About Me
👨🏼🌾I am currently a doctoral student at Zhejiang University, majoring in Agricultural Electrification and Automation, advised by Prof. Fei Liu. 🧠My study is focused on UAV image Processing amd Analyzing using Deep-Learning based methods.
🔭I have been working on UAV image super-resolution with varianve-enhanced diffusion-model during 2023, and trying to bridge UAV🛸 and satellite🛰️ data to achieve large-area remote sensing image refinement. ⚡In 2022, I designed a UAV image-sequence direct geo-location and trait-extraction system for real-time crop field sensing. 🌈In the next 2 years, I plan to achieve automatic few-shots learning for anomaly (pest & disease stress) region detection at crop field using UAV hyper/multi-spectral imaging, and set out to study crop points cloud☁️ segmentation & 3D traits measurment📏 using UAV LiDAR.
Articles
Lu X, Zhou J, Yang R, et al. Automated Rice Phenology Stage Mapping Using UAV Images and Deep Learning. Drones. 2023; 7(2):83. https://doi.org/10.3390/drones7020083
Lu X, Yang R, Zhou J, et al. A hybrid model of ghost-convolution enlightened transformer for effective diagnosis of grape leaf disease and pest. Journal of King Saud University - Computer and Information Sciences. 2022;34(5):1755-1767. https://doi.org/10.1016/j.jksuci.2022.03.006
Zhou J, Lu X, Yang R, et al. Developing thermal infrared de-ghost and multi-level nested conglutinated segmentation algorithm for detection of rice seed setting rate. Computers and Electronics in Agriculture. 2023; 207:107725. https://doi.org/10.1016/j.compag.2023.107725