Mohd. Sayeed Akhtar | Plant Pathology & Disease Management | Innovative Research Award

Innovative Research Award

Mohd. Sayeed Akhtar
Gandhi Faiz-e-Aam College

Mohd. Sayeed Akhtar
Affiliation Gandhi Faiz-e-Aam College
Country India
Scopus ID 7202578200
Documents 168
Citations 5,480
h-index 35
Subject Area Plant Pathology & Disease Management
Event Agri Scientist Awards
ORCID 0000-0003-0251-8279

Mohd. Sayeed Akhtar is presented in this academic recognition profile as a researcher associated with the Department of Botany at Gandhi Faiz-e-Aam College, Shahjahanpur, India. His stated research subject area is Plant Pathology and Disease Management, a field concerned with understanding plant diseases, their biological causes, epidemiology, diagnosis, prevention, and management. The supplied bibliometric information identifies 168 documents, 5,480 citations, and an h-index of 35 in the referenced Scopus author record. [1]

Abstract

Mohd. Sayeed Akhtar is identified with botanical research at Gandhi Faiz-e-Aam College, Shahjahanpur, India, with a stated specialization in Plant Pathology and Disease Management. The supplied Scopus profile records 168 documents, 5,480 citations, and an h-index of 35, indicating an established body of indexed scholarly work and measurable citation activity. His research profile is relevant to agricultural science because plant pathology addresses diseases that influence crop health, productivity, quality, and sustainable production. This article summarizes the supplied academic indicators, research orientation, publication profile, impact considerations, and suitability for consideration within the Agri Scientist Awards framework. [1]

Keywords

Mohd. Sayeed Akhtar, plant pathology, disease management, botany, agricultural science, crop health, plant diseases, phytopathology, sustainable agriculture, agricultural research, botanical research, disease diagnosis, disease control, crop protection, research impact.

Introduction

Plant pathology is an important component of agricultural research because diseases caused by fungi, bacteria, viruses, nematodes, and other biological or environmental factors can reduce crop performance and threaten food production. Research in disease management contributes to improved diagnosis, prevention, integrated management, and sustainable crop protection. The discipline also connects botanical knowledge with practical agricultural challenges. [2]

Research Profile

Mohd. Sayeed Akhtar is affiliated with the Department of Botany, Gandhi Faiz-e-Aam College, Shahjahanpur, India. The stated subject area, Plant Pathology and Disease Management, encompasses research concerned with the occurrence, identification, biology, epidemiology, and control of diseases affecting plants. Such research is closely connected with agricultural science because effective disease management supports crop health and can contribute to reducing production losses.

Research Contributions

Research in plant pathology and disease management can contribute to agriculture by improving knowledge of disease-causing organisms, host–pathogen interactions, disease development, diagnostic approaches, and management strategies. In an agricultural setting, these areas are important for maintaining crop health and productivity. The supplied subject classification therefore provides a clear disciplinary connection between Akhtar’s stated research profile and agricultural research. [2]

Publications

The supplied Scopus information attributes 168 documents to the identified author profile. This document count represents indexed scholarly output associated with Scopus Author ID 7202578200 and should be distinguished from a complete publication bibliography, which may include works outside Scopus or records requiring author-level verification. [1]

Research Impact

The supplied citation count of 5,480 and h-index of 35 indicate substantial citation activity within the stated Scopus author record. Citation indicators can assist in evaluating scholarly visibility, but they do not independently establish research quality, originality, societal benefit, or agricultural application. A balanced assessment should therefore combine bibliometric evidence with verified research outputs and documented contributions. [1]

Award Suitability

Based on the supplied affiliation, subject area, publication indicators, and stated specialization, Mohd. Sayeed Akhtar appears academically aligned with an agricultural research recognition category focused on plant health, crop protection, or plant pathology. The stated research area has a direct scientific relationship with agriculture through disease diagnosis, disease management, and protection of cultivated plants.

Conclusion

Mohd. Sayeed Akhtar’s supplied academic profile identifies a research orientation in Plant Pathology and Disease Management within a Department of Botany. The stated Scopus indicators of 168 documents, 5,480 citations, and an h-index of 35 provide measurable evidence of indexed scholarly activity. His subject area is directly relevant to agricultural research because plant disease management is an important component of crop protection and sustainable production. [1]

References

  1. Elsevier. (n.d.). Scopus author details: Mohd. Sayeed Akhtar, Author ID 7202578200. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=7202578200
  2. Antimicrobial Properties of Plant Essential Oils against Human Pathogens and Their Mode of Action: An Updated Review.
    https://doi.org/10.1155/2016/3012462
  3. Agri Scientist Awards. (2026). Official Award Website.
    https://agriscientist.org/
  4. ORCID. (n.d.). ORCID record: Mohd. Sayeed Akhtar, ORCID 0000-0003-0251-8279.
    https://orcid.org/0000-0003-0251-8279
  5. AMF-mediated mitigation of Cd-induced toxicity in Cicer arietinum and their influence on growth, photosynthesis efficiency, cell viability, antioxidants and yield attributes.
    https://doi.org/10.1016/j.sajb.2023.11.023

Latif Ahmad Peer | Plant Science | Best Researcher Award

Dr. Latif Ahmad Peer  | Plant Science | Best Researcher Award

Associate Professor at University of Kashmir, India

Dr. Latif Ahmad Peer is an Associate Professor in the Department of Botany at the University of Kashmir, specializing in plant morphogenesis and climate-smart agriculture. He earned his Ph.D. in Botany in 2022 with research focused on morphogenetic assessment in Zea mays L., contributing to sustainable agricultural practices. With over two decades of academic and teaching experience, Dr. Peer has served in various roles, progressing from Lecturer to Associate Professor since 2007.

Profile:

🎓 Academic Journey:

Dr. Latif Ahmad Peer earned his Ph.D. in Botany from the University of Kashmir in 2022, with a thesis titled “Morphogenetic assessment in Zea mays L. with reference to climate smart agriculture.” He also holds a Master’s degree in Botany (2003) and a Bachelor’s in Biology and Chemistry (2001).

👨‍🏫 Academic Roles & Experience:

With over 20 years of teaching and research experience, Dr. Peer currently serves as an Associate Professor in the Department of Botany, University of Kashmir. He has previously worked as a Lecturer and Assistant Professor, contributing significantly to both undergraduate and postgraduate education.

🔬 Research Focus:

His research interests center around climate-smart agriculture, morphogenetic plant analysis, and the adaptation of Zea mays L. (maize) to environmental stress, with an emphasis on improving crop resilience and sustainability.

🏛️ University Service & Leadership:

Dr. Peer plays an active role in the university’s academic and administrative activities:

  • Academic & Career Counsellor

  • Member of UG/PG Boards of Studies

  • Incharge of the Computer Lab & Department Auditorium

  • Member of Research and Admission Committees

🌱 Impact & Vision:

Dedicated to sustainable agricultural development and botanical innovation, Dr. Peer’s work contributes to environmentally adaptive farming practices in the Himalayan region and beyond.

Publication Top Notes:

  • Floral Induction Pathways: Decision Making and Determination in Plants to Flower – A Comprehensive Review

  • High Temperature Triggered Plant Responses From Whole Plant to Cellular Level

  • Potential Antioxidant Activity of Some Mushrooms Growing in Kashmir Valley

  • Traditional Uses, Phytochemistry, Pharmacology, and Toxicology of the Genus Artemisia L. (Asteraceae): A High-Value Medicinal Plant

  • Phenolic Content, Antioxidant and Allelopathic Potential of Artemisia brevifolia Wall. ex DC. Across the Elevations of Western Himalayan Region of Ladakh

  • Phytochemistry, Pharmacological Activities, and Ethnomedicinal Importance of the Highly Valuable Endangered Plant, Podophyllum hexandrum: A Comprehensive Review

  • Rhizosphere Mycobiome Diversity of Medicinal Plants: A Review

  • Genetic, Molecular and Physiological Crosstalk During Drought Tolerance in Maize (Zea mays): Pathways to Resilient Agriculture

  • Repurposing of Plant-Based Antiviral Molecules for the Treatment of COVID-19

  • Drought Stress-Induced Impact on Morpho-Physiological Traits in Maize Landraces of Kashmir

  • Phytochemistry, Biological Properties, Economic and Ecological Importance of Taraxacum officinale: A Review

  • Genetic Diversity Analysis in Maize Landraces Under Temperate Ecology

  • Phytochemistry, Biological Activity and Medicinal Importance of Urtica dioica: A Review

  • Self-Incompatibility Patterns and Signal Transduction

  • Medicinal Plants of the Himalayan Tral Region of Kashmir, India: An Ethnobotanical Study of Their Diversity, Use Patterns, and Health Implications

  • Maize Characterization: From Genotyping to High-Throughput Phenotyping

  • Effect of Plant Growth Promoting Bacillus Species on the Growth of Blue Pine Seedlings

  • Cowpea Wild Relatives for Cowpea Sustainability Through Introgression Breeding

  • Harnessing Phytohormone Dynamics to Fortify Crop Resilience Against Drought: A Comprehensive Review

  • Comprehensive Morphological Characterization of Cowpea (Vigna unguiculata (L.) Walp.) Genotypes for Enhanced Breeding Programs in Jammu and Kashmir

 

Ahoya Dèwanou Kant David | Plant disease | Best Researcher Award

Mr Ahoya  Dèwanou Kant David |  Plant disease |  Best Researcher Award

PhD Student at  University of Parakou, Benin Republic, Benin

Dèwanou Kant David AHOYA is a bilingual Agronomist and Plant Protection Expert based in Benin. He holds a Master’s Degree in Plant Biotechnology and is currently pursuing a PhD in Plant Protection at the University of Parakou. With extensive experience in the development of transboundary plant disease management strategies, he is dedicated to improving agricultural practices in West Africa. His work focuses on promoting certified seed use and supporting the growth of the seed sector to enhance food security and sustainability.

 

Publication Profile

Education:

  • Ph.D. Candidate in Plant Protection (2022–Present)
    Doctoral School of Agricultural and Water Sciences (ED-SAE), University of Parakou (UP)
  • Master’s in Plant Biotechnology and Plant Improvement (2021)
    Doctoral School of Life and Earth Sciences (ED-SVT), Abomey-Calavi University (UAC)
  • Bachelor’s in Plant Production Sciences and Techniques (2016)
    Faculty of Agricultural Sciences (FSA), Abomey-Calavi University (UAC)

Professional Experience:

  • Junior Consultant (March 2024 – Present)
    Supporting the professionalization of sustainable seed chains for climatic resilience, with monitoring and advisory roles in the seed sub-sector under PADAAM/ProCaR.
  • Junior Technical Assistant (March 2022 – Feb 2024)
    Provided support for innovative agricultural technologies, including the development of Farmers’ Field Schools on certified seeds and sustainable land management techniques like biochar, as part of the IFAD Framework Programme in rural Benin.
  • Laboratory Technician (Jan 2019 – Jan 2022)
    Contributed to plant biotechnology projects focused on the production of pineapple and cassava vitroplants under the LCBVAP/PROCAD World Bank-funded project. Educated farmers about viral diseases and their impact on cassava crops.

Key Skills:

  • Transboundary Plant Disease Management
  • Seed Sector Development
  • Agricultural Technology Dissemination
  • Farmer Training and Education
  • Plant Biotechnology

Publication Top Notes

Factors Influencing Adoption of the PlantVillage Nuru Application for Cassava Mosaic Disease Diagnosis Among Farmers in Benin
Agriculture, 2024-11-07 | DOI: 10.3390/agriculture14112001
Contributors: Dèwanou Kant David Ahoya, Eveline Marie Fulbert Windinmi Sawadogo-Compaore, Jacob Afouda Yabi, Martine Zandjanakou-Tachin, Jerome Anani Houngue, Serge Sètondji Houedjissin, Justin Simon Pita, Corneille Ahanhanzo

 

Amar Singh | Plant Disease | Best Researcher Award

Dr Amar Singh | Plant Disease | Best Researcher Award

Professor Amar Singh, Lovely Professional University, India

Professor Amar Singh is a distinguished academic affiliated with Lovely Professional University in India. He is recognized for his expertise and contributions to [specific field/department]. With a strong educational background and extensive research experience, Professor Singh has made significant strides in [mention specific areas of research or teaching]. He is committed to fostering innovation and excellence in academia, contributing to the university’s mission of providing high-quality education and research opportunities.

Profile: Plant Disease 

Google Scholar

Education

  • Ph.D. in Computer Science & Engineering from IKG Punjab Technical University, Jalandhar (2018).
  • M.Tech. in Information Technology from M. M. Engineering College, Mullana (2009).
  • M.Sc. in Computer Science (Software) from Kurukshetra University, Kurukshetra (2007).
  • Bachelor of Computer Applications (B.C.A.) from Kurukshetra University, Kurukshetra (2004).

Professional experience

  • Working as Professor in the Department of Computer Applications, Lovely
    Professional University, Phagwara, Jalandhar (Punjab), INDIA. w.e.f. 13
    December 2021.
  • Worked as Associate Professor in the Department of Computer Applications,
    Lovely Professional University, Phagwara, Jalandhar (Punjab), INDIA. from
    9th July 2018 to 12 December 2021.
  • Worked as Assistant Professor in the Department of Computer Science &
    Engineering, Baddi University of Emerging Sciences & Technology, Baddi,
    Distt. Solan (Himachal Pradesh) INDIA. from 3rd March 2015 to 5th July 2018.
  • Worked as Assistant Professor in the Department of Computer Science &
    Engineering, Yamuna Institute of Engineering & Technology, Distt.
    Yamunanagar (Haryana) INDIA. w.e.f. 13th August 2014 to 2nd March. 2015.
  • Worked as Assistant Professor in the Department of Computer Science &
    Engineering , Surya World, Institutions of Academic Excellence, Distt. Patiala
    (Punjab) INDIA. From 19th Nov. 2013 to 12 Aug. 2014.
  • Worked as a Lecturer in in the Department of Computer science & Engineering,
    Institute of Science & Technology Klawad, Distt. Yamunanagar (Haryana)
    INDIA. From 4th Nov. 2009 to 18th Nov. 2013.

Research Focus

  • Artificial Intelligence,
  • Machine Learning,
  • Soft Computing,
  • Artificial Intelligence in Agriculture,
  • Precision Agriculture

 

Award and Honors

Best Paper Award for the paper titled Plant Image Classification: State of Art”, International Conference on innovation, Research and challenges in Emerging Technologies, Panipat Institute of Engineering & Technology, Panipat, 19 November – 20 November 2021.

Publication and Top Notes

  1. Ghosh, Sukanta, Amar Singh, and Shakti Kumar. “HPB3C-3PG algorithm: A new hybrid global optimization algorithm and its application to plant classification.” Ecological Informatics, Elsevier, 31 March, 2024, p. 102581.
  2.  Amar Singh, Shakti Kumar, Ajay Singh, Rahul Sharma, “Pollination Based Optimization: A New Global Optimization Algorithm and its Application to Paddy Disease Detection”, International Journal of Innovation in Multidisciplinary Scientific Research (IJIMSR), Vol. 1, Issue 1, 20 September 2023, pp. 52-65.
  3. Sartaj Singh, Amar Singh, “An Enhanced Authenticated Key Agreement Scheme for Cloud-Based IoT in Wireless Sensor Networks”, International Journal of Electrical and Electronics Research, Volume 11, Issue 4, 20 November 2023, pp. 1030-1038
  4. Sukanta Ghosh, Amar Singh, Shakti Kumar, “BBBC-U-Net: Optimizing U-Net for automated plant phenotyping using big bang big crunch global optimization algorithm”, International Journal of Information Technology, Springer, Vol. 15, 13 September 2023, pp. 4375-4387.
  5. Kanish Bansal, Amar Singh, “Development of VGG-16 transfer learning framework for geographical landmark recognition”, Intelligent Decision Technologies, Vol. 17, No. 3, July 2023, pp. 799-810.
  6. Kanishk Bansal, Amar Singh, “A new parallel bat colony optimization algorithm and its application for evolving CNN architectures with artificial selection”, Soft Computing, Springer, 6 July 2023, https://doi.org/10.1007/s00500-023-08846-x
  7. Rahul Sharma, Amar singh, “VGG16 feature selection using PCA-big bang big algorithm“, Journal of Intelligent & Fuzzy Systems, vol. 45, no. 1, 2 July 2023, pp. 1437-1451.
  8. Sukanta Ghosh, Amar Singh, Shakti Kumar, “PB3C-CNN: An integrated Parallel Big Bang-Big Crunch and CNN based approach for plant leaf classification”, INTELIGENCIA ARTIFICIAL, Vol. 26, Issue 72, June 2023, pp. 15-29.
  9. Gaurav Kumar, Amar Singh, Ashok Kumar, “Ensemble Deep Learning Network Model for Dropout Prediction in MOOCs”, International Journal of Electrical and Computer Engineering Systems, Vol. 14, Issue 2, January 2023, pp. 187 – 196