A5065410322- Remote Sensing in Agriculture
- Smart Agriculture and AI
- Remote Sensing and LiDAR Applications
- Plant-Microbe Interactions and Immunity
- Crop Yield and Soil Fertility
- Genetic Mapping and Diversity in Plants and Animals
- Liver Disease and Transplantation
- Wheat and Barley Genetics and Pathology
- Spectroscopy and Chemometric Analyses
- Organ Transplantation Techniques and Outcomes
- Plant Virus Research Studies
- Plant nutrient uptake and metabolism
- Plant Genetic and Mutation Studies
- Plant Pathogens and Resistance
- Cell Image Analysis Techniques
- Greenhouse Technology and Climate Control
- Soil Geostatistics and Mapping
- Fractional Differential Equations Solutions
- Species Distribution and Climate Change
- Medical Imaging and Analysis
- Leaf Properties and Growth Measurement
- Liver Disease Diagnosis and Treatment
- Outsourcing and Supply Chain Management
- Seed Germination and Physiology
- Technology and Security Systems
National Institute of Agricultural Botany
2020-2025
Nanjing Agricultural University
2018-2024
First Affiliated Hospital of Gannan Medical University
2024
Zhongshan Hospital
2018-2023
Fudan University
1997-2023
The First Affiliated Hospital, Sun Yat-sen University
2018-2023
Sun Yat-sen University
2018-2023
China University of Geosciences
2023
State Key Laboratory of Medical Neurobiology
2023
National Engineering Research Center for Information Technology in Agriculture
2021-2022
The activity of surface receptors is location specific, dependent upon the dynamic membrane trafficking network and receptor-mediated endocytosis (RME). Therefore, spatio-temporal dynamics RME are critical to receptor function. plasma FLAGELLIN SENSING2 (FLS2) confers immunity against bacterial infection through perception flagellin (flg22). Following elicitation, FLS2 internalized into vesicles. To resolve trafficking, we exploited quantitative confocal imaging for colocalization studies...
Sensing of potential pathogenic bacteria is critical importance for immunity. In plants, this involves plasma membrane-resident pattern recognition receptors, one which the FLAGELLIN SENSING 2 (FLS2) receptor kinase. Ligand-activated FLS2 receptors are internalized into endosomes. However, extent to these spatiotemporal dynamics generally present among (PRRs) and their regulation remain elusive. Using live-cell imaging, we show that at least three other kinases associated with plant...
Cysteine-rich receptor-like kinases (CRKs) are transmembrane proteins characterized by the presence of two domains unknown function 26 (DUF26) in their ectodomain. The CRKs form one largest groups protein plants, but biological functions have so far remained largely uncharacterized. We conducted a large-scale phenotyping approach nearly complete crk T-DNA insertion line collection showing that control important aspects plant development and stress adaptation response to biotic abiotic...
Aerial imagery is regularly used by crop researchers, growers and farmers to monitor crops during the growing season. To extract meaningful information from large-scale aerial images collected field, high-throughput phenotypic analysis solutions are required, which not only produce high-quality measures of key traits, but also support professionals make prompt reliable management decisions. Here, we report AirSurf, an automated open-source analytic platform that combines modern computer...
Summary Efficient seed germination and establishment are important traits for field glasshouse crops. Large‐scale experiments laborious prone to observer errors, leading the necessity automated methods. We experimented with five crop species, including tomato, pepper, Brassica, barley, maize, concluded an approach large‐scale scoring. Here, we present SeedGerm system, which combines cost‐effective hardware open‐source software experiments, imaging, machine‐learning based phenotypic analysis....
ABSTRACT Two-way transmission of influenza viruses between humans and swine has been frequently observed, the occurrence 2009 H1N1 pandemic virus (pdm/09) demonstrated that swine-origin could facilitate genesis a strain. Although multiple introductions to reassortment in pdm/09 have repeatedly reported both Eurasia Americas, its long-term impact on development (SIVs) not systematically explored. Our comprehensive evolutionary studies complete genomes 387 SIVs obtained from 2012 by...
Plants and animals rely on immune receptors, known as nucleotide-binding domain leucine-rich repeat (NLR)-containing proteins, to defend against invading pathogens activate responses. How NLR receptors respond is inadequately understood. We previously reported single-residue mutations that expand the response of potato receptor R3a AVR3a EM , a stealthy effector from late blight oomycete pathogen Phytophthora infestans. I2, another mediates resistance wilt-causing fungus Fusarium oxysporum...
Plasmodesmata (PD) form tubular connections that function as intercellular communication channels. They are essential for transporting nutrients and coordinating development. During cytokinesis, simple PDs inserted into the developing cell plate, while during wall extension, more complex (branched) forms of PD laid down. We show derived from existing in a pattern is accelerated when leaves undergo sink-source transition. Complex initially at three-way junctions between epidermal cells but...
High-quality plant phenotyping and climate data lay the foundation for phenotypic analysis genotype-environment interaction, providing important evidence not only scientists to understand dynamics between crop performance, genotypes, environmental factors but also agronomists farmers closely monitor crops in fluctuating agricultural conditions. With rise of Internet Things technologies (IoT) recent years, many IoT-based remote sensing devices have been applied monitoring, which are...
Rice ( Oryza sativa ) is an essential stable food for many rice consumption nations in the world and, thus, importance to improve its yield production under global climate changes. To evaluate different varieties’ performance, key yield-related traits such as panicle number per unit area (PNpM 2 are indicators, which have attracted much attention by plant research groups. Nevertheless, it still challenging conduct large-scale screening of panicles quantify PNpM trait due complex field...
Abstract Automated phenotyping technologies are capable of providing continuous and precise measurements traits that key to today’s crop research, breeding agronomic practices. In additional monitoring developmental changes, high-frequency high-precision phenotypic analysis can enable both accurate delineation the genotype-to-phenotype pathway identification genetic variation influencing environmental adaptation yield potential. Here, we present an automated scalable field platform called...
Ambient air pollution has adverse effects on the reproductive system. However, inconsistent conclusions were reached from different studies with regard to pollutants and pregnancy outcomes, especially livebirth rate in assisted technology (ART) windows of exposure.
Plants demonstrate dynamic growth phenotypes that are determined by genetic and environmental factors. Phenotypic analysis of features over time is a key approach to understand how plants interact with change as well respond different treatments. Although the importance measuring traits widely recognised, available open software tools limited in terms batch image processing, multiple analyses, usability cross-referencing results between experiments, making automated phenotypic problematic....
Wheat is one of the major crops in world, with a global demand expected to reach 850 million tons by 2050 that clearly outpacing current supply. The continual pressure sustain wheat yield due world’s growing population under fluctuating climate conditions requires breeders increase and stability across environments. We are working integrate deep learning into field-based phenotypic analysis assist this endeavour. have utilised images collected distributed CropQuant phenotyping workstations...
Plant phenomics bridges the gap between traits of agricultural importance and genomic information. Limitations current field-based phenotyping solutions include mobility, affordability, throughput, accuracy, scalability, ability to analyze big data collected. Here, we present a large-scale solution that combines commercial backpack Light Detection Ranging (LiDAR) device our analytic software, CropQuant-3D, which have been applied jointly phenotype wheat (Triticum aestivum) associated 3D...
Summary Low‐altitude aerial imaging, an approach that can collect large‐scale plant imagery, has grown in popularity recently. Amongst many phenotyping approaches, unmanned vehicles (UAVs) possess unique advantages as a consequence of their mobility, flexibility and affordability. Nevertheless, how to extract biologically relevant information effectively remained challenging. Here, we present A ir M easurer , open‐source expandable platform combines automated image analysis, machine learning...