Search Results - "Zhao, Maocheng"

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  1. 1

    A Lightweight Crop Pest Detection Algorithm Based on Improved Yolov5s by Zhang, Jing, Wang, Jun, Zhao, Maocheng

    Published in Agronomy (Basel) (01-07-2023)
    “…The real-time target detection of crop pests can help detect and control pests in time. In this study, we built a lightweight agricultural pest identification…”
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    Journal Article
  2. 2

    A 1-DOF Modular Robotic Hand Inspired by Human Two-Arm Cooperative Handling Strategy by Liu, Yuhang, Zhao, Maocheng, Hua, Hongliang

    Published in Actuators (01-04-2023)
    “…In the present article, a 1-DOF modular robotic hand inspired by a human two-arm cooperative handling strategy was presented to achieve flexible applications…”
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    Journal Article
  3. 3

    RMSRGAN: A Real Multispectral Imagery Super-Resolution Reconstruction for Enhancing Ginkgo Biloba Yield Prediction by Kaixuan Fan, Min Hu, Maocheng Zhao, Liang Qi, Weijun Xie, Hongyan Zou, Bin Wu, Shuaishuai Zhao, Xiwei Wang

    Published in Forests (01-05-2024)
    “…Multispectral remote sensing data with abundant spectral information can be used to compute vegetation indices to improve the accuracy of Ginkgo biloba yield…”
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    Journal Article
  4. 4

    Visualizing quantitatively the freshness of intact fresh pork using acousto-optical tunable filter-based visible/near-infrared spectral imagery by Wang, Xiwei, Zhao, Maocheng, Ju, Ronghua, Song, Qinghua, Hua, Dongqing, Wang, Cheng, Chen, Tingting

    Published in Computers and electronics in agriculture (01-11-2013)
    “…•Mapping of the 2D spatial distribution of the freshness indicating chemicals.•Auto-segmentation of the eligible muscle region of interest based on reflectance…”
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    Journal Article
  5. 5

    Recent advances in Transformer technology for agriculture: A comprehensive survey by Xie, Weijun, Zhao, Maocheng, Liu, Ying, Yang, Deyong, Huang, Kai, Fan, Chenlong, Wang, Zhandong

    “…Intelligent agriculture is critical for guiding agricultural production and enhancing efficiency through early disease diagnosis, yield estimation, automatic…”
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  6. 6

    Detection of Ginkgo biloba seed defects based on feature adaptive learning and nuclear magnetic resonance technology by Zhao, Shuaishuai, Zhao, Maocheng, Qi, Liang, Li, Dawei, Wang, Xiwei, Li, Zhong, Hu, Min, Fan, Kaixuan

    “…In order to solve the problem that artificial selection of high-quality seeds is limited to the external characteristics of seeds and inefficient, this paper…”
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  7. 7

    Prediction and evaluation method of TVB-N values distribution in pork by hyperspectral imaging by Tang, Yuweiyi, Wang, Xiwei, Xing, Xiaoyang, Li, Zhong, Zhao, Maocheng

    “…Hyperspectral imaging makes it possible to map the spatial distribution of quality-indicating attributes over biological targets. However, inconsistencies may…”
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  8. 8

    Non-destructive inspection method for egg freshness evaluation via low-field nuclear magnetic resonance technology by Hu, Min, Zhao, Maocheng, Qi, Liang, Li, Dawei, Wang, Xiwei, Li, Zhong, Zhao, Shuaishuai, Fan, Kaixuan

    “…Eggs are highly valued for their exceptional nutritional benefits. However, prolonged storage can diminish their freshness. Traditional egg freshness…”
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  9. 9

    Quantitative Analysis of Slow-extraction Spill Spectrum and Its Application by YE Wenbo;YAO Hongjuan;YANG Ye;LIU Xiaoyu;LI Yan;ZHENG Shuxin;WANG Xuewu;GUAN Xialing;WANG Minwen;LIU Wolong;WANG Di;WANG Maocheng;ZHAO Mingtong;YAN Yihua;WANG Zhongming

    Published in Yuanzineng kexue jishu (01-09-2022)
    “…Slow extraction from synchrotrons is widely used for delivering hadron beams to many physical experiments as well as hadron cancer therapy based on charged…”
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    Journal Article
  10. 10

    Classification and Quantitative Determination of Sodium Benzoate in Muddy Flesh by Near-Infrared Reflectance Spectroscopy by Wang, Yuanhao, Ni, Chao, Zhao, Maocheng, Liu, Ying

    “…Near‐infrared reflectance spectroscopy (NIRS), combined with preconcentration technique, was used to determine and quantitate the presence of sodium benzoate…”
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  11. 11