A5041649815- Smart Agriculture and AI
- Advanced Measurement and Detection Methods
- Ferroelectric and Piezoelectric Materials
- Integrated Energy Systems Optimization
- Nanocomposite Films for Food Packaging
- Advanced Chemical Sensor Technologies
- Medical Image Segmentation Techniques
- Multiferroics and related materials
- Remote Sensing in Agriculture
- Remote Sensing and Land Use
- Microwave Dielectric Ceramics Synthesis
- Image and Signal Denoising Methods
- Optical measurement and interference techniques
- Image Processing Techniques and Applications
- Optical Systems and Laser Technology
- Spectroscopy and Chemometric Analyses
- Underwater Acoustics Research
- Internet Traffic Analysis and Secure E-voting
- Embedded Systems and FPGA Design
- Rocket and propulsion systems research
- Power System Reliability and Maintenance
- Agricultural Innovations and Practices
- Machine Fault Diagnosis Techniques
- Magnetic and transport properties of perovskites and related materials
- Privacy-Preserving Technologies in Data
Jilin Agricultural University
2012-2025
Sinopec (China)
2023-2024
Dalian University of Technology
2024
China Telecom (China)
2012-2024
China Telecom
2024
China University of Petroleum, Beijing
2020-2022
Jilin University
2012-2022
Hunan Agricultural University
2022
China University of Petroleum, East China
2021
Dalian Naval Academy
2019-2021
Lettuce is an annual plant of the family Asteraceae. It most often grown as a leaf vegetable, but sometimes for its stem and seeds, growth status quality are evaluated based on morphological phenotypic traits. However, traditional measurement methods labor-intensive time-consuming due to manual measurements may result in less accuracy. In this study, we proposed new method utilizing RGB images Mask R-Convolutional Neural Network (CNN) estimating lettuce critical Leveraging publicly available...
Phenotypic traits of fungi and their automated extraction are crucial for evaluating genetic diversity, breeding new varieties, estimating yield. However, research on the high-throughput, rapid, non-destructive fungal phenotypic using 3D point clouds remains limited. In this study, a smart phone is used to capture multi-view images shiitake mushrooms (Lentinula edodes) from three different heights angles, employing YOLOv8x model segment primary image regions. The segmented were reconstructed...
Effective lettuce cultivation requires precise monitoring of growth characteristics, quality assessment, and optimal harvest timing. In a recent study, deep learning model based on multimodal data fusion was developed to estimate phenotypic traits accurately. A dual-modal network combining RGB depth images designed using an open dataset. The incorporated both feature correction module module, significantly enhancing the performance in object detection, segmentation, trait estimation....
One important classical research area in automated cartographic generalization is simplification. Over the past few decades, numerous scholars have proposed various methods for polygon and line simplification, most of which focused on vector data. However, with rapid development computer vision technology, unstructured image analysis processing has provided a plethora information, as well new challenges. Therefore, this article, we propose method simplifying polygonal linear features:...
Solving the problem of stem contour extraction maize is difficult under open field conditions, and diameter cannot be measured quickly nondestructively. In this paper, at small large bell stages was object study. An adaptive threshold segmentation algorithm based on color space model proposed to obtain in field. Firstly, 2D images were captured with an RGB-D camera. Then, processed by hue saturation value (HSV) space. Next, extracted maximum between-class variance (Otsu). Finally, reference...
This study investigated the dietary supplementation of starches with different carbohydrate sources on proximate composition, meat quality, flavor substances, and volatile substances in Chinese Xiangxi yellow cattle. A total 21 steers (20 ± 0.5 months, 310 kg 5.85 kg) were randomly divided into three groups (control, corn, barley groups), seven per group. The control received a conventional diet (coarse forage type: whole silage corn at end dough stage as main source), group source, source....
As population aging is becoming more common worldwide, applying artificial intelligence into the diagnosis of Alzheimer’s disease (AD) critical to improve diagnostic level in recent years. In early AD, fusion complementary information contained multimodality data (e.g., magnetic resonance imaging (MRI), positron emission tomography (PET), and cerebrospinal fluid (CSF)) has obtained enormous achievement. Detecting using two difficulties: (1) there exists noise multimodal data; (2) how...
The target region and diameter of maize stems are important phenotyping parameters for evaluating crop vitality estimating biomass. To address the issue that obtained after transplantation may not accurately reflect true growth conditions maize, a monitoring technology based on an internal gradient algorithm is proposed acquiring stems. Observations were conducted during small bell stage maize. First, color images plants captured by Intel RealSense D435i camera. information in image was...
Abstract Mid‐infrared diffuse reflectance spectroscopy was used to rapidly and nondestructively identify tea varieties together with the proposed possibilistic fuzzy c‐means (PFCM) clustering a covariance matrix. The mid‐infrared spectra of 96 samples three different (Emeishan Maofeng, Level 1, 6 Leshan trimeresurus) were acquired using FTIR‐7600 infrared spectrometer. First, multiplicative scatter correction implemented pretreat spectral data. Second, principal component analysis employed...
To characterize chemical carcinogens in acidic-nitrosated fish sauce sample, N-nitrosamides the sample were separated by two kinds of reversed-phase HPLC columns, and with detection photolysis-pyrolysis-thermal energy analyzer. A strong chromatographic peak at t(R) 12 or 4.5 min, same as that for N-(nitrosomethyl)urea (NMU), was obtained on PRP-1 C(18) column from 10 mM trifluoroacetic acid basic mobile; acetonitrile, organic modifier after nitrosated 5 mmol/L sodium nitrite (final...