Yanpeng Ma

Estimation of potato leaf chlorophyll content using machine learning and UAV-based multimodal data fusion with Boruta-SHAP feature optimization

Mingbo Bian, Haikuan Feng, Riqiang Chen, Yiguang Fan et autres

Accurate estimation of leaf chlorophyll content (LCC) is critical for monitoring crop physiological status and supporting precision management. This study proposes a multimodal regression framework that integrates unmanned aerial vehicle (UAV)-based hyperspectral and RGB imagery with ground-measured LCC data for estimating potato …

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WMA-YieldNet: A weather-modulated attention network for cross-year winter wheat yield prediction using multi-stage hyperspectral data

Jiejie Fan, Yiguang Fan, Riqiang Chen, Yang Liu et autres

PINN-AMF: A physics-informed neural network with attention-based multi-source fusion for robust chlorophyll retrieval from UAV hyperspectral imagery

Mingbo Bian, Jibo Yue, Riqiang Chen, Yiguang Fan et autres

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UAV-based remote sensing estimation of above-ground biomass in different crops: A review

Yang Liu, Yiguang Fan, Jibo Yue, Yanpeng Ma et autres

• Explained the mechanism of estimating AGB from UAV remote sensing. • Compared the potential and limitations of different types of sensors. • Summarized the model features used to estimate crop AGB. • Analyzed the performance and drawbacks of AGB estimation methods. …

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18FAl-NOTA-FAPI PET/CT Outperforms 18F-FDG PET/CT in Detecting Gastrointestinal Metastasis of Lobular Breast Carcinoma

Annan Zhang, Ming Zu, Yanpeng Ma, Shigang Ding et autres

A 57-year-old woman with a history of right breast cancer surgery 22 years prior presented with CT findings of gastric and intestinal wall thickening, accompanied by mild-to-moderate FDG uptake on 18F-FDG PET/CT. Pathological results showed lobular breast cancer metastasis. The lesions showed …

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Impact of Subcutaneous Adipose Tissue Index Change During Neoadjuvant Chemoradiotherapy on Disease-Free Survival and Tumor Response in Patients with Locally Advanced Rectal Cancer

Qing Yang, Siyi Lu, Ruize Qu, Nan Zhang et autres

Background & Aims:The heterogeneity among patients with locally advanced rectal cancer (LARC) necessitates identifying predictive markers of response to neoadjuvant chemoradiotherapy (nCRT) to enable personalized treatment strategies.Adipose tissue, which reflects nutritional status and chronic inflammation, has been implicated in tumorigenesis and disease …

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Combining multiple spectral preprocessing and wavelength optimization methods improves potato aboveground biomass estimation

Yang Liu, Yiguang Fan, Jiejie Fan, Jibo Yue et autres

Aboveground biomass (AGB) reflects the accumulation of crop photosynthesis, and AGB data guide agricultural production and field management practices. AGB can be estimated using UAV hyperspectral data; however, external factors and high-dimensional data lead to uncertainties. To address these issues, a cascading …

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Enhancing potato leaf protein content, carbon-based constituents, and leaf area index monitoring using radiative transfer model and deep learning

Haikuan Feng, Yiguang Fan, Jibo Yue, Yanpeng Ma et autres

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Estimation of potato above-ground biomass based on the VGC-AGB model and deep learning

Haikuan Feng, Yiguang Fan, Jibo Yue, Mingbo Bian et autres

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Utilizing UAV-based hyperspectral remote sensing combined with various agronomic traits to monitor potato growth and estimate yield

Yang Liu, Haikuan Feng, Yiguang Fan, Jibo Yue et autres

Timely and accurate monitoring of potato crop growth and estimating yields are essential to improve agricultural production. Unmanned aerial vehicle (UAV)-based hyperspectral remote sensing is a non-destructive method for crop growth monitoring (CGM) and yield estimation, which plays a vital role in …

Estimation of potato leaf area index based on spectral information and Haralick textures from UAV hyperspectral images

Jiejie Fan, Yang Liu, Yiguang Fan, Yihan Yao et autres

The Leaf Area Index (LAI) is a crucial parameter for evaluating crop growth and informing fertilization management in agricultural fields. Compared to traditional methods, UAV-based hyperspectral imaging technology offers significant advantages for non-destructive, rapid monitoring of crop LAI by simultaneously capturing both …

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Crop canopy volume weighted by color parameters from UAV-based RGB imagery to estimate above-ground biomass of potatoes

Yang Liu, Fuqin Yang, Jibo Yue, Wanxue Zhu et autres

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