A5101789024- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Smart Agriculture and AI
- Genetic Mapping and Diversity in Plants and Animals
- Natural product bioactivities and synthesis
- Spectroscopy and Chemometric Analyses
- Crop Yield and Soil Fertility
- Phytochemistry and Biological Activities
- Traditional Chinese Medicine Analysis
- Land Use and Ecosystem Services
- Cholinesterase and Neurodegenerative Diseases
- Viral gastroenteritis research and epidemiology
- Phytochemical Studies and Bioactivities
- Ginseng Biological Effects and Applications
- 14-3-3 protein interactions
- Viral Infectious Diseases and Gene Expression in Insects
- Metabolomics and Mass Spectrometry Studies
- bioluminescence and chemiluminescence research
- Plant Pathogens and Fungal Diseases
- Chromatography in Natural Products
- Erythrocyte Function and Pathophysiology
- Prion Diseases and Protein Misfolding
- Nephrotoxicity and Medicinal Plants
- Plant Water Relations and Carbon Dynamics
- Viral Infections and Vectors
Shanxi Datong University
2018-2022
National Engineering Research Center for Information Technology in Agriculture
2018-2022
Ministry of Agriculture and Rural Affairs
2020-2022
China University of Mining and Technology
2018-2019
Guangdong Pharmaceutical University
2007-2016
Shandong Entry-Exit Inspection and Quarantine Bureau
2012
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 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...
The number of rice seedlings in the field is one main agronomic components for determining yield. This counting task, however, still mainly performed using human vision rather than computer and thus cumbersome time-consuming. A fast accurate alternative method acquiring such data may contribute to monitoring efficiency crop management practices, earlier estimations yield, as a phenotyping trait breeding programs. In this paper, we propose an efficient that uses accurately count digital...
Maize (zee mays L.) is one of the most important grain crops in China. Lodging a natural disaster that can cause significant yield losses and threaten food security. identification analysis contributes to evaluate cultivates lodging-resistant maize varieties. In this study, we collected visible multispectral images with an unmanned aerial vehicle (UAV), introduce comprehensive methodology workflow extract lodging features from UAV imagery. We use statistical methods screen several potential...
Above-ground biomass (AGB) is an important indicator for effectively assessing crop growth and yield and, in addition, ecological the efficiency with which crops use light store carbon ecosystems. However, most existing methods using optical remote sensing to estimate AGB cannot observe structures below maize canopy, may lead poor estimation accuracy. This paper proposes stem-leaf separation strategy integrated unmanned aerial vehicle LiDAR multispectral image data maize. First, correlation...
The leaf area index (LAI) is a key parameter for describing crop canopy structure, and of great importance early nutrition diagnosis breeding research. Light detection ranging (LiDAR) an active remote sensing technology that can detect the vertical distribution canopy. To quantitatively analyze influence occlusion effect, three flights multi-route high-density LiDAR dataset were acquired at two time points, using Unmanned Aerial Vehicle (UAV)-mounted RIEGL VUX-1 laser scanner altitude 15 m,...
The application of high-throughput phenotyping (HTP) techniques based on unmanned aerial vehicle (UAV) remote-sensing platforms to study large-scale population breeding opens the way more efficient acquisition dynamic phenotypic traits and provides new tools that should help close gap between genotyping traditional field-phenotyping methods. Toward this end we used a field UAV-HTP platform deploy RGB high-resolution camera acquire time-series images. By using three-dimensional reconstructed...
Poria cocos is a well-known medicinal plant widely used in China and other East Asian countries owing to its various therapeutic effects. Pachymic acid (PA) bioactive lanostrane-type triterpenoid from cocos. In this paper, method of high-performance liquid chromatographic (LC) coupled with triple quadrupole tandem mass spectrometry (QQQ-MS/MS) was developed validated investigate the concentration PA rat plasma. Samples were prepared by liquid–liquid extraction, separation achieved Phenomenex...
With environmental deterioration, natural resource scarcity, and rapid population growth, mankind is facing severe global food security problems. To meet future needs, it necessary to accelerate progress in breeding for new varieties with high yield strong resistance. However, the traditional phenotypic screening methods have some disadvantages, such as destructive, inefficient, low-dimensional, labor-intensive cumbersome, which seriously hinder development of field breeding. Breeders...
Abstract Plant height is the key factor for plant architecture, biomass and yield in maize ( Zea mays ). In this study, was investigated using unmanned aerial vehicle high-throughput phenotypic platforms (UAV-HTPPs) diversity inbred lines at four important growth stages. Using an automated pipeline, we extracted accurate heights. We found that temperate regions, from sowing to jointing period, rate faster than tropical maize. However, flowering stage, maintained a vigorous state, finally...
Patrinia scabiosaefolia Fisch. (PSF), a well-known traditional Chinese medicine, has been demonstrated to show therapeutic effects on inflammatory bowel disease. In this study, rapid and sensitive method using ultra-performance liquid chromatography/quadrupole time-of-flight mass spectrometry (UPLC/Q-TOF-MS) was developed for identification of the major constituents in PSF. The separation analysis performed Waters Acquity UPLC system, accurate molecules their fragment ions were determined by...
A rapid method for analysis of the main components Radix Glycyrrhizae (RG) was developed using ultra-performanceliquid chromatography with quadrupole-time-of-flight mass spectrometry (UPLC/Q-TOF-MS). Previous study demonstrated that RG had antivirus, antioxidant，anti-tumor and other bioactivities. The separation performed on Waters Acquity UPLC system accurate molecules their fragment ions were determined by Q-TOF MS. Fourty compounds including triterpenoid saponins, flavonoid glycosides...
Fructus Cnidii (FC) is a traditional Chinese medicine, but it has mild toxicity. To reveal mechanism of FC toxicity, we carried out metabonomics study. We exported mass data to be processed by chemometrics methods with R. Pattern recognition ability different in packages were evaluated. The result showed OPLS powerful discriminative pattern recognition. This work laid the foundation for selecting biomarkers toxicity it’s mechanism.