Wenbin Lu

Papers

Total Citations

H-Index

About

Wenbin Lu is a researcher specializing in agricultural informatics and precision horticulture, with a particular focus on computer vision applications in orchard management. His most cited work, "A visual identification method for the apple growth forms in the orchard" (2022), has garnered 43 citations, establishing a foundational approach for automated monitoring of fruit development. Lu's major contribution lies in developing image-based techniques that enable non-invasive, real-time classification of apple growth stages, directly supporting yield estimation and smart farming practices. This work bridges the gap between traditional agronomy and modern machine learning, offering practical tools for growers to optimize irrigation, pruning, and harvest timing. Beyond this flagship study, Lu continues to advance visual sensing methodologies for crop phenotyping, contributing to the broader field of digital agriculture. His research is particularly notable for its potential to reduce labor costs and improve data-driven decision-making in fruit production, making him a key figure in the integration of AI with sustainable horticulture.