Xihua University - China
AUTHOR PROFILE
Scopus
ORCID
SUMMARY
Dr. Jinzhu Lu is a dedicated scholar in Agricultural Engineering, specializing in agricultural robotics, non-destructive testing, and precision equipment for crops like potatoes and tea. She serves as Associate Professor and lab head at Xihua University, leading innovative agricultural automation projects. Her academic exposure includes a doctorate from Zhejiang University and a visiting term at the University of Florida. With an impactful record of publications, awards, and professional contributions, Dr. Jinzhu Lu represents a blend of research excellence and applied technological innovation in modern agriculture.
EDUCATION
Dr. Jinzhu Lu earned her Doctor of Engineering in Agricultural Engineering from Zhejiang University, focusing her thesis on spectral imaging for leaf disease detection. She was mentored by Prof. Huanyu Jiang and Dr. Reza Ehsani. Additionally, she pursued academic exchange as a visiting student at the University of Florida under the China Study Abroad Council. Her foundational training includes a Bachelor’s degree in Agricultural Electrification and Automation, setting the stage for her specialization in robotics and sensor-based agricultural systems.
PROFESSIONAL EXPERIENCE
Since January 2019, Dr. Jinzhu Lu has served as Associate Professor and head of the Agricultural Robot Laboratory at Xihua University’s School of Mechanical Engineering. Previously, She was a lecturer in the same institution. She also undertook a visiting scholar position at the University of Aberdeen in 2024. Her leadership has been pivotal in guiding student innovation, contributing significantly to national and international competitions. Her involvement in various research and academic committees reflects her active engagement in the broader agricultural engineering community.
RESEARCH INTEREST
Dr. Lu’s research focuses on agricultural robotics, non-destructive testing, and precision agriculture. She is particularly interested in machine vision applications for tea bud detection, disease identification, and robotic operations in orchards and tea gardens. Her work integrates sensor technology, artificial intelligence, and automation to enhance crop monitoring and productivity. She has recently led projects on hyperspectral imaging for fruit phenotyping and precision seeding in potatoes, showcasing her ability to merge practical field challenges with advanced technological solutions.
AWARD AND HONOR
Dr. Jinzhu Lu received the Best Paper Award from Agriculture Journal in 2021 and her students have achieved top ranks in national robotics and innovation competitions. These include CSAE 2023, CRAIC 2023, and various agricultural equipment design contests from 2018 to 2022. She was recognized as a young scientific talent by Sichuan Province and holds a senior membership in the Chinese Society of Agricultural Engineering. Her editorial contributions to peer-reviewed journals further reflect her standing in the scientific community.
RESEARCH SKILL
Dr. Jinzhu Lu possesses strong expertise in machine vision, hyperspectral imaging, deep learning, and robotics for agricultural applications. She designs and implements intelligent systems for crop inspection, disease classification, and harvesting precision. Her technical acumen includes using YOLO models, convolutional neural networks, and spectral analysis. With experience in prototyping, sensor integration, and AI algorithm deployment, she bridges engineering and agriculture effectively. Her laboratory leadership has advanced hands-on experimentation and field-ready agricultural automation systems.
PUBLICATIONS
Dr. Jinzhu Lu has authored numerous influential research papers in top journals such as Agriculture, Computers and Electronics in Agriculture, and Frontiers in Plant Science. Her works cover topics like hyperspectral phenotyping, tea bud detection using YOLO algorithms, and nondestructive ripeness assessment in citrus. Notably, she has co-developed several patents and submitted further applications, reinforcing the applied nature of her research. Her studies often include interdisciplinary collaborations and have gained relevance across plant science, AI, and engineering domains.
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Title: Phenotyping of navel orange based on hyperspectral imaging technology
Author(s): Qi Wang, Jinzhu Lu, Yuanhong Wang, Kaiqian Peng, Zongmei Gao
Journal: Computers and Electronics in Agriculture
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Title: In situ nondestructive identification of citrus fruit ripeness via hyperspectral imaging technology
Author(s): Qi Wang, Jinzhu Lu, Yuanhong Wang, Fajun Miao, Senping Liu, Qiyang Shui, Junfeng Gao, Yingwang Gao
Journal: Plant Methods
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Title: A method of identification and localization of tea buds based on lightweight improved YOLOV5
Author(s): Yuanhong Wang, Jinzhu Lu, Qi Wang, Zongmei Gao
Journal: Frontiers in Plant Science
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Title: Research on Device and Sensing Technology for Precision Seeding of Potato
Author(s): Jinzhu Lu, Senping Liu, Qi Wang, Min Liao
Journal: Agriculture
CONCLUSION
Dr. Jinzhu Lu stands out as an innovative researcher whose work bridges technology and agricultural sciences. Her contributions to robotics, plant imaging, and AI-driven diagnostics have advanced both academic inquiry and practical farming solutions. With a clear vision for intelligent agriculture and a strong track record of mentorship, patents, and publications, she is shaping the future of smart farming. Her ongoing engagements and recognitions affirm her leadership and continued potential in agricultural engineering research and innovation.