A5000405178- Smart Agriculture and AI
- Leaf Properties and Growth Measurement
- Machine Learning in Materials Science
- Electron and X-Ray Spectroscopy Techniques
- Ga2O3 and related materials
Wuhan University
2022
Shanghai Jiao Tong University
2020
Abstract Stomata play important roles in gas and water exchange leaves. The morphological features of stomata pavement cells are highly plastic regulated during development. However, it is very laborious time-consuming to collect accurate quantitative data from the leaf surface by manual phenotyping. Here, we introduce LeafNet, a tool that automatically localizes stomata, segments (to prepare them for quantification), reports multiple parameters variety epidermal images, especially...
Abstract The radius of nanomaterials, which will affect the specific surface area nanowires and other functions, is important for optoelectronic application nanomaterials. Scanning Electron Microscopy (SEM) an effective method to observe spatial morphology nanowires. However, current measurement topographical features mainly uses manual methods, bring about instability errors, especially when measuring a large number them. Deep learning provides efficient, fast way identify segment nanowire...