A5005698391- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Remote Sensing and Land Use
- Leaf Properties and Growth Measurement
- Smart Agriculture and AI
- Spectroscopy and Chemometric Analyses
- Land Use and Ecosystem Services
- Soil Moisture and Remote Sensing
- Horticultural and Viticultural Research
- Crop Yield and Soil Fertility
- Plant Water Relations and Carbon Dynamics
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Soil Geostatistics and Mapping
- Seed and Plant Biochemistry
- Water Quality Monitoring and Analysis
- Urban Heat Island Mitigation
- Concrete and Cement Materials Research
- Environmental and Agricultural Sciences
- Remote-Sensing Image Classification
- Plant Physiology and Cultivation Studies
- Agronomic Practices and Intercropping Systems
- Magnesium Oxide Properties and Applications
- Advanced Algorithms and Applications
- Privacy-Preserving Technologies in Data
- Soil Mechanics and Vehicle Dynamics
National Engineering Research Center for Information Technology in Agriculture
2016-2025
China-Japan Friendship Hospital
2025
Ministry of Agriculture and Rural Affairs
2020-2025
Duke University
2024-2025
Johns Hopkins University
2024-2025
Huawei Technologies (China)
2025
South China Normal University
2024-2025
Université de Montréal
2024
Nanjing University of Aeronautics and Astronautics
2024
China Agricultural University
2018-2024
Above-ground biomass (AGB) is a basic agronomic parameter for field investigation and frequently used to indicate crop growth status, the effects of agricultural management practices, ability sequester carbon above below ground. The conventional way obtain AGB use destructive sampling methods that require manual harvesting crops, weighing, recording, which makes large-area, long-term measurements challenging time consuming. However, with diversity platforms sensors improvements in spatial...
Abstract Formalin-fixed paraffin-embedded (FFPE) tissues constitute a vast and valuable patient material bank for clinical history follow-up data. It is still challenging to achieve single cell/nucleus RNA (sc/snRNA) profile in FFPE tissues. Here, we develop droplet-based snRNA sequencing technology (snRandom-seq) by capturing full-length total RNAs with random primers. snRandom-seq shows minor doublet rate (0.3%), much higher coverage, detects more non-coding nascent RNAs, compared...
Leaf area index (LAI) and biomass are frequently used target variables for agricultural ecological remote sensing applications. Ground measurements of winter wheat LAI were made from March to May 2014 in the Yangling district, Shaanxi, Northwest China. The corresponding remotely sensed data obtained earth-observation satellites Huanjing (HJ) RADARSAT-2. objectives this study (1) investigate relationships with several optical spectral vegetation indices (OSVIs) radar polarimetric parameters...
Abstract Plant height (PH) is a key factor in maize ( Zea mays L.) yield, biomass, and plant architecture. We investigated the PH of diverse inbred lines (117 temperate lines, 135 tropical lines) at four growth stages using unmanned aerial vehicle high-throughput phenotypic platforms (UAV-HTPPs). extracted data an automated pipeline based on crop surface models orthomosaic model. The correlation between UAV manually measured reached 0.95. Under field conditions, grew faster than early...
Phenotyping under field environmental conditions is often considered as a bottleneck in crop breeding. Unmanned aerial vehicle high throughput phenotypic platform (UAV-HTPP) mounted with multi-sensors offers an efficiency, non-invasive, flexible and low-cost solution large-scale breeding programs compared to ground investigation, especially where measurements are time-sensitive. This study was conducted at the research station of Xiao Tangshan National Precision Agriculture Research Center...
Precision agriculture has the potential to deliver improved and more sustainable food production. Despite various Chinese policy initiatives strengthen national security, there is evidence that adoption of precision technologies in China been much lower when compared other developed agricultural economies. This study therefore aims explore factors determine farmers' cropping systems provide recommendations on technology promotion future. The current status by smallholder farmers within crop...
Accurate yield estimation at the field scale is essential for development of precision agriculture management, whereas district level it can provide valuable information supply chain management. In this paper, Huan Jing (HJ) satellite HJ1A/B and Landsat 8 Operational Land Imager (OLI) images were employed to retrieve leaf area index (LAI) canopy cover (CC) in Yangling (Central China). These variables then assimilated into two crop models, Aquacrop simple algorithm (SAFY), order compare their...
The normalized difference vegetation index (NDVI) is crucial to many sustainable agricultural practices such as monitoring and health evaluation. However, optical remote sensing data often suffer from a large amount of missing information due sensor failures harsh atmospheric conditions. synthetic aperture radar (SAR) offers new approach filling in based on its excessive revisit density potential image without interference clouds rain. Due the imaging mechanisms between SAR sensors, it very...
Rapidly developing remote sensing techniques are shedding new light on large-scale crop growth status monitoring, especially in recent applications of unmanned aerial vehicles (UAVs). Many inversion models have been built to estimate variables. However, the present methods focused building for each single stage, and features generally used vegetation indices (VI) or joint VI with data derived from UAV-based sensors (e.g., texture, RGB color information, canopy height). It is obvious these...