A5090269831- Remote Sensing in Agriculture
- Leaf Properties and Growth Measurement
- Remote Sensing and Land Use
- Spectroscopy and Chemometric Analyses
- Smart Agriculture and AI
- Plant Water Relations and Carbon Dynamics
- Remote Sensing and LiDAR Applications
- Urban Heat Island Mitigation
- Soil Geostatistics and Mapping
- Climate change impacts on agriculture
- Crop Yield and Soil Fertility
- Water Quality Monitoring and Analysis
- Greenhouse Technology and Climate Control
- Land Use and Ecosystem Services
- Environmental and Agricultural Sciences
- Rice Cultivation and Yield Improvement
- Genetic Mapping and Diversity in Plants and Animals
- Wheat and Barley Genetics and Pathology
- Solar Radiation and Photovoltaics
- Irrigation Practices and Water Management
- Soil Moisture and Remote Sensing
- Soil and Unsaturated Flow
- Environmental Changes in China
- Genetics and Plant Breeding
- Plant responses to elevated CO2
Institute of Crop Sciences
2012-2024
Chinese Academy of Agricultural Sciences
2012-2024
Institute of Bast Fiber Crops
2024
Wuhan University
2023
Sanya University
2023
Shihezi University
2020
Université d'Avignon et des Pays de Vaucluse
2017-2019
EMMAH - Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes
2016-2019
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
2017-2019
Institut National de la Recherche Agronomique
2019
Unmanned aerial vehicle (UAV)-based hyperspectral remote sensing is an important monitoring technology for the soil moisture content (SMC) of agroecological systems in arid regions. This develops precision farming and agricultural informatization. However, data are generally used mining. In this study, UAV-based imaging with a resolution o 4 cm totaling 70 samples (0–10 cm) were collected from farmland (2.5 × 104 m2) near Fukang City, Xinjiang Uygur Autonomous Region, China. Four estimation...
Acquisition of plant phenotypic information facilitates breeding, sheds light on gene action, and can be applied to optimize the quality agricultural forestry products. Because leaves often show fastest responses external environmental stimuli, leaf traits are indicators growth, health, stress levels. Combination new imaging sensors, image processing, data analytics permits measurement over full life span plants at high temporal resolution several organizational levels from organs individual...
Timely and accurate estimates of crop parameters are crucial for agriculture management. Unmanned aerial vehicles (UAVs) carrying sophisticated cameras very pertinent this work because they can obtain remote-sensing images with higher temporal, spatial, ground resolution than satellites. In study, we evaluated (i) the performance using a near-surface spectroscopy (350~2500 nm, 3 nm at 700 8.5 1400 6.5 2100 nm), UAV-mounted snapshot hyperspectral sensor (450~950 8 532 nm) high-definition...
Detection of senescence’s dynamics in crop breeding is time consuming and needs considerable details regarding its rate progression intensity. Normalized difference red-edge index (NDREI) along with four other spectral vegetative indices (SVIs) derived from unmanned aerial vehicle (UAV) based spatial imagery, were evaluated for rapid accurate prediction senescence. For this, 32 selected winter wheat genotypes planted under full limited irrigation treatments. Significant variations all five...
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...
The use of spectral features to estimate leaf area index (LAI) is generally considered a challenging task for hyperspectral data. In this study, the reflectance winter wheat was selected optimize selection and evaluate their performance in modeling LAI at various growth stages during 2008 2009. We extracted using different techniques, including spectra first derivative spectra, absorption position vegetation indices. order find best subset with predictive accuracy, partial least squares...
Tree stem detection is a key step toward retrieving detailed attributes from terrestrial laser scanning (TLS) data. Various point-based methods have been proposed for the point extraction at both individual tree and plot levels. The main limitation of their high computing demand when dealing with plot-level TLS Although segment-based can reduce computational burden uncertainties cloud classification, its application largely limited to urban scenes due complexity algorithm, as well conditions...
Knowledge of spatial and temporal variations in crop growth is important for management stable production the food security a country. A combination models remote sensing data useful method monitoring status estimating yield. The objective this study was to use spectral-based biomass values generated from spectral indices calibrate AquaCrop model using particle swarm optimization (PSO) algorithm improve yield estimations. Spectral reflectance concurrent were measured at Xiaotangshan...
Abstract A field experiment was conducted using three corn cultivars (Jingyu7, Nongda80 and Tangyu10) nitrogen (N) application rates (0, 75 150 kg N ha −1 ). The objectives of this study were to investigate the responses photosynthetic CO 2 assimilation (Ph), maximum quantum yield photosystem II (F v /F m ), leaf dry weight (LDW), concentration (LNC), sugar (LSC) sugar-to-nitrogen ratio (S/N) levels in different field-grown on sampling dates. results showed that LDW, F , Ph, LNC LSC...
Improving winter wheat water use efficiency in the North China Plain (NCP), is essential light of current irrigation shortages. In this study, AquaCrop model was used to calibrate, and validate crop performance under various planting dates application rates. All experiments were conducted at Xiaotangshan experimental site Beijing, China, during seasons 2008/2009, 2009/2010, 2010/2011 2011/2012. This first calibrated using data from 2008/2009 subsequently validated The results showed that...
Crop agronomic parameters (leaf area index (LAI), nitrogen (N) uptake, total chlorophyll (Chl) content ) are very important for the prediction of crop growth. The objective this experiment was to investigate whether wheat LAI, N and Chl could be accurately predicted using spectral indices collected at different stages Firstly, product optimized soil-adjusted vegetation biomass dry weight (OSAVI×BDW) were used estimate content; secondly, BDW replaced by establish new (OSAVI×OSAVI, OSAVI×SIPI,...
Worldwide, scarce water resources and substantial food demands require efficient use high yield. This study investigated whether irrigation frequency can be used to adjust soil moisture increase grain yield efficiency (WUE) of high-yield maize under conditions mulching drip irrigation. A field experiment was conducted using three intervals in 2016: 6, 9, 12 days (labeled D6, D9, D12) five 2017: 3, 12, 15 (D3, D12, D15). In Xinjiang, an optimal quota is 540 mm for maize. The D3, D15 gave...