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.