemination and citation activity within the indexed academic literature.[1]

Research Contributions

Research associated with precision agriculture can contribute to plant science by supporting more accurate crop monitoring, efficient resource use, and data-informed management. Singh’s documented publication activity places the researcher within a developing scholarly profile relevant to this interdisciplinary field. The contribution assessment should consider individual publications, methods, findings, and demonstrated scientific relevance.[1][2]

Publications

The available Scopus profile records six scholarly documents associated with Puranjit Singh. Publication records provide an important basis for evaluating research development, subject relevance, collaboration, and scholarly communication. A detailed assessment should distinguish peer-reviewed research articles from other indexed document types and examine the methodological and scientific significance of each publication.[1]

Research Impact

The reported 61 citations and h-index of 4 provide quantitative indicators of the visibility of Singh’s indexed scholarly work. Bibliometric measures can help describe research reach, although they should be interpreted alongside publication quality, disciplinary context, collaboration, and practical outcomes. Research impact in precision agriculture may also include contributions to improved agricultural decision-making and resource efficiency.[1][2]

Award Suitability

The Emerging Plant Scientist Award is potentially relevant to a researcher demonstrating developing scholarly activity in plant science and related agricultural disciplines. Singh’s affiliation, indexed publication record, citation activity, and subject alignment with precision agriculture provide documented factors for consideration. Final award suitability should be determined according to the official assessment criteria and submitted evidence.[1][3]

Conclusion

Puranjit Singh’s documented academic profile reflects an emerging research trajectory associated with the University of Delaware and precision agriculture. Six indexed documents, 61 citations, and an h-index of 4 provide measurable indicators of scholarly activity. Together with subject alignment, these records establish a reasonable evidence base for consideration within an emerging plant scientist recognition framework.[1]

References

  1. Towards real-time weed detection and segmentation with lightweight CNN models on edge devices.
    https://www.researchgate.net/publication/392315558_Towards_real-time_weed_detection_and_segmentation_with_lightweight_CNN_models_on_edge_devices
  2. Computer Vision for Site-Specific Weed Management in Precision Agriculture: A Review.
    https://www.mdpi.com/2077-0472/15/21/2296
  3. Image-based blueberry yield prediction by integrating object detection and vision foundation models.
    https://www.researchgate.net/publication/412238491_Image-based_blueberry_yield_prediction_by_integrating_object_detection_and_vision_foundation_models

Gurpreet Singh | Precision Agriculture | Best Paper Award

Published on by Plant Scientist

Mr. Gurpreet Singh | Precision Agriculture | Best Paper Award

Guru Nanak Dev University | India

Author Profile

Orcid ID

Google Scholar

Early Academic Pursuits

Gurpreet Singh’s academic journey began with a foundational focus on computer engineering and information technology. He completed his high school in 2003 from St. Bawra Public High School, Ludhiana, with a commendable aggregate. His passion for computing led him to pursue a Diploma in Computer Engineering from L.L.R.M. Polytechnic, Ajitwal, affiliated with PSBTE Chandigarh. Further, he earned a B.Tech in Information Technology from DAV Institute of Engineering and Technology. He continued his specialization with an M.Tech in Computer Engineering from University College of Engineering, Punjabi University, Patiala. Currently, he is pursuing a Ph.D. in Computer Engineering and Technology at Guru Nanak Dev University, Amritsar, with his research work already submitted.

Professional Endeavors

Gurpreet Singh’s professional trajectory showcases an integration of academic rigor and technical involvement. He has guided multiple postgraduate dissertations, supervised research projects, and actively contributed to academic conferences and seminars. His work primarily centers around the fields of wireless sensor networks, mobile agent systems, VANETs, and IoT technologies. He has participated in national-level NSS camps and actively involved himself in blood donation and technical workshops, indicating both community engagement and technical commitment.

Contributions and Research Focus

With a clear research emphasis on Wireless Sensor Networks (WSNs), Mobile Ad-hoc Networks (MANETs), Internet of Things (IoT), and mobile agent systems, Gurpreet Singh has authored 37 publications including numerous peer-reviewed conference papers and journal articles. His M.Tech thesis involved the performance evaluation of routing protocols in WSNs, laying a foundation for his future research. He has addressed fault tolerance, mobility, energy efficiency, and security in networked systems. He has also co-authored research focused on fuzzy-based clustering algorithms, simulation tools, and smart agriculture applications involving UAVs and IoT integration.

Impact and Influence

Gurpreet Singh’s influence is evident through his consistent academic contributions and mentorship. He has supervised more than six postgraduate dissertations, with two ongoing as of 2023. His research has been featured in several prestigious national and international conferences such as IEEE, Elsevier-sponsored events, and conferences held at institutions like NIT Hamirpur, JNU Delhi, and Amity University. His focus on applied networking protocols and simulation-based studies has provided practical insights into modern communication systems.

Academic Citations

Although specific citation metrics such as h-index or citation count were not listed, Gurpreet Singh’s involvement in IEEE Xplore and Elsevier indexed publications reflects a growing academic presence. His recent works, including a study on VANET mobility models and UAV applications in agriculture, highlight topics of current relevance and are likely to gain traction in the research community.

Technical Skills

Gurpreet Singh is proficient in several programming languages including C, C++, Python, and Java. His technical toolkit includes web technologies such as HTML, DHTML, and JavaScript, as well as design and multimedia tools like Photoshop and Flash. Notably, he has hands-on experience with networking and simulation tools including Packet Tracer, Qualnet, Netsim, NS2/NS3, and OMNET++, which support his research in network systems and communication technologies. Additionally, he possesses practical knowledge of CCNA concepts, data structures, and machine learning using Python.

Teaching Experience

As part of his academic engagement, Gurpreet Singh has been actively involved in postgraduate student supervision and project mentoring. His teaching interests align with his research expertise, allowing him to integrate practical simulation and real-world applications into the curriculum. He has guided numerous M.Tech dissertations at Guru Nanak Dev University, and his mentorship has covered diverse topics such as mobile agent security, VANET routing, and energy-aware protocols.

Legacy and Future Contributions

Gurpreet Singh’s academic and technical foundation positions him well for long-term contributions in the field of computer networks and IoT-driven applications. With his doctoral work nearing completion, he is expected to further expand his research portfolio through publications, collaborative projects, and possibly patent filings. His work on simulation environments and real-time communication systems could play a significant role in the evolution of smart infrastructure and mobile computing. His focus on next-generation networks, energy-efficient systems, and secure communication models also align with global research trends and sustainable technology development.

Publications

Revolutionizing cloud-IoT and UAV-assisted framework to analyze soil for cultivation in agricultural landscapes
  • Authors: Gurpreet Singh; Sandeep Sharma
    Journal: Proceedings of the Indian National Science Academy
    Year: 2025
Learning Strategies for Promoting Cybersecurity Awareness among Students: A Brief Review
  • Authors: Kumari Sarita; Kashish; Pritpal Singh; Gurpreet Singh; Satinder Kaur
    Journal: International Journal For Multidisciplinary Research
    Year: 2025
 Optimizing early diagnosis by integrating multiple classifiers for predicting brain stroke and critical diseases
  • Authors: Ravnoor Singh; Satinder Kaur; Gurpreet Singh; Mehakdeep Kaur; Parminder Kaur
    Journal: Scientific Reports
    Year: 2024
A comprehensive review on the Internet of Things in precision agriculture
  • Authors: Gurpreet Singh; Sandeep Sharma
    Journal: Multimedia Tools and Applications
    Year: 2024

 

Wang Peng | Precision Agriculture | Best Innovation Award

Published on by Plant Scientist

Assoc. Prof. Dr. Wang Peng | Precision Agriculture | Best Innovation Award

Huazhong Agricultural University | China

Author Profile

Scopus
Google Scholar

🌟  Suitable for this Best Innovation Award

Dr. Wang Peng has developed innovative technologies at the intersection of micro/nano-manufacturing, robotics, biosensing, and precision agriculture. His research into Triboelectric Nanogenerators (TENGs), photonic biosensors, and portable spectrum devices directly addresses modern challenges in smart agriculture, environmental monitoring, and wearable sensing systems. The originality and real-world applicability of his work exemplify research with high translational value.  Dr. Wang Peng exemplifies the spirit of the Research for Best Innovation Award through his novel contributions, interdisciplinary approach, and societal impact. His work bridges theoretical advancement and practical innovation in a way that addresses global challenges such as food security, energy sustainability, and smart sensing. With a strong academic pedigree, leadership in high-value projects, and a consistent record of top-tier publications, Dr. Peng is not only suitable but highly deserving of recognition through this prestigious award.

🎓 Education 

Dr. Wang Peng holds a Ph.D. in Mechatronic Engineering from Huazhong University of Science and Technology (HUST), completed between 2010 and 2017. He pursued a Joint Ph.D. program from 2014 to 2016 at the University of Illinois at Urbana-Champaign (UIUC), enriching his global academic exposure. Dr. Peng also earned a B.A. in English (HUST, 2010) and a B.E. in Mechanical Engineering and Automation (Wuhan University of Technology, 2010). This diverse academic background has empowered his multidisciplinary approach to smart agriculture, mechatronics, photonic sensing, and micro/nano technologies.

 💼  Professional Experience

Dr. Wang has been serving as Associate Professor at Huazhong Agricultural University since 2020. Prior to this, he completed postdoctoral research at HUST’s School of Mechanical Science and Engineering (2017–2020). His academic journey includes a collaborative research stint at Purdue University’s Birck Nanotechnology Center in 2016. Through over a decade of professional experience, he has led and contributed to major national and international research projects in micro/nano-manufacturing, tactile sensing, and precision farming technologies. His multidisciplinary and applied research approach bridges the gap between advanced sensing technology and smart agriculture deployment.

🏅 Awards and Recognition 

Dr. Wang Peng has earned numerous research grants and honors. These include the NSFC Youth Program, China Postdoctoral Science Foundation Grant, and awards from Hubei Province and Wuhan City Innovation Programs. His selection as a lead researcher in the Excellent Young Scientist Training Program and his affiliation as a senior member of the Chinese Society of Micro and Nano Technology highlight his recognition in the scientific community. He has consistently secured competitive funding for pioneering work on photonic chips, triboelectric nanogenerators, and biosensors. His innovative contributions in agricultural sensing have positioned him as a leader in smart agricultural research in China and beyond.

🌍Research skills On Agriculture

Dr. Wang specializes in micro/nano fabrication, photonic biosensing, triboelectric nanogenerators, robotic tactile sensing, and integrated smart agriculture systems. He is particularly focused on creating self-powered, portable, and real-time agricultural diagnostic tools. His research bridges precision engineering with crop health monitoring, enabling predictive analytics and real-time field decisions. He skillfully integrates interdisciplinary technologies—ranging from stretchable electronics to machine vision—for intelligent farming. His ability to conceptualize, prototype, and field-test scalable devices makes his work highly innovative and applicable in real-world agriculture scenarios. He is a frequent contributor to high-impact journals and consistently delivers results from concept to deployment.

📖Publications

Triboelectric-electromagnetic hybrid wind energy harvesting and multifunctional sensing device for self-powered smart agricultural monitoring

  • Authors: W. Peng, Q. Ni, R. Zhu, X. Fu, X. Zhu, C. Zhang, L. Liao

  • Journal: Nano Energy

  • Year: 2024

Polyethylene imine-modified photonic crystal microfluidic chip for highly sensitive detection of microbial spores

  • Authors: W. Peng, Y. Zhang, C. Yi, Q. Liao

  • Journal: Food Chemistry

  • Year: 2024

A flexible nanostructured multimodal sensor based on surface plasmon resonance

  • Authors: W. Peng, X. Pan, J. Yu, L. Liao

  • Journal: Optics Communications

  • Year: 2024

Functional Tactile Sensor Based on Arrayed Triboelectric Nanogenerators

  • Authors: W. Peng, R. Zhu, Q. Ni, J. Zhao, X. Zhu, Q. Mei, C. Zhang, L. Liao

  • Journal: Advanced Energy Materials

  • Year: 2024

3D Porous Silicon Carbide SERS Microfluidic Chip for Pesticide Residue Detection

  • Authors: W. Peng, C. Yi, L. Wang, Y. Zhang, Q. Liao

  • Journal: ACS Agricultural Science & Technology

  • Year: 2024

Silver coated PS microsphere array SERS microfluidic chip for pesticide detection

  • Authors: W. Peng, Z. Xu, C. Yi, Y. Zhang, Q. Liao

  • Journal: Heliyon

  • Year: 2024