activity
20162026
most citedFood Image Recognition by Using Convolutional Neural Networks (CNNs)

41 citations · 68 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2026

DINOv3 Meets YOLO26 for Weed Detection in Vegetable Crops

Boyang Deng, Yuzhen Lu

Developing robust models for precision vegetable weeding is currently constrained by the scarcity of large-scale, annotated weed-crop datasets. To address this limitation, this stu…

cs.CV2026

Detection of On-Ground Chestnuts Using Artificial Intelligence Toward Automated Picking

Kaixuan Fang, Yuzhen Lu, Xinyang Mu

Traditional mechanized chestnut harvesting is too costly for small producers, non-selective, and prone to damaging nuts. Accurate, reliable detection of chestnuts on the orchard fl…

cs.CV2025

A Comparative Benchmark of Real-time Detectors for Blueberry Detection towards Precision Orchard Management

Xinyang Mu, Yuzhen Lu, Boyang Deng

Blueberry detection in natural environments remains challenging due to variable lighting, occlusions, and motion blur due to environmental factors and imaging devices. Deep learnin…

cs.CV2025

Semi-Supervised Weed Detection in Vegetable Fields: In-domain and Cross-domain Experiments

Boyang Deng, Yuzhen Lu

Robust weed detection remains a challenging task in precision weeding, requiring not only potent weed detection models but also large-scale, labeled data. However, the labeled data…

cs.CV2024★ 3 cited

Public Computer Vision Datasets for Precision Livestock Farming: A Systematic Survey

Anil Bhujel, Yibin Wang, Yuzhen Lu +2

Technology-driven precision livestock farming (PLF) empowers practitioners to monitor and analyze animal growth and health conditions for improved productivity and welfare. Compute…

cs.CV2022★ 3 cited

Deep Data Augmentation for Weed Recognition Enhancement: A Diffusion Probabilistic Model and Transfer Learning Based Approach

Dong Chen, Xinda Qi, Yu Zheng +2

Weed management plays an important role in many modern agricultural applications. Conventional weed control methods mainly rely on chemical herbicides or hand weeding, which are of…

cs.CV2022★ 10 cited

Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review

Ebenezer Olaniyi, Dong Chen, Yuzhen Lu +1

In agricultural image analysis, optimal model performance is keenly pursued for better fulfilling visual recognition tasks (e.g., image classification, segmentation, object detecti…

cs.CV2021★ 6 cited

Performance Evaluation of Deep Transfer Learning on Multiclass Identification of Common Weed Species in Cotton Production Systems

Dong Chen, Yuzhen Lu, Zhaojiang Li +1

Precision weed management offers a promising solution for sustainable cropping systems through the use of chemical-reduced/non-chemical robotic weeding techniques, which apply suit…

cs.CV2017★ 5 cited

Out-of-focus Blur: Image De-blurring

Yuzhen Lu

Image de-blurring is important in many cases of imaging a real scene or object by a camera. This project focuses on de-blurring an image distorted by an out-of-focus blur through a…

cs.CV2016★ 41 cited

Food Image Recognition by Using Convolutional Neural Networks (CNNs)

Yuzhen Lu

Food image recognition is one of the promising applications of visual object recognition in computer vision. In this study, a small-scale dataset consisting of 5822 images of ten c…