A5034632039- Spectroscopy and Chemometric Analyses
- Remote Sensing in Agriculture
- Smart Agriculture and AI
- Terahertz technology and applications
- Advanced biosensing and bioanalysis techniques
- Plant tissue culture and regeneration
- Identification and Quantification in Food
- Metamaterials and Metasurfaces Applications
- Wood and Agarwood Research
- Genomics and Phylogenetic Studies
- Plant and animal studies
- Plant Pathogenic Bacteria Studies
- Molecular Sensors and Ion Detection
- Photosynthetic Processes and Mechanisms
- Insect and Pesticide Research
- Plasmonic and Surface Plasmon Research
- Plant Pathogens and Fungal Diseases
- Rough Sets and Fuzzy Logic
- Weed Control and Herbicide Applications
- Nanoplatforms for cancer theranostics
- Carbon and Quantum Dots Applications
- Natural Language Processing Techniques
- Nematode management and characterization studies
- Gold and Silver Nanoparticles Synthesis and Applications
- Light effects on plants
Zhejiang University
2020-2024
Nanjing Agricultural University
2023
Rural Development Institute
2023
Ministry of Agriculture and Rural Affairs
2020-2022
State Key Laboratory of Modern Optical Instruments
2021
Beijing Institute of Technology
2020
Putian University
2008
Chongqing University of Science and Technology
2008
The object detection method based on deep learning convolutional neural network (CNN) significantly improves the performance of wheat head images obtained from near ground. Nevertheless, for different stages, high density, and overlaps captured by aerial-scale unmanned aerial vehicle (UAV), existing learning-based methods often have poor effects. Since receptive field CNN is usually small, it not conducive to capture global features. visual Transformer can information an image; hence we...
The emergence and global spread of bacterial infections in clinical practice has become a public health problem. We provide detailed comprehensive summary the application AIEgens for detection treatments.
The promising prospect of a terahertz metasurface in sensing and detection applications has attracted increasing attention because its ability to overcome the classical diffraction limit enhancement field intensity. In this work, novel scheme based on an all-silicon plasmon is proposed experimentally demonstrated be highly sensitive biosensor for Bacillus thuringiensis Cry1Ac toxin. regression coefficients between protein concentrations spectral resonance intensity frequency were 0.8988...
Molecular spectroscopy has been widely used to identify pesticides. The main limitation of this approach is the difficulty identifying pesticides with similar molecular structures. When these pesticide residues are in trace and mixed states plants, it poses great challenges for practical identification. This study proposed a state-of-the-art method rapid identification (10 mg·L−1) multiple benzimidazole on surface Toona sinensis leaves, mainly including benzoyl (BNL), carbendazim (BCM),...
The non-judicious use of pesticides in agro-food poses a severe threat to food safety and human health. As an emerging chromatographic fingerprint provider, surface-enhanced Raman spectroscopy analysis (SERS) sheds bright light on sensitive nondestructive detection pesticide residues. This research proposed novel strategy detect three-pesticide residues (thiabendazole, carbendazim, chlorpyrifos) tomato peel based the flexible sticky SERS substrate. After selecting best commercial adhesive...
Bacterial blight poses a threat to rice production and food security, which can be controlled through large-scale breeding efforts toward resistant cultivars. Unmanned aerial vehicle (UAV) remote sensing provides an alternative means for the infield phenotype evaluation of crop disease resistance relatively time-consuming laborious traditional methods. However, quality data acquired by UAV affected several factors such as weather, growth period, geographical location, limit their utility...
With the increase in demand, artificially planting Chinese medicinal materials (CHMs) has also increased, and ensuing pesticide residue problems have attracted more attention. An optimized quick, easy, cheap, effective, rugged safe (QuEChERS) method with multi-walled carbon nanotubes as dispersive solid-phase extraction sorbents coupled surface-enhanced Raman spectroscopy (SERS) was first proposed for detection of deltamethrin complex matrix Corydalis yanhusuo. Our results demonstrate that...
Hyperspectral imaging technique combined with machine learning is a powerful tool for the evaluation of disease phenotype in rice disease-resistant breeding. However, current studies are almost carried out lab environment, which difficult to apply field environment. In this paper, we used visible/near-infrared hyperspectral images analysis severity bacterial blight (BB) and proposed novel index construction strategy (NDSCI) application. A designed long short-term memory network attention...
Glyphosate is one of the most widely used non-selective herbicides, and creation glyphosate-resistant cultivars solves problem limited spraying area. Therefore, it great significance to quickly identify resistant without destruction during development superior cultivars. This work took maize seedlings as experimental object, spectral indices leaves were calculated construct a model with good robustness that could be in different experiments. Compared no transfer strategies, transferability...
Spirulina platensis can synthesize a large amount of phycocyanin, which had been developed as health food. At the same time, absorb nitrogen and phosphorus in wastewater provide for its own growth. Here, we studied optimal supply production process. For first 405 nm portable Raman spectrometer was used to estimate phycocyanin content real-time industrial applications. We obtained three characteristic peaks through density functional theory combined with home-built spectrometer, were 1272,...
Abstract Developing herbicide resistant cultivars is one of the effective methods to solve safety problem caused by use herbicide. In this study, hyperspectral image was used develop more robust leaf chlorophyll content (LCC) prediction model based on different datasets finally analyze response LCC glyphosate-stress. Chlorophyll a fluorescence (ChlF) dynamically monitor photosynthetic physiological transgenic glyphosate-resistant and wild glyphosate–sensitive maize seedlings, applying...
Abstract Background Transgenic glyphosate-resistant maize has emerged as a way to expand the use of glyphosate for weed control. Studying microbiome in transgenic plant and rhizosphere soil is vital understanding mechanism optimizing design crops. Results In our study, modification did not affect initial bacterial community leaf, stem, root maize, but promoted healthier soil. After stimulation, recruited more beneficial bacteria regulate biocontrol, N fixation P solubilization both tissues...
Currently, the presence of genetically modified (GM) organisms in agro-food markets is strictly regulated by enacted legislation worldwide. It essential to ensure traceability these transgenic products for food safety, consumer choice, environmental monitoring, market integrity, and scientific research. However, detecting existence GM involves a combination complex, time-consuming, labor-intensive techniques requiring high-level professional skills. In this paper, concise rapid pipeline...
Abstract Accurate delineation of plant cell organelles from electron microscope images is essential to understand subcellular behaviors and functions. Here, we develop a deep learning pipeline, organelle segmentation network (OrgSegNet) for pixel-wise identify chloroplasts, mitochondria, nuclei, vacuoles. OrgSegNet was evaluated on large manually-annotated dataset 6371 collected 13 species, achieved state-of-the-art performance these organelles. To generalize the morphological...
Language is the main carrier of social information. In order to make use information existing in form natural language, we should extract and analyze it with technique dealing language. syntax analysis which vital importance be bridge between grammar semantic analysis. Based on rule statistical approach, this paper discusses designing realization surface syntactic Chinese language from aspects theory algorithm.