A5101728887- Smart Agriculture and AI
- Spectroscopy and Chemometric Analyses
- Advanced Chemical Sensor Technologies
- UAV Applications and Optimization
- Video Surveillance and Tracking Methods
- Identification and Quantification in Food
- Agriculture Sustainability and Environmental Impact
- Air Quality Monitoring and Forecasting
- Industrial Vision Systems and Defect Detection
- Tea Polyphenols and Effects
- Leaf Properties and Growth Measurement
- Remote Sensing in Agriculture
Anhui Agricultural University
2019-2023
Xiangtan University
2021
The detection and counting of wheat ears are very important for crop field management, yield estimation, phenotypic analysis. Previous studies have shown that most methods detecting were based on shallow features such as color texture extracted by machine learning methods, which obtained good results. However, due to the lack robustness these features, it was difficult above-mentioned meet in natural scenes. Other convolutional neural network (CNN) could be used achieve ear counting....
Soluble solids content (SSC) is one of the important components for evaluating fruit quality. The rapid development hyperspectral imagery provides an efficient method non-destructive detection SSC. Previous studies have shown that internal quality evaluation fruits based on spectral information features achieves better results. However, lack comprehensive limits accurate estimation Therefore, deep learning theory applied to soluble solid peaches, a estimating SSC fresh peaches image fusion...
The extraction of wheat lodging is great significance to post-disaster agricultural production management, disaster assessment and insurance subsidies. At present, the recognition in actual complex field environment still has low accuracy poor real-time performance. To overcome this gap, first, four-channel fusion images, including RGB DSM (digital surface model), as well ExG (excess green), were constructed based on image acquired from unmanned aerial vehicle (UAV). Second, a Mobile U-Net...
Polyphenols are one of the important ingredients determining quality tea, which play an role in affecting tea standards and control. At present, NIR spectroscopy technology has been widely used detection to achieve good results. However, due lack spatial features, it is difficult meet accuracy requirements comprehensively judge both inside outside tea. With development hyperspectral imaging system (HIS), although progress made estimation texture based on gray level co-occurrence matrix...
The leaf nitrogen content (LNC) of wheat is one key bases for fertilizer management and nutritional diagnosis, which great significance to the sustainable development precision agriculture. canopy spectrum provides an effective way monitor wheat. Previous studies have shown that features extracted from spectrum, such as vegetation indices (VIs) band positions (BPs), successfully achieved monitoring crop nutrition. However, mentioned above are spectral on basis linear or nonlinear combination...
Lodging is a common natural disaster during wheat growth. The accurate identification of lodging great significance for early warnings and post-disaster assessment. With the widespread use unmanned aerial vehicles (UAVs), large-scale monitoring has become very convenient. In particular, semantic segmentation widely used in recognition high-resolution field scene images from UAVs, providing new technical path lodging. However, there are still problems, such as insufficient data, blurred image...
Food security refers to the state where everyone can stably get enough food. If food system meet our nutritional needs at different stages of life in an economical, easy and sustainable way, it be defined that is safe. People make plans determine long-term capabilities direction system. The 2020 COVID-19 pandemic outbreak locust plague eastern Africa have dimmed economic outlook. Therefore, Ω model established which uses entropy method quantify survival or decline a with biodiversity,...