A5101953158- Remote Sensing in Agriculture
- Wheat and Barley Genetics and Pathology
- Remote Sensing and Land Use
- Soil Geostatistics and Mapping
- Plant Disease Resistance and Genetics
- Spectroscopy and Chemometric Analyses
- Plant Water Relations and Carbon Dynamics
- Earthquake Detection and Analysis
- Irrigation Practices and Water Management
- Soil Moisture and Remote Sensing
- Rice Cultivation and Yield Improvement
- Fire effects on ecosystems
- Seismic Waves and Analysis
- Agricultural Productivity and Crop Improvement
- Soil and Unsaturated Flow
- Leaf Properties and Growth Measurement
- Smart Agriculture and AI
- Water Quality Monitoring and Analysis
- Remote Sensing and LiDAR Applications
- Plant Molecular Biology Research
- Seismology and Earthquake Studies
- Environmental and Agricultural Sciences
- Advanced Computational Techniques and Applications
- Greenhouse Technology and Climate Control
- Microbial Community Ecology and Physiology
Northwest A&F University
2017-2024
South China University of Technology
2024
Ministry of Education of the People's Republic of China
2021-2024
Northwest Institute of Mechanical and Electrical Engineering
2024
China Academy of Railway Sciences
2021
Agriculture and Forestry University
2020
Henan Agricultural University
2006-2019
National Administration of Surveying, Mapping and Geoinformation of China
2018
China Earthquake Administration
2008-2015
Lanzhou University of Technology
2010
Irrigation water management and real-time monitoring of crop stress status can enhance agricultural use efficiency, yield, quality. The aim this study was to simplify the calculation index (CWSI) improve its diagnostic accuracy. Simplified CWSI (CWSIsi) used diagnose for cotton that has received four different irrigation treatments (no stress, mild moderate severe stress) at flowering boll stage. High resolution thermal infrared multispectral images were taken using an Unmanned Aerial...
The accumulation of soil salt becomes a worldwide widespread phenomenon, being major threat to global production. As an environmental stress, salinity can reduce the vegetation photosynthetic activity. Solar-induced chlorophyll fluorescence (SIF) is electromagnetic signal actively released by during photosynthesis. SIF not only capture lower activity due stress promptly, but also less affected atmosphere and background. However, ability observation detect remains unclear. Here, we use...
Abstract Soil salinization is a serious restrictive factor affecting sustainable agricultural development. In order to explore the effect of Fractional Vegetation Cover (FVC), we monitored soil in sites different vegetation coverage Jiefangzha Irrigation District Inner Mongolia using satellite remote sensing. From May August 2018, carried out field sampling at depths each month, and calculated FVC spectral covariates GF‐1 images corresponding period. Based on division criteria for Mongolia,...
Soil salinization is a global problem closely related to the sustainable development of social economy. Compared with frequently-used satellite-borne sensors, unmanned aerial vehicles (UAVs) equipped multispectral sensors provide an opportunity monitor soil on-demand high spatial and temporal resolution. This study aims quantitatively estimate salt content (SSC) using UAV-borne imagery, explore deep mining data. For this purpose, total 60 samples (0-20 cm) were collected from Shahaoqu...
This paper presents our efforts to democratize ChatGPT across language. We release a large language model "Phoenix", achieving competitive performance among open-source English and Chinese models while excelling in languages with limited resources (covering both Latin non-Latin languages). believe this work will be beneficial make more accessible, especially countries where people cannot use due restrictions from OpenAI or local goverments. Our data, code, are available at...
Abstract Background The productivity of the medicinally significant perennial herb Rehmannia glutinosa is severely affected after first year cropping. While there some information available describing physiological and environmental causes this yield decline, as yet no data regarding changes in gene expression which occur when species continuously cropped. Results Using a massively parallel (Solexa) DNA sequencing platform, it was possible to identify quantify abundance large number R....
Knowing plant water content (PWC) is of great significance for precision irrigation field crop. The aim this study to monitor the PWC cotton non-destructively in situ. A six-band multispectral camera embedded on an unmanned aerial vehicle (UAV) was used collect images at flowering and boll-forming stages cotton. Thirteen vegetation indices (VI) were extracted from camera. Consequently, all VIs fused with canopy temperature mathematically into supply (VSWI). Unary multivariate models...
Feasible and efficient tissue culture plays an important role in plant genetic engineering. Wheat (Triticum aestivum L.) immature embryos (IMEs) are preferred for to mature (MEs) because IMEs easily generate embryogenic callus, producing large number of plants. The molecular mechanisms regulation the biological pathways involved callus formation wheat remain unclear. Here, microRNAs (miRNAs) potentially somatic embryogenesis were identified through deep sequencing small RNAs (sRNAs) analyzed...
Soil salinization is one of the main problems hindering agricultural development in arid and semi-arid regions. However, many previous studies soil monitoring failed to consider impact irrigation on salinity. To explore such impact, we used a UAV with portable spectrometer monitor dynamic change salinity before after spring irrigation. In this study, 120 samples at surface (0–10 cm) were taken Shahaoqu Irrigation Area, Inner Mongolia, China, mid-April (before irrigation) mid-June (after...
Soil salinization and water scarcity are main restrictive factors for irrigated agriculture development in arid regions. Knowing dynamics of soil salt content is an important antecedent remediating salinized soils optimizing irrigation management. Previous studies mostly used remote sensing technologies to individually monitor or agricultural areas. Their ability asses different levels crop management has been less explored. Therefore, how extract effective diagnostic features from images...