Sumit Aggarwal | Mycology | Editorial Board Member

Editorial Board Member

Sumit Aggarwal
ICAR-INDIAN INSTITUTE OF PULSES RESEARCH

Sumit Aggarwal
Affiliation ICAR-INDIAN INSTITUTE OF PULSES RESEARCH
Country India
Scopus ID 57566266800
Documents 29
Citations 379
h-index 9
Subject Area Mycology
Event International Plant Scientist Awards
ORCID 0000-0002-2411-6492

Sumit Aggarwal is associated with ICAR-INDIAN INSTITUTE OF PULSES RESEARCH and has contributed to agricultural engineering, crop improvement, and digital agricultural technologies. His scholarly work encompasses crop processing systems, precision agriculture, disease diagnostics, and maize genetics. His research profile demonstrates interdisciplinary engagement supporting sustainable agricultural productivity and innovation.[1]

Abstract

This article presents an academic overview of Sumit Aggarwal, highlighting his contributions to agricultural engineering, crop disease diagnostics, grain processing technologies, and maize genetics. His research portfolio reflects practical and scientific advancements that support agricultural productivity, sustainable farming systems, and technology-driven crop management approaches.[1][2]

Keywords

  • Mycology
  • Agricultural Engineering
  • Maize Research
  • Deep Learning
  • Crop Disease Detection
  • Grain Drying Technology
  • Plant Science
  • Genomics

Introduction

Sumit Aggarwal has developed a research portfolio spanning agricultural engineering, machine learning applications in crop health monitoring, and maize genetic improvement. His work integrates technological innovation with field-based agricultural challenges, contributing to efficient crop production systems and enhanced scientific understanding of yield-related traits in maize populations.[1][2][3]

Research Profile

The research profile of Sumit Aggarwal demonstrates interdisciplinary expertise across agricultural machinery design, crop phenotyping, artificial intelligence applications, and plant breeding. His scholarly output reflects a combination of experimental validation, computational techniques, and practical agricultural solutions aimed at improving productivity and resource-use efficiency.[1][2]

Research Contributions

His contributions include the development of a humidity-responsive maize cob drying system, implementation of deep learning models for automated maize disease diagnosis, and genomic investigations using advanced backcross populations. These studies collectively support agricultural mechanization, precision crop management, and genetic enhancement strategies for sustainable production.[1][2][3]

Publications

Published studies authored or co-authored by Sumit Aggarwal address crop processing technologies, computer vision applications in agriculture, and maize genomic research. These publications contribute evidence-based findings that support innovation in agricultural engineering, disease detection systems, and breeding programs targeting improved crop performance.[1][2][3]

Research Impact

The impact of his research is reflected through citations, scholarly engagement, and practical agricultural relevance. His studies facilitate improved post-harvest management, support rapid disease diagnosis through artificial intelligence, and provide genetic resources useful for crop improvement programs and future breeding initiatives.[1][2][3]

Award Suitability

The multidisciplinary nature of Sumit Aggarwal’s research aligns with the objectives of the International Plant Scientist Awards. His contributions to agricultural innovation, crop improvement technologies, and applied scientific research demonstrate qualities commonly recognized in international academic and professional excellence programs.[1][2]

Conclusion

Sumit Aggarwal’s academic activities encompass agricultural engineering innovations, intelligent crop health assessment systems, and maize genetics research. Through interdisciplinary scholarship and practical applications, his work contributes to advancing agricultural science and supports broader efforts toward sustainable and technology-enabled crop production systems.[1][2][3]

References

    1. Teosinte-Derived Advanced Backcross Population Harbors Genomic Regions for Grain Yield Attributing Traits in Maize
      https://orcid.org/0000-0002-2411-6492
    2. Elsevier. (n.d.). Scopus author details: Sumit Aggarwal, Author ID 57566266800. Scopus.
      https://www.scopus.com/authid/detail.uri?authorId=57566266800
    3. Deep learning-based approach for identification of diseases of maize crop
      https://scholar.google.com/citations?user=upphJKUAAAAJ&hl=en&oi=sra

Temitope Folorunso | Fungal Ecology | Best Researcher Award

Ms. Temitope Folorunso | Fungal Ecology | Best Researcher Award

Auburn University | United States

Temitope Ruth Folorunso is a dedicated fungal genomics and molecular biology researcher pursuing her Ph.D. in Forestry, Wildlife, and Environment at Auburn University, U.S.A., with a Graduate Certificate in Computational Biology. She earned an M.Sc. in Zoology (Molecular Genetics) with Distinction (2020) and a B.Sc. in Biology (Education) with top honors (2016) from Obafemi Awolowo University, Nigeria. Her research explores the genetic variants, evolutionary history, and virulence mechanisms of fungal pathogens, particularly Lecanosticta acicola, the causal agent of brown spot needle blight in loblolly pine, integrating genomics, phylogenetics, and molecular biology to advance forest health and disease management. Folorunso has authored and co-authored multiple peer-reviewed articles and book chapters (h-index: 1, citations: 2), demonstrating impactful contributions across plant pathology, molecular genetics, and sustainable agriculture. Her academic career includes teaching positions as a Lecturer at Adeyemi University of Education, Nigeria, and research assistantships at Auburn University. She has received numerous awards and fellowships, including the John Deere Graduate Fellowship, MANRRS Gold Scholarship, Kykenkee Fellowship, and recognition as an Outstanding Graduate Student Senator. Passionate about advancing fungal biology, plant-microbe interactions, and sustainable food systems, she continues to make significant contributions bridging science and application for global impact.

Profile:  Google Scholar

Featured Publications

Advancements in Biotechnology for Early Disease Detection: Integrating Biosensors and Genomic Technologies to Improve Health Outcomes. International Journal of Advanced Research in Engineering and Technology.

Identification of Carboxylesterase Genes and their Expression Profiles in Conferring Resistance to Commonly Used Pesticides in Zonocerus variegatus (Linnaeus, 1758).

Innovative Practices in Sustainable Agriculture: The Role of Precision Farming and Regenerative Techniques in Reducing Environmental Impact.

Effective Control and Eradication of Invasive Exotic Plant Species: An Imperative Tool for the Protection of Our Forest Reserves.