Yilin Yuan | Crop Science | Innovative Research Award

Innovative Research Award

Β  Β  Β  Β  Β  Β  Β  Β  Β  Β  Yilin Yuan
Affiliation National University of Singapore
Country Singapore
Scopus ID 60646801600
Documents 2
Subject area Advances in Crop Science and Agronomy
Event International Food Scientist Awards
ORCID 0009-0002-4255-0281

Yilin Yuan
National University of Singapore Β· Singapore

Yilin Yuan is identified in the supplied researcher information as an academic researcher affiliated with the National University of Singapore, Singapore. The research subject associated with this recognition is advances in crop science and agronomy, a field concerned with crop production, plant development, agricultural practices, and the scientific management of resources. The Innovative Research Award, presented under the International Food Scientist Awards, provides a framework for recognizing research contributions relevant to scientific progress and food-related disciplines. The researcher’s bibliographic information can be consulted through the supplied Scopus author profile and ORCID record. (1) (2)

Abstract

This article presents an academic recognition profile for Yilin Yuan, whose supplied institutional affiliation is the National University of Singapore. The profile records the Innovative Research Award category, the associated subject area of advances in crop science and agronomy, and the available researcher identifiers. The provided Scopus record lists two documents. Citation totals, h-index, individual publication details, and specific award assessment results have not been supplied and are therefore not inferred. (1)

Keywords

Yilin Yuan; Innovative Research Award; crop science; agronomy; agricultural research; food science; crop production; research recognition; Singapore; scientific publications.

Introduction

Crop science and agronomy examine the biological, environmental, and practical factors influencing crop growth and agricultural productivity. Research in these disciplines can contribute to crop management, resource efficiency, agricultural resilience, and food-system development. Evaluating contributions requires attention to the methods used, the reliability of findings, and their relevance to scientific or practical challenges. General disciplinary context should be distinguished from verified findings attributable to an individual researcher. (3)

Research Profile

The supplied profile identifies Yilin Yuan through Scopus author ID 60646801600 and ORCID identifier 0009-0002-4255-0281. These identifiers provide routes to bibliographic and researcher information. The institutional affiliation is recorded as the National University of Singapore. The supplied subject classification is advances in crop science and agronomy; more specific research interests should be established from verified publications rather than assumed from the broad subject description. (1) (2)

Research Contributions

Agronomy-related contributions may include experimental evaluation of crop performance, analysis of growing conditions, investigation of agricultural inputs, and development of evidence-based cultivation practices. However, the available details do not establish which methods, crops, experiments, or findings are specifically associated with Yuan. An accurate account of individual contributions requires examination of the relevant articles, their stated objectives, methodology, results, and conclusions. (3)

Publications

The supplied Scopus information indicates two documents associated with the researcher profile. Titles, publication years, journal names, author order, and digital object identifiers were not included in the supplied data. These details should be retrieved and checked against publisher records before an individual publication list is added. A DOI should be included only when its identifier and destination have been verified. (1) (4)

Research Impact

Research impact can be examined through scholarly publications, citations, methodological contributions, practical applications, and subsequent use of findings. The reported document count provides limited bibliographic context but does not independently demonstrate research quality or societal influence. Citation totals and h-index values are unavailable in the supplied information. Responsible assessment should consider research content alongside quantitative indicators and the context in which the work was produced.

Award Suitability

The Innovative Research Award is the recognition category specified for this profile within the International Food Scientist Awards. Crop science and agronomy can intersect with food science through crop quality, agricultural productivity, and the supply of raw materials for food systems. A substantiated assessment of award suitability should be based on documented originality, research rigor, relevance, and verifiable outputs. This profile records the nominated recognition context without asserting an independently verified judging outcome.

Conclusion

Yilin Yuan’s supplied academic profile connects the researcher with the National University of Singapore, Singapore, and the subject area of advances in crop science and agronomy. The available identifiers and document count provide a starting point for further verification. Confirmed publication records, research findings, and award documentation would support a more detailed assessment of individual contributions and scholarly impact.

References

  1. Elsevier. (n.d.). Scopus author details: Yilin Yuan, Author ID 60646801600. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=60646801600
  2. ORCID. (n.d.). Yilin Yuan researcher identifier. ORCID.
    https://orcid.org/0009-0002-4255-0281
  3. Genome-Wide Identification of the CmABF Gene Family in Melon (Cucumis melo L.) and Their Response to Ozone and ABAGenome-Wide Identification of the CmABF Gene Family in Melon (Cucumis melo L.) and Their Response to Ozone and ABA.
    https://www.mdpi.com/2311-7524/12/9/1106
  4. Systemic coordination of hormonal and microbial networks underlies nano-TiO2-mediated alleviation of heat-stress pithiness in radish.
    https://www.sciencedirect.com/science/article/pii/S2773111126000574
  5. International Food Scientist Awards. (n.d.). Official awards website.
    https://foodscientists.org/

JADESHA. G | Plant Pathology | Best Researcher Award

Assist. Prof. Dr. JADESHA. G | Plant Pathology | Best Researcher Award

ASSISTANT PROFESSOR atΒ  UNIVERSITY OF AGRICULTURAL SCIENCES, BANGALORE, India

Dr. Jadesha G. is an accomplished Assistant Professor of Plant Pathology at the University of Agricultural Sciences, Bengaluru. He specializes in integrating Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) with plant disease management strategies. His work focuses on predictive modeling, web-enabled forecasting tools, and host-pathogen interaction studies. With extensive expertise in plant defense mechanisms, pathogen diagnostics, and high-throughput phenotyping, he has made significant contributions to sustainable crop protection across varied agro-climatic zones in India.

Publications Profile

Scopus

πŸŽ“ Education Details

  • Ph.D. in Plant Pathology (2011–2014)
    Acharya N G Ranga Agricultural University, Hyderabad, Telangana, India
    Research conducted at Legumes Pathology, Grain Legumes, ICRISAT.

  • M.Sc. (Ag.) in Plant Pathology (2006–2008)
    Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India
    GPA: 9.12/10.0

  • B.Sc. in Agriculture (2002–2006)
    College of Agriculture, Raichur, University of Agricultural Sciences, Dharwad, Karnataka, India
    GPA: 8.52/10.0

πŸ‘©β€πŸ”¬ Professional Experience

  • Assistant Professor, Department of Plant Pathology
    University of Agricultural Sciences, Bengaluru
    Engaged in research, teaching, and extension activities focusing on AI-enabled plant disease diagnostics, epidemiology, host resistance screening, and eco-friendly plant protection.

🌱 Research Interests

  • Artificial Intelligence, Machine Learning & Deep Learning in plant disease prediction and image classification

  • Plant-pathogen interaction and host defense mechanisms

  • Epidemiology and disease forecasting models

  • Molecular and serological pathogen diagnostics (PCR, ELISA)

  • Resistance screening and high-throughput phenotyping

  • Biocontrol and botanicals for sustainable disease management

  • Predictive analytics using environmental and plant health datasets

  • Chromatographic profiling of antimicrobial compounds

πŸ† Awards and Honors

  • Patent Filed:
    Artificial Intelligence (AI) Integrated Hydroponic System and Method for Plant Health and Nutrient Management
    (Patent Application No: 202441071347)
    Co-inventors: Drs. Jadesha G., Deepak D., S. K. Bhat, Edel Castelino, Geda Siva Ram, Anurag Dhole.

  • Life Memberships in Professional Associations:

    1. Association of Plant Pathologists, Central India

    2. Plant Protection Association of India

    3. Institution of Agricultural Technologists (IAT), Bengaluru

    4. Indian Science Congress Association, Kolkata

πŸ” Conclusion

Dr. Jadesha G. is a forward-thinking scientist and academician whose interdisciplinary approach combines classical plant pathology with cutting-edge AI technologies. His contributions to plant disease diagnostics, digital agriculture, and host resistance have established him as a key innovator in agricultural sustainability and food security. Through academic excellence, impactful publications, and technology-driven solutions, he continues to serve the scientific community and farming sector with distinction.

Publications πŸ“š

πŸ“„ Article Title:
Revitalizing maize downy mildew management: harnessing new-generation fungicides and host plant resistance

✍️ Authors:
G. Jadesha,
M.S. Kitturmath,
P. Mahadevu (Puttaswamygowda),
H.C. Lohithaswa (Hirenalluru Chandappa),
D. Deepak

πŸ“š Journal:
BMC Plant Biology

πŸ“† Year:
2025

πŸ”“ Access:
Open Access

πŸ”— Publisher:
Springer Nature (BMC)

πŸ“Œ Citation Format (APA Style):
Jadesha, G., Kitturmath, M. S., Mahadevu, P., Lohithaswa, H. C., & Deepak, D. (2025). Revitalizing maize downy mildew management: Harnessing new-generation fungicides and host plant resistance. BMC Plant Biology. https://doi.org/xxxxx (replace with actual DOI)