Ramesh Kumar Sahni | Farm Machinery | Best Researcher Award

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Dr. Ramesh Kumar Sahni | Farm Machinery | Best Researcher Award

Scientist | ICAR-Central Institute of Agricultural Engineering, Bhopal | India

Dr. Ramesh Kumar Sahni is an accomplished researcher and scientist at ICAR-Central Institute of Agricultural Engineering (CIAE), Bhopal, with extensive experience in the fields of agricultural mechanization, precision agriculture, and automation in farming systems. His research primarily focuses on the design and development of advanced agricultural technologies, including automatic irrigation systems, high-speed seed metering mechanisms, automated soil nutrient sensing systems, and drone-based solutions for spraying, yield prediction, and plant disease detection. He has contributed significantly to the standardization and promotion of drone spraying systems for major crops such as wheat and maize, reflecting his commitment to sustainable and technology-driven agriculture. Dr. Sahni has a strong record of applied research outcomes, supported by numerous national and international awards, including the Young Scientist Award (2023), multiple Best Research Paper Awards, and recognition for innovation and excellence in agricultural engineering. His research publications address critical issues such as farm mechanization trends, energy-efficient crop residue management, and precision agrochemical application, contributing to the modernization of Indian agriculture. In addition to his research achievements, he has served as Associate Editor of the Journal of Agricultural Engineering (India) and as a reviewer for several reputed international journals, underscoring his leadership in scientific communication and peer review. His work bridges the gap between theoretical research and field-level implementation, promoting smart, sustainable, and data-driven farming solutions that enhance productivity, reduce resource consumption, and support the long-term transformation of agricultural practices in India and beyond.

Profile:  Scopus  |  ORCID  |  Google Scholar  |  ResearchGate

Featured Publications

Tiwari, P. S., Singh, K. K., Sahni, R. K., & Kumar, V. (2019). Farm mechanization – trends and policy for its promotion in India. Indian Journal of Agricultural Sciences, 89(10), 1555–1562.

Sahni, R. K., Kumari, S., Kumar, M., Kumar, M., & Kumar, A. (2020). Status of Litchi cultivation in India. International Journal of Current Microbiology and Applied Sciences, 9(4), 1–10.*

Singh, R. S., & Sahni, R. K. (2019). Transformation of Indian agriculture through mechanization. Economic Affairs, 64(2), 297–303.*

Gatkal, N. R., Nalawade, S. M., Sahni, R. K., Walunj, A. A., Kadam, P. B., Bhanage, G. B., & others. (2024). Present trends, sustainable strategies and energy potentials of crop residue management in India: A review. Heliyon, 10(21), e00000.*

Sahni, R. K., Kumar, S. P., Thorat, D., Rajwade, Y., Jyoti, B., Ranjan, J., & Anand, R. (2024). Drone spraying system for efficient agrochemical application in precision agriculture. In Applications of computer vision and drone technology in agriculture 4.0 (pp. 225–244).

Jinshan Yan | Agricultural Machinery | Best Researcher Award

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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.