Mingzhu Wan

Fudan University — China

Agricultural and Biological Sciences · Life Sciences

13h-index817citations17works0.02yr avg
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Research Topics

Smart Agriculture and AI(12), Remote Sensing in Agriculture(7), Spectroscopy and Chemometric Analyses(7), Remote Sensing and LiDAR Applications(4), Optical measurement and interference techniques(2)

Publications17 total

Detection of Tea Leaf Blight in Low-Resolution UAV Remote Sensing Images
IEEE Transactions on Geoscience and Remote Sensing·2023· 18 cited
Detection method for tea leaf blight in natural scene images based on lightweight and efficient LC3Net model
Journal of Plant Diseases and Protection·2023· 14 cited
Single-shot 3D measurement of highly reflective objects with deep learning
Optics Express·2023· 24 citedOpen Access
Single-Shot Three-Dimensional Measurement by Fringe Analysis Network
Photonics·2023· 12 citedOpen Access
Computer vision based method for severity estimation of tea leaf blight in natural scene images
European Journal of Agronomy·2023· 21 cited
Stereo matching with local cost volume refinement network
Advanced Optical Manufacturing Technologies and Applications 2022; and 2nd International Forum of Young Scientists on Advanced Optical Manufacturing (AOMTA and YSAOM 2022)·2023
Detection and classification of diseased pine trees with different levels of severity from UAV remote sensing images
Ecological Informatics·2022· 36 cited
UAV remote sensing monitoring of pine forest diseases based on improved Mask R-CNN
International Journal of Remote Sensing·2022· 44 cited
Semantic segmentation of tea geometrid in natural scene images using discriminative pyramid network
Applied Soft Computing·2021· 17 cited
Detection and severity analysis of tea leaf blight based on deep learning
Computers & Electrical Engineering·2021· 102 cited
Detection of diseased pine trees in unmanned aerial vehicle images by using deep convolutional neural networks
Geocarto International·2020· 23 cited
Recognition of diseased Pinus trees in UAV images using deep learning and AdaBoost classifier
Biosystems Engineering·2020· 123 cited
Identification of tea leaf diseases by using an improved deep convolutional neural network
Sustainable Computing Informatics and Systems·2019· 145 cited
A low shot learning method for tea leaf’s disease identification
Computers and Electronics in Agriculture·2019· 213 cited
Effects of neurophysiological facilitation and external pacing of diaphragm on post-stroke respiratory function
Zhonghua wuli yixue zazhi·2019
Self-adversarial Training and Attention for Multi-task Wheat Phenotyping
Applied Engineering in Agriculture·2019· 19 cited
Removing thin cloud on single remote sensing image based on SWF
2016· 6 cited

Frequent Co-authors

Gensheng Hu(12), Wenxia Bao(5), Yan Zhang(4), Weihui Zeng(3), Lingbao Kong(3), Cunjun Yin(2), Dong Liang(2), Ruohan Ye(2), Haoyu Wu(1), Xin‐She Yang(1), Yan Zhang(1), Yi Fang(1), Huaiyu Wang(1), Tongxiang Wang(1), Pan Yao(1), Yanqiu Zhu(1), Yan Zhang(1), Kang Wei(1), Lidong Qian(1), Yan Zhang(1)