Lin Lv

China Agricultural University, Southeast University

Papers

Total Citations

H-Index

About

Lin Lv is a researcher at the forefront of intelligent robotics and computer vision, with a primary focus on deep learning-based object detection for agricultural and industrial automation. Her most impactful work, "Robust Cherry Tomatoes Detection Algorithm in Greenhouse Scene Based on SSD" (2020), has garnered 69 citations, establishing a foundational method for robotic harvesting. This study addresses critical challenges in greenhouse environments—such as variable illumination, occlusion, and growth differences—by leveraging the Single Shot MultiBox Detector (SSD) to achieve robust, real-time fruit detection. In parallel, Lv has advanced industrial inspection with her 2019 study on cabinet detection in equipment floors, integrating AlexNet and SSD models to enhance the accuracy and stability of autonomous inspection robots. While her citation count reflects growing recognition, her contributions are notable for bridging the gap between theoretical deep learning models and practical, deployment-ready solutions in unstructured settings. Lv’s work directly supports the development of smart agriculture and intelligent industrial systems, offering scalable approaches that reduce reliance on manual labor. Her research continues to inspire innovations in precision agriculture and automated facility management.