Md Ashraful Haque | Precision Agriculture | Best Researcher Award

Dr. Md Ashraful Haque | Precision Agriculture | Best Researcher Award

ICAR Indian Agricultural Statistics Research Institute | India

Dr. Md. Ashraful Haque is a Scientist in the Division of Computer Applications at ICAR-Indian Agricultural Statistics Research Institute, New Delhi, with over five years of professional experience in artificial intelligence applications in agriculture. He earned his M.Sc. (2016) and Ph.D. (2022) in Computer Applications from ICAR-Indian Agricultural Research Institute under the supervision of Dr. Sudeep Marwaha. His research focuses on artificial intelligence, machine learning, deep learning, computer vision, and digital as well as hyperspectral image processing for solving complex agricultural problems such as crop disease detection, pest identification, stress analysis, and livestock image interpretation. He has published 20 journal articles, 4 book chapters, and 2 computational tools, with his research gaining wide recognition (h-index: 8, 339 citations). Dr. Haque has contributed to international collaborations with IIT Delhi, ICAR institutes, and several universities, and has developed impactful digital tools like AIDISC and WIAYFS. He is the recipient of prestigious fellowships and awards, including the Maulana Azad National Fellowship, ICAR-JRF, IARI Ph.D. Fellowship, and Nehru Memorial Gold Medal. With strong expertise in AI-driven agriculture, he continues to innovate toward sustainable farming solutions. His work demonstrates high relevance, impact, and future research potential in smart agriculture.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

“MuSiC V1.0: A Software Solution for Automated Mustard Silique Count Using YOLOv5”
“An enhanced vision transformer network for efficient and accurate crop disease detection”

“PanicleDet: a deep learning-based model for detection of panicle stages in paddy”

“A comparative analysis of deep learning-based techniques for miRNA prediction associated with mRNA sequences”

“ADNet: An Attention Embedded DenseNet121 Model for Weed Classification”

“Convolution Neural Network (CNN)-Based Live Pig Weight Estimation in Controlled Imaging Platform”
“Rice Disease Identification Using Vision Transformer (ViT) Based Network”

Adane Gebeyehu | Plant Breeding | Best Researcher Award

Dr. Adane Gebeyehu | Plant Breeding | Best Researcher Award

Swedish University of Agricultural Sciences | Sweden

Dr. Adane Gebeyehu Demissie is a distinguished plant genomics and biotechnology researcher with over 12 years of experience advancing genomic innovations for crop improvement. He holds a PhD in Biotechnology from Addis Ababa University in collaboration with the Swedish University of Agricultural Sciences (SLU), an MSc in Plant Biotechnology from Wageningen University, and an MSc in Plant Breeding from Bahir Dar University. His research integrates genomics-assisted breeding, QTL mapping, GWAS, genomic selection, RNA-seq, and CRISPR-Cas9 gene editing to develop climate-resilient oilseed and cereal crops. With an h-index of 3, more than 23 citations, and over 4 scientific documents, Dr. Demissie has published extensively in high-impact journals including Scientific Reports, Frontiers in Plant Science, and Agronomy. His professional experience spans postdoctoral research at SLU, senior research roles at Ethiopia’s Bio and Emerging Technology Institute, and lecturing positions where he designed the first BSc curriculum in Agricultural Biotechnology in Ethiopia. He has secured competitive grants from Carl-Tryggers Foundation, Sida-SLU, and the Ethiopian Science Foundation, and received prestigious recognitions such as the Young Scientist Award from the Ethiopian Academy of Sciences. Passionate about mentoring and policy development, Dr. Demissie continues to bridge cutting-edge genomics with agricultural innovation to enhance global food security.

Profiles: Scopus | Orcid

Featured Publications

“Transcriptome analysis identifies genes regulating self-compatibility, flowering time, and oil biosynthesis in Noug (Guizotia abyssinica)”

“SNP-based linkage mapping reveals novel quantitative trait loci for yield traits in noug (Guizotia abyssinica (L. f.) Cass.)”

“Temperature affects major fatty acid biosynthesis in noug (Guizotia abyssinica) self-compatible lines”

“Sesame, an Underutilized Oil Seed Crop: Breeding Achievements and Future Challenges”

“RNA-Seq Provides Novel Genomic Resources for Noug (Guizotia abyssinica) and Reveals Microsatellite Frequency and Distribution in Its Transcriptome”

Saliha Ahmad | Plant Ecology | Best Researcher Award

Ms. Saliha Ahmad | Plant Ecology | Best Researcher Award

Case Western Reserve University | United States

Saliha Ahmad is a PhD candidate in Biology whose research focuses on plant–microbe interactions, particularly microbial community dynamics under biotic and abiotic stresses. She has an h-index of 5, with approximately 193 citations to date (Google Scholar, ResearchGate). With an MPhil and MSc in Plant Sciences (both top-grade) and a strong undergraduate foundation in chemistry, botany, and zoology, she is currently pursuing her doctoral studies at Case Western Reserve University. Her expertise spans field sampling, molecular biology techniques such as DNA/RNA extraction, sequencing, gene expression, and bioinformatics, including microbial diversity analyses and statistical modeling in R (ResearchGate). Her research interests include the influence of water and nutrient stress on beneficial microbial assembly, microbial detoxification of pesticides, soil microbiome roles in plant health, and applications for sustainable agriculture and conservation. She has contributed publications on microbial detoxification of dimethoate, heavy metal biosorption by bacteria, and the role of poultry manure in crop growth and yield (ResearchGate, American Chemical Society Publications). She has also been recognized with multiple grants and awards for research excellence, travel, and merit, highlighting her growing recognition in the field (ResearchGate). Overall, Saliha Ahmad represents an emerging scholar who integrates empirical, laboratory, and computational approaches to address pressing challenges at the interface of microbiology, ecology, and agriculture, with a steadily increasing global impact reflected in her publications and citations.

Featured Publications

“Bacillus thuringiensis PM25 ameliorates oxidative damage of salinity stress in maize via regulating growth, leaf pigments, antioxidant defense system, and stress …”

“Effects of poultry manure on the growth, physiology, yield, and yield-related traits of maize varieties”

“Microbial detoxification of dimethoate through mediated hydrolysis by Brucella sp. PS4: molecular profiling and plant growth-promoting traits”

“Dimethoate residues in Pakistan and mitigation strategies through microbial degradation: a review”
“Biosorption potential of Bacillus anthracis PM21 for the sequestration of cadmium, chromium, and nickel from contaminated water”

“Fungal communities driven by Rhododendron species correlate with pathogen protection against Phytophthora cinnamomi”

Sonali Rajput | Plant Breeding | Best Researcher Award

Ms. Sonali Rajput | Plant Breeding | Best Researcher Award

HNBGU-Srinagar, Uttarakhand | India

Author Profile

Orcid ID
Google Scholar

🌟  Suitable for this Best Researcher Award

Dr. Sonali Rajput, a dynamic researcher in Seed Science and Technology, is an ideal nominee for the Best Researcher Award in Plant Breeding and Seed Innovation. With a strong academic background from SKUAST-Jammu and HNB Garhwal University, Dr. Rajput has consistently demonstrated excellence through her extensive hands-on experience in molecular techniques, seed viability assessments, and bioinformatics. She has actively contributed to research with multiple poster presentations, national and international conference participations, and training in CRISPR/Cas9 and R programming. Her work emphasizes sustainable agriculture, seed priming, genetic diversity, and climate-resilient crop development. A keen advocate of organic seed systems, she also brings practical exposure through internships and on-farm engagement. Her ability to merge scientific rigor with field applicability highlights her as a pioneering young scientist committed to advancing agricultural biotechnology for sustainable food systems. Her contributions make her an outstanding candidate for this prestigious honor.

🎓 Education 

Sonali Rajput has cultivated a solid academic foundation in agricultural sciences. She earned her Bachelor of Science (Hons.) in Agriculture from SKUAST-Jammu (2017-2021), followed by a Master of Science in Seed Science and Technology from the same institution (2021-2023). Currently, she is pursuing a Ph.D. in Seed Science and Technology at Hemvati Nandan Bahuguna Garhwal University, Uttarakhand (2024). Her academic journey is marked by an intensive engagement in both theoretical and practical aspects of seed biology, genetic improvement, and molecular techniques. Her education includes advanced coursework and hands-on experience in beekeeping, organic farming, CRISPR/Cas9, and statistical tools in R and Python. These academic achievements are complemented by certifications in biotechnology, organic farming, and programming, which provide her with a multidisciplinary edge in the field of plant breeding and seed research.

 💼  Professional Experience

Sonali Rajput’s professional journey is enriched with a series of impactful internships and field engagements. She has completed the RAWE program, working with farmer families to understand grassroots agricultural challenges. Internships with JKMPCL, Krishi Vigyan Kendra Jammu, and Rapture Biotech International Ltd. have honed her skills in molecular biology, seed viability, and organic seed production. Her elective course in Apiculture provided additional value to her sustainable agriculture toolkit. Through participation in over 10 national conferences, workshops, and certificate programs, Sonali has developed an interdisciplinary approach blending practical fieldwork with high-end laboratory research. Her technical arsenal includes microbial isolation, PCR amplification, DNA/protein quantification, UV-visible spectrophotometry, and statistical tools for genetic diversity and correlation analysis. She is proficient in MS Office, R programming, and Python, which she utilizes for bioinformatics and plant genomics data analysis. This diverse exposure positions her as a future leader in plant breeding and seed technology.

🏅 Awards and Recognition 

Sonali Rajput has distinguished herself through various academic and research contributions. She was selected for poster presentations at top-tier conferences, such as the 5th International Conference on Climate Change and the National Conference on Coastal Ecosystem Management. She earned a certificate of merit in the AGRIVISION-2023 Convention and coordinated the SAHSI Self Defence Training program at SKUAST-Jammu. Her abstract on “Nano Technologies for Sustainable Agriculture” was appreciated at a national level. She has successfully completed numerous online courses on advanced topics like CRISPR/Cas9, organic farming, Python for genetics, and R programming. Her dedication to continuous learning and dissemination of agricultural innovations has earned her appreciation from organizing committees, peers, and faculty. These accolades not only reflect her academic merit but also her leadership potential and commitment to sustainable agricultural development and scientific research. She continues to grow as an exemplary figure in plant breeding and seed science.

🌍Research skills On Plant Breeding

Sonali possesses a robust suite of research skills essential for advanced work in plant breeding and seed technology. She is proficient in microbial, molecular, and seed technology methods. Her experience includes isolating endophytic bacteria, performing PCR, and quantifying DNA/proteins using spectrophotometry. She is adept in advanced statistical analysis techniques such as D2 clustering, PCA, path coefficient analysis, and genetic heritability estimation using R and Python. Sonali’s ability to perform seed viability tests, priming, organic seed production, and seed physiology studies positions her as an expert in seed development. She has hands-on experience with soil nitrogen analysis, chlorophyll measurement, and biochemical assays. Her research interest lies at the intersection of plant molecular biology, crop improvement, and sustainability. She integrates lab results with field data, bringing a holistic approach to agricultural research. Her capacity to analyze and visualize data ensures research outcomes are precise, relevant, and impactful for plant breeding advancements.

📖Publications

Advancement in Latest Plant Hormone – The Brassinosteroids
  • Authors: Aditi, Chaitanya Tiwari, Sonali Rajput

  • Journal: Agri Articles

  • Year: 2025

Effect of Seed Priming on Germination and Seedling Growth of Wheat (Triticum aestivum L.)
  • Authors: Shardul Pandey, Narendra Meghwal, Kartik Agrawat, Sonali Rajput

  • Journal: Agri Articles

  • Year: 2025

Innovations in Breeding and Biofortification for Advancement in Finger Millet (Eleusine coracana L.) Production and Nutritional Enhancement
  • Authors: Masoom Ankit Patel, Chaitanya Tiwari, Pragnya Rout, Sonali Rajput

  • Journal: Agri Magazine

  • Year: 2025

Assessment of Genetic Variability, Correlation, and Path Coefficient Analysis of Yield and Yield Components Traits in Urdbean [Vigna mungo (L.) Hepper]
  • Authors: Sonali Rajput, Anjani Kumar Singh, Sanjeev Kumar, Vishal Raina, Amrish Vaid

  • Journal: Vegetos

  • Year: 2025

The Role of Groundnut in Sustainable Agriculture: Breeding for Reduced Input Dependency
  • Authors: Chaitanya Tiwari, Masoom Ankit Patel, Sonali Rajput, Aviral Upadhyay, Shreeram Nitharwal

  • Journal: Agri Magazine

  • Year: 2025