- Remote Sensing in Agriculture
- Remote Sensing and Land Use
- Smart Agriculture and AI
- Spectroscopy and Chemometric Analyses
- Land Use and Ecosystem Services
- Hippo pathway signaling and YAP/TAZ
- Leaf Properties and Growth Measurement
- Remote Sensing and LiDAR Applications
- Hydrology and Watershed Management Studies
- Climate variability and models
- Environmental Changes in China
- Plant Pathogens and Fungal Diseases
- Advanced Computational Techniques and Applications
- Essential Oils and Antimicrobial Activity
- Urban Heat Island Mitigation
- Climate change impacts on agriculture
- Service-Oriented Architecture and Web Services
- Hydrology and Drought Analysis
- Flood Risk Assessment and Management
- Garlic and Onion Studies
- Particle physics theoretical and experimental studies
- Soybean genetics and cultivation
- Legume Nitrogen Fixing Symbiosis
- Nematode management and characterization studies
- Greenhouse Technology and Climate Control
Henan Agricultural University
2013-2025
The University of Tokyo
2023-2024
Houston Methodist
2024
Weill Cornell Medicine
2024
Methodist Hospital
2024
Cornell University
2024
Shaanxi University of Science and Technology
2022-2024
Chinese PLA General Hospital
2024
Xi'an Jiaotong University
2011-2023
Southeast University
2023
Nearly, a quarter of the world’s population does not have enough food for normal living and nearly 1 billion people become hungry every year. One reasons undernourishment hunger is drought, which reduces agricultural production leading to insecurity situation. In half years twenty-first century, drought was main cause shortage in world grain compared its consumption, creating problem with security. November 2017, new generation NOAA operational satellite, JPSS-1, VIIRS instrument on board...
Abstract Background To accurately estimate winter wheat leaf area index (LAI) using unmanned aerial vehicle (UAV) hyperspectral imagery is crucial for crop growth monitoring, fertilization management, and development of precision agriculture. Methods The UAV imaging data, Analytical Spectral Devices (ASD) LAI were simultaneously obtained at main stages (jointing stage, booting filling stage) various varieties under nitrogen fertilizer treatments. characteristic bands related to extracted...
Abstract. To make first-order estimates of the probability moraine-dammed lake outburst flood (MDLOF) and prioritize probabilities breaching posed by potentially dangerous lakes (PDMDLs) in Chinese Himalayas, an objective approach is presented. We first select five indicators to identify PDMDLs according four predesigned criteria. The climatic background was regarded as precondition moraine-dam failure, under different preconditions, we distinguish trigger mechanisms MDLOFs subdivide them...
During 2015, sea surface temperature (SST) in the central tropical Pacific (TP) was warmer than normal, what indicated about potential for development of El Niño Southern Oscillation (ENSO). By December intensified when SST anomaly Niño-3.4 area reached +2.9 °C, which strongest event past 36 years. normally impacts weather, ecosystems, and socioeconomics (agriculture, fisheries, energy, human health, water resource etc.) on all continents. However, current is much stronger recent strong...
Food-borne methicillin-resistance Staphylococcus aureus (MRSA) has caused significant health threats and economic loss in livestock poultry products. Garlic essential oil (GEO) is an effective antibacterial agent but presents strong instability hydrophobicity. In this study, GEO water nanoemulsion (GEON) with good stability was produced by emulsification technique of high-power ultrasound. Its activity underlying mechanism against MRSA isolated from retailed pork were investigated. Results...
Crop disease identification and monitoring is an important research topic in smart agriculture. In particular, it a prerequisite for detection the mapping of infected areas. Wheat fusarium head blight (FHB) serious threat to quality yield wheat, so rapid wheat FHB important. This study proposed method based on unmanned aerial vehicle (UAV) low-altitude remote sensing multispectral imaging technology combined with spectral textural analysis monitor FHB. First, imagery population was collected...
Against the background of global warming, urban blue–green spaces (UBGS) are important carbon sequestration (CS) carriers that can reduce emissions. However, previous studies on CS were mostly limited to green or blue separately and lack a comprehensive consideration synergistic impact UBGS CS. In addition, research driving mechanism between spatial patterns (UBGSP) has so far been insufficient. Therefore, in this study, we explored correlation UBGSP CS, identified affecting factors,...
Garlic essential oil (GEO) in water nanoemulsion (GEON) has been reported to possess good stability and broad-spectrum antibacterial activity, but its effect on Listeria monocytogenes is rarely studied. In the present study, antibacterial, anti-biofilm formation activity underlying mechanism of GEON against L. were investigated. Results showed that (mean particle size = 136.43 nm) significantly inhibited growth planktonic monocytogenes, minimum inhibitory concentration (MIC) GEO was 512...
The first 13 years of the twenty-first century have begun with a series widespread, long and intensive droughts around world. Extreme severe-to-extreme intensity covered 2%–6% 7%–16% world land, respectively, affecting environment, economies humans. These reduced agricultural production, leading to food shortages, human health deterioration, poverty, regional disturbances, population migration death. This feature article is travelogue twenty-first-century global during warmest past 100...
The timely monitoring of crop disease development is very important for precision agriculture applications. Remote sensing-based vegetation indices (VIs) can be good indicators severity, but current methods are mainly dependent on manual ground survey results. Based VI normalization, an automated severity grading method without the use surveys was proposed in this study. This technique applied to two cotton fields infested with different levels root rot south Texas United States, where...
Abstract Background Fractional vegetation cover (FVC) is an important parameter for evaluating crop-growth status. Optical remote-sensing techniques combined with the pixel dichotomy model (PDM) are widely used to estimate cropland FVC medium high spatial resolution on ground. However, PDM-based estimation limited by effects stemming from variation of crop canopy chlorophyll content (CCC). To overcome this difficulty, we propose herein a “fan-shaped method” (FSM) that uses CCC spectral index...
Crop leaf chlorophyll content (LCC) and fractional vegetation cover (FVC) are crucial indicators for assessing crop health, growth development, maturity. In contrast to the traditional manual collection of trait parameters, unmanned aerial vehicle (UAV) technology rapidly generates LCC FVC maps breeding materials, facilitating prompt assessments maturity information. This study addresses following research questions: (1) Can image features based on pretrained deep learning networks ensemble...
Wheat is one of the most important staple crops globally. Timely mapping and monitoring wheat harvests are essential for efficiently scheduling large-scale harvesters, ensuring timely completion harvest, maintaining grain quality. Traditional manual survey methods obtaining harvest information neither highly accurate nor cost-effective do not meet needs agricultural management departments. This study introduces two novel indices detection: optical-band brightness index (OBHI) visible-band...
Weather-related crop losses have always been a concern for farmers, governments, traders, and policy-makers the purpose of balanced food supply/demands, trade, distribution aid to nations in need. Among weather disasters, drought plays major role large-scale losses. This paper discusses utility operational satellite-based vegetation health (VH) indices modelling cereal yield early warning drought-related The were tested Saratov oblast (SO), one principal grain growing regions Russia....
Since 1990, the role of satellite observations for climate and land services increased considerably, especially with introduction in 2011 new generation NOAA operational satellites, called Suomi NPOSS Polar-Orbiting Partnership (S-NPP). S-NPP will continue as Joint Polar Satellite System (JPSS) next two decades. The Visible Infrared Imaging Radiometer Suite (VIIRS) on spacecraft is accommodating best technical scientific features its predecessors has several important features. JPSS,...
During 2014 and early 2015, scientific online publications strongly focused on the multi-year drought over western USA, showing its dramatic consequences for US economy, environment society. Considering such an extraordinary drought, many questions related to beginning, duration, dynamics, intensity, genesis, extent frequency became unanswered even controversial. How different is this current event from of 1930s other intensive droughts? Can be classified as a mega-drought? This paper...
The seasonal and interannual dynamics of tropical rainforests play a critical role in the global carbon cycle climate change. This paper retrieved compared land surface phenology from observations acquired by Spinning Enhanced Visible Infrared Imager (SEVIRI) onboard geostationary satellites Moderate Resolution Imaging Spectroradiometer (MODIS) on polar-orbiting over Congo Basin. To achieve this, we first canopy greenness cycles (CGCs) their transition timing two-band enhanced vegetation...
The unmanned aerial vehicle (UAV) image spectral information and texture feature (TF) were fused to develop an improved model for winter wheat leaf nitrogen content (LNC) monitoring provide a reference status accurate management. data of LNC UAV-hyperspectral imaging simultaneously obtained at the main growth stages (jointing, booting, filling stages) various varieties under fertilizer treatments. correlation between vegetation indexes (VIs) in combination any two bands, TFs, systematically...