Jinzhu Lu Dr.
School of Mechanical Engineering Xihua University Chengdu China · China
Editorial leadership for Journal of Agronomy Research ISSN 2639-3166
Research interests
- My Research Consolidates Efforts In Agriculture Engineering Including: Machine Vision Technology
- Image Processing. My Special Interests Are Agriculture Robotics In Orchards
- Tea Garden
- Plant Disease Detection
- Precision Equipment Of Potato
Biography
Dr. Jinzhu Lu is affiliated with the School of Mechanical Engineering at Xihua University in Chengdu, China. Dr. Lu has contributed to the field through research on the application of advanced computational methods to agricultural and engineering challenges. Their most influential work, "Review on Convolutional Neural Network (CNN) Applied to Plant Leaf Disease Classification," published in 2021, has garnered significant attention with 444 citations, reflecting its impact on the intersection of machine learning and plant pathology. Dr. Lu has authored over 11 indexed publications, demonstrating sustained scholarly engagement in computational intelligence and its practical applications.
Selected publications
- Review on Convolutional Neural Network (CNN) Applied to Plant Leaf Disease Classification 2021 cited 444×
- Tomato Leaf Diseases Classification Based on Leaf Images: A Comparison between Classical Machine Learning and Deep Learning Methods 2021 cited 148×
- The Application Status and Trends of Machine Vision in Tea Production 2023 cited 17×
- Lettuce Plant Trace-Element-Deficiency Symptom Identification via Machine Vision Methods 2023 cited 15×
- Application of Machine Vision Technology in Citrus Production 2023 cited 10×
- Sichuan Pepper Recognition in Complex Environments: A Comparison Study of Traditional Segmentation versus Deep Learning Methods 2022 cited 9×
Ranked by citation impact (Crossref) where available, newest otherwise · verified via ORCID.
Considering JAR for your work?
This journal is guided by Jinzhu Lu (School of Mechanical Engineering Xihua University Chengdu China) and a peer-review board of practising researchers. Open access, author-retained copyright (CC BY), and a clear editorial process.