A5086358280- Spectroscopy and Chemometric Analyses
- Identification and Quantification in Food
- Spectroscopy Techniques in Biomedical and Chemical Research
- Meat and Animal Product Quality
- Thermochemical Biomass Conversion Processes
- Advanced Chemical Sensor Technologies
- Mineral Processing and Grinding
- Remote Sensing in Agriculture
- Composting and Vermicomposting Techniques
- Biofuel production and bioconversion
- Water Quality Monitoring and Analysis
- Agriculture Sustainability and Environmental Impact
- Smart Agriculture and AI
- Gold and Silver Nanoparticles Synthesis and Applications
- Food composition and properties
- Adsorption and biosorption for pollutant removal
- Melamine detection and toxicity
- Heavy metals in environment
- Listeria monocytogenes in Food Safety
- Remote Sensing and LiDAR Applications
- Soil Geostatistics and Mapping
- Biosensors and Analytical Detection
- Nanomaterials for catalytic reactions
- Mercury impact and mitigation studies
- Forest Biomass Utilization and Management
China Agricultural University
2016-2025
Ministry of Agriculture and Rural Affairs
2018
State Key Laboratory of Animal Nutrition
2010-2014
Ministry of Education of the People's Republic of China
2008
Abstract Upland rice is a distinct ecotype that grows in aerobic environments and tolerates drought stress. However, the genetic basis of its resistance unclear. Here, using an integrative approach combining genome-wide association study with analyses introgression lines transcriptomic profiles, we identify gene, DROUGHT1 ( DROT1 ), encoding COBRA-like protein confers rice. specifically expressed vascular bundles directly repressed by ERF3 activated ERF71, both drought-responsive...
The advancements in unmanned aerial vehicle (UAV) technology have recently emerged as an effective, cost-efficient, and versatile solution for monitoring crop growth with high spatial temporal precision. This is usually achieved through the computation of vegetation indices (VIs) from agricultural lands. VIs are based on incoming radiance to camera, which affected when there a change scene illumination. Such will cause subsequent measures, e.g., VI-based chlorophyll-content estimation. In...
A new method for characterizing the aerobic layer thickness in pig manure based on Fourier transform infrared microspectroscopy (FTIRM) is presented to improve anaerobic/aerobic co-process mechanism, ensure adequate oxygen supply and, thus, minimize methane emissions during composting. Freeze-dried particles were microtomed into 10 μm thick sections; spectral range, resolution, and pixel dimensions transmission spectra 4000–650 cm–1, 16 6.25 × μm, respectively. mean spectrum of scans was...
The high-frequency detection of plant-scale crop growth in the field has great significance for achieving precise management and improving breeding practices. In this study, biomass (BM), chlorophyll (Chl), total nitrogen (TN) contents upper three leaves corn canopy are taken as examples, unmanned aerial vehicle (UAV) indoor hyperspectral imaging (HSI) models established using partial least squares regression support vector machine regression, respectively. performance UAV HSI model was...
Abstract A local‐based method for near‐infrared spectroscopy predictions, the local partial least squares regression on global PLS scores (LPLS‐S), is proposed in this work and compared with usual (LPLS) approach. LPLS‐S based idea of replacing original spectra a score matrix before using LPLS. This done aim increasing speed calculations, which can be an important parameter online applications particular, especially when implemented large databases. In study, performance two approaches was...
Unmanned aerial vehicles (UAVs) equipped with multispectral cameras offer great potential for applications in precision agriculture. A critical challenge that limits the deployment of this technology is varying ambient illumination caused by cloud movement. Rapidly changing solar irradiance primarily affects radiometric calibration process, resulting reflectance distortion and heterogeneity final generated orthomosaic. In study, we optimized block adjustment (RBA) method, which corrects...
This study was aimed at exploring the feasibility of detecting and quantifying melamine, structural analogue cyanuric acid, contamination in soybean meal, using line-scan near infrared (NIR) hyperspectral imaging spectroscopy (HIS). Soybean meal is one main ingredients used feed industry because it offers a complete protein profile. Each year, demand increases for products soya oil, consumption which directly boosted by Chinese consumers' growing wealth, indirectly affected meat. Recent...