Dhandapani Raju | Phenomics | Best Researcher Award

Dr. Dhandapani Raju | Phenomics | Best Researcher Award

Senior Scientist at ICAR-IARI, New Delhi, India

Dr. Dhandapani R is a Senior Scientist at ICAR–Indian Agricultural Research Institute, New Delhi, specializing in plant phenomics, seed physiology, and abiotic stress tolerance. He holds a Ph.D. in Plant Physiology and has contributed significantly to high-throughput phenotyping and genetic purity assessment. With multiple national and international patents, over 20 peer-reviewed publications, and national awards including the Young Scientist Award, his work bridges innovation and impact in agricultural research. He has mentored postgraduate scholars, developed new technologies, and co-led major national projects in precision agriculture and crop stress management, making him a leading figure in modern plant science.

📑Professional Profile

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🎓Academic Background

Dr. Dhandapani R is a distinguished Senior Scientist at ICAR–Indian Agricultural Research Institute, New Delhi, with a strong academic foundation in agriculture and plant physiology. He earned his B.Sc. in Agriculture from Tamil Nadu Agricultural University, M.Sc. in Plant Physiology from Chandra Shekhar Azad University, and Ph.D. in Plant Physiology from IARI, New Delhi. His doctoral research focused on the carotenoid biosynthetic pathway in banana cultivars. Over the years, he has made notable contributions in phenomics, seed physiology, and abiotic stress tolerance. His academic journey laid the groundwork for his impactful innovations in plant science and agricultural research.

💼Professional Experience

Dr. Dhandapani R has over 15 years of professional experience in agricultural research, currently serving as a Senior Scientist at ICAR–Indian Agricultural Research Institute, New Delhi. He began his career as a Scientist at ICAR-NAARM, Hyderabad, and later contributed significantly at the Indian Institute of Seed Science, Maunath Bhanjan. His work focuses on plant phenomics, high-throughput phenotyping, seed physiology, and abiotic stress tolerance. He has developed innovative sampling technologies, filed national and international patents, and led multiple research projects. Additionally, he has conducted national-level training programs and guided postgraduate students, demonstrating excellence in both research and academic mentorship.

🏅Awards and Honors

Dr. Dhandapani R has received several prestigious awards and recognitions for his contributions to agricultural science. He was honored with the Young Scientist Award by the Indian Society of Plant Physiology in 2010 for his pioneering work in banana phenotyping. He is a recipient of the ICAR Junior Research Fellowship (JRF) and Senior Research Fellowship (SRF), as well as the ICAR-ARS qualification. He also earned a book prize for academic excellence during his M.Sc. program. His research presentations have earned multiple best poster and oral presentation awards, reflecting his scientific excellence and dedication to advancing plant physiology.

🔬Research Focus

Dr. Dhandapani R’s research centers on plant phenomics, seed physiology, and the physiological, biochemical, and molecular mechanisms of abiotic stress tolerance in crops such as rice and wheat. He employs high-throughput phenotyping tools to improve drought and salinity resilience, and has contributed to the development of real-time software for estimating water use efficiency. His past research includes genetic purity assessment, seed vigor, and carotenoid biosynthesis in banana. With a strong foundation in both structural and functional genomics, he integrates advanced imaging, molecular tools, and machine learning to enhance crop performance and support precision agriculture initiatives.

📝Publication Top Notes

Comparison of various modelling approaches for water deficit stress monitoring in rice crop through hyperspectral remote sensing
📅 Year: 2019 | Cited by: 112

SpikeSegNet – a deep learning approach utilizing encoder-decoder network with hourglass for spike segmentation and counting in wheat plant from visual imaging
📅 Year: 2020 | Cited by: 111

Application of thermal imaging and hyperspectral remote sensing for crop water deficit stress monitoring
📅 Year: 2021 | Cited by: 63

Heterotic grouping and patterning of quality protein maize inbreds based on genetic and molecular marker studies
📅 Year: 2014 | Cited by: 35

Insights into morphological and physio-biochemical adaptive responses in mungbean (Vigna radiata L.) under heat stress
📅 Year: 2023 | Cited by: 26

Image-based phenotyping of seed architectural traits and prediction of seed weight using machine learning models in soybean
📅 Year: 2023 | Cited by: 24

Phenomics-based prediction of plant biomass and leaf area in wheat using machine learning approaches
📅 Year: 2023 | Cited by: 23

Differential accumulation of β-carotene and tissue specific expression of phytoene synthase (MaPsy) gene in banana (Musa sp) cultivars
📅 Year: 2017 | Cited by: 18

Angiotensin-converting enzyme inhibitory peptides and isoflavonoids from soybean [Glycine max (L.) Merr.]
📅 Year: 2022 | Cited by: 17

Associations of direct and indirect selection for pregermination anaerobic stress tolerance in soybean (Glycine max)
📅 Year: 2022 | Cited by: 16

🏆Conclusion

Dr. Dhandapani R is a highly accomplished Senior Scientist at ICAR–Indian Agricultural Research Institute, New Delhi, with expertise in plant physiology, phenomics, seed science, and abiotic stress tolerance. His innovative research has led to the development of high-throughput phenotyping tools, real-time software for water use efficiency, and the identification of key genes for nutritional improvement in crops. With three Indian and three international patents, over 20 peer-reviewed publications, and leadership roles in national projects, he has demonstrated outstanding scientific and technological contributions. His mentorship, training initiatives, and recognition through national fellowships and awards make him an exceptional candidate, strongly recommended for the Research for Best Researcher Award.

 

 

Jinshan Yan | Agricultural Machinery | Best Researcher Award

Assoc. Prof. Dr. Jinshan Yan | Agricultural Machinery | Best Researcher Award

Associate Professor at Xinjiang Agricultural University, China

Dr. Jinshan Yan is an Associate Professor at Xinjiang Agricultural University, holding a Ph.D. in Engineering from Zhejiang University. Specializing in agricultural machinery and precision agriculture, he has made significant contributions to smart farming technologies. His research focuses on online detection systems using Vis/NIR spectroscopy and machine learning, with several high-impact publications in SCI-indexed journals like Computers and Electronics in Agriculture (IF 8.3) and Postharvest Biology and Technology (IF 7.0). He has led key R&D projects funded by the Autonomous Region and is actively involved in innovation through ongoing patent work. Dr. Yan is dedicated to advancing sustainable agricultural practices through cutting-edge research and technology integration 🌱🔬🚜.

Publication Profile📚

Scopus

Academic Background🎓

Dr. Jinshan Yan is an Associate Professor at Xinjiang Agricultural University, where he also serves as a postgraduate mentor. He earned his Ph.D. in Engineering from the prestigious Zhejiang University. With a strong foundation in agricultural machinery, Dr. Yan has devoted his career to advancing smart farming and precision agriculture technologies. His research emphasizes online detection systems using Vis/NIR spectroscopy combined with data modeling, leading to publications in top-tier SCI journals like Computers and Electronics in Agriculture (IF 8.3) and Postharvest Biology and Technology (IF 7.0). He has directed key R&D projects funded by the Autonomous Region and is involved in innovation through patent development, driving progress in sustainable agriculture 🎓🌱📚.

Professional Background💼

Dr. Jinshan Yan is currently serving as an Associate Professor at Xinjiang Agricultural University, where he plays a key role in both teaching and postgraduate supervision. With a Ph.D. in Engineering from Zhejiang University, he has over a decade of experience in the field of agricultural machinery and precision agriculture. His work focuses on smart farming technologies, particularly the development of online detection systems using Vis/NIR spectroscopy and machine learning. Dr. Yan has published extensively in high-impact journals like Computers and Electronics in Agriculture (IF 8.3) and has led major R&D projects supported by regional funding bodies. He is also engaged in patent development, showcasing his commitment to agricultural innovation and sustainability 🔍🤖💡.

Research Focus🔬

Dr. Jinshan Yan concentrates his research on the intersection of agricultural machinery and intelligent sensing technologies. His primary focus is the development of online detection systems using Vis/NIR spectroscopy, ensemble preprocessing, and machine learning models to improve accuracy and efficiency in crop quality assessment and harvesting processes. His work has addressed key agricultural challenges such as real-time moisture detection in paddy fields and dry matter prediction in potatoes . With publications in renowned journals like Computers and Electronics in Agriculture (IF 8.3), his research contributes to enhancing automation and precision in agriculture. Supported by regional R&D funding, Dr. Yan’s innovations aim to promote sustainability and technological advancement in modern farming practices 🌾📈🥔.

Publication Top Notes📋

📘 Design and Experimental Research on Staggered Straw Cleaning Device for No-Till Seeding in Drip Irrigation Area
Year: 2025

📘 Paddy Moisture On-line Detection Based on Ensemble Preprocessing and Modeling for Combine Harvester
Year: 2022 | (Computers and Electronics in Agriculture)

📘 Vis/NIR Model Development and Robustness in Prediction of Potato Dry Matter Content with Influence of Cultivar and Season
Year: 2023 |🌱 (Postharvest Biology and Technology)

📘 Intact Macadamia Nut Quality Assessment Using Near-Infrared Spectroscopy and Multivariate Analysis
Year: 2021 |🌿 (Journal of Food Composition and Analysis)

📘 Evaluation of the Optical Layout and Sample Size on Online Detection of Apple Watercore and SSC Using Vis/NIR Spectroscopy
Year: 2023 |📈 (Journal of Food Composition and Analysis)

Conclusion

Associate Professor Jinshan Yan is a strong candidate for a Best Researcher Award, particularly at the regional or institutional level, due to his solid academic foundation with a Ph.D. from Zhejiang University and his focused expertise in agricultural machinery and precision agriculture. His research, which emphasizes spectroscopy, online detection, and modeling techniques, has led to high-impact publications in top-tier SCI journals such as Computers and Electronics in Agriculture (IF 8.3) and Postharvest Biology and Technology (IF 7.0). He has served as a lead researcher on a major R&D project funded by the Autonomous Region and is involved in patent-related innovation. Strengthening leadership roles and global visibility could further enhance his competitiveness for broader international recognition.