A5026562736- Remote Sensing in Agriculture
- Spectroscopy and Chemometric Analyses
- Leaf Properties and Growth Measurement
- Remote Sensing and Land Use
- Smart Agriculture and AI
- Wheat and Barley Genetics and Pathology
- Agricultural Productivity and Crop Improvement
- Plant Pathogens and Fungal Diseases
- Land Use and Ecosystem Services
- Remote Sensing and LiDAR Applications
- Agriculture and Biological Studies
- Agriculture, Plant Science, Crop Management
- Urban Heat Island Mitigation
- Crop Yield and Soil Fertility
- Remote-Sensing Image Classification
- Powdery Mildew Fungal Diseases
- Technology and Security Systems
- Mycotoxins in Agriculture and Food
- Botany and Plant Ecology Studies
- Plant Pathogens and Resistance
National Engineering Research Center for Information Technology in Agriculture
2023-2024
Ministry of Agriculture and Rural Affairs
2023-2024
Henan Agricultural University
2021-2024
National Engineering Research Center for Wheat
2021-2023
Powdery mildew has a negative impact on wheat growth and restricts yield formation. Therefore, accurate monitoring of the disease is great significance for prevention control powdery to protect world food security. The canopy spectral reflectance was obtained using ground feature hyperspectrometer during flowering filling periods wheat, then Savitzky-Golay method used smooth measured data, as original reflectivity (OR). Firstly, OR spectrally transformed mean centralization (MC),...
Powdery mildew severely affects wheat growth and yield; therefore, its effective monitoring is essential for the prevention control of disease global food security. In present study, a spectroradiometer thermal infrared cameras were used to obtain hyperspectral signature images data, temperature parameters (TP) texture features (TF) extracted from RGB with powdery mildew, during flowering filling periods. Based on ten vegetation indices data (VI), TF TP integrated, partial least square...
Powdery mildew is a disease that threatens wheat production and causes severe economic losses worldwide. Its timely diagnosis imperative for preventing controlling its spread. In this study, the multi-angle canopy spectra severity of were investigated at several developmental stages degrees severity. Four wavelength variable-selected algorithms: successive projection (SPA), competitive adaptive reweighted sampling (CARS), feature selection learning (Relief-F), genetic algorithm (GA), used to...
Leaf area index (LAI) is a key variable for monitoring crop growth. Compared with traditional measurement methods, unmanned aerial vehicle (UAV) remote sensing offers cost-effective and efficient approach rapidly obtaining LAI. Although there extensive research on rice LAI estimation, many studies suffer from the limitations of models that are only applicable to specific scenarios unclear applicability conditions. In this study, we selected commonly used RGB multispectral (Ms) data sources,...
Wheat yellow mosaic disease is a low-temperature and soil-borne disease. Crop infection by the virus can lead to severe yield economic losses. It easily confused with nitrogen deficiency based on plant’s morphological characteristics. Timely detection crop management in field require precise identification of stress types. However, often underappreciated. were investigated wheat physiological biochemical experiments conducted collect agronomic indicators, four years reflectance spectral data...
Real-time non-destructive monitoring of water use efficiency (WUE) is important for screening high-yielding high-efficiency varieties and determining the rational allocation resources in winter wheat production. Compared with vertical observation angles, multi-angle remote sensing provides more information on mid to lower parts canopy, thereby improving estimates physical chemical indicators entire canopy. In this study, spectral reflectance WUE canopy were obtained at different growth...
Wheat yellow mosaic disease (WYMD) is a low-temperature soil-borne that causes serious yield and economic losses. Reflectance spectroscopy has great potential for detecting crop diseases, but it not been applied detection of WYMD. Herein, we collected 2 years wheat physiological reflectance data at green-up jointing stages, conducted studies. We evaluated standard normal variate (SNV), multiplicative scatter correction (MSC), spectral separation soil vegetation (3SV) as preprocessing methods...
Southern blight significantly impacts peanut yield, and its severity is exacerbated by high-temperature high-humidity conditions. The mycelium attached to the plant’s interior quickly proliferates, contributing challenges of early detection data acquisition. In recent years, integration machine learning remote sensing has become a common approach for disease monitoring. However, poor quality imbalance samples can impact performance algorithms. This study employed Synthetic Minority...
Quantifying the effect of maize tassel on canopy reflectance is essential for creating a tasseling progress monitoring index, aiding precision agriculture monitoring, and understanding vegetation radiative transfer. Traditional field measurements often struggle to detect subtle differences caused by tassels due complex environmental factors challenges in controlling variables. The three-dimensional (3D) transfer model offers reliable method study this relationship accurately simulating...
As an important indicator of the photosynthetic capacity crops, canopy chlorophyll content (CCC) is nondestructively estimated by reflectance using various spectrometers. Crop growth often severely affected Nitrogen (N) deficiency and diseases, compatibility data collected for different stressors needs further clarification to develop unified estimation models. In this field experimental study, hyperspectral wheat were collected, along with content, assess nitrogen powdery mildew stress....
As an important indicator of the photosynthetic capacity crops, canopy chlorophyll content (CCC) is nondestructively estimated by reflectance obtained using various spectrometers. Crop growth often severely affected N deficiency and diseases, compatibility between different stress data to develop unified estimation models needs further clarification. In this study, in field experimental conditions, hyperspectral wheat for nitrogen powdery mildew were collected, along with content....