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Xi Tian

Researcher at Nanchang University

Publications -  81
Citations -  1894

Xi Tian is an academic researcher from Nanchang University. The author has contributed to research in topics: Hyperspectral imaging & Computer science. The author has an hindex of 18, co-authored 59 publications receiving 960 citations. Previous affiliations of Xi Tian include University of Michigan & China Agricultural University.

Papers
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On line detection of defective apples using computer vision system combined with deep learning methods

TL;DR: The overall results indicated that the proposed CNN-based classification model had great potential to be implemented in commercial packing line.
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Environmental impact and economic assessment of secondary lead production: Comparison of main spent lead-acid battery recycling processes in China

TL;DR: Wang et al. as discussed by the authors compared the environmental impacts of five typical LAB recycling processes in six categories using the Chinese Life Cycle Database (CLCD) and analyzed their economic efficiencies using technology cost modeling (TCM).
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Fast detection and visualization of early decay in citrus using Vis-NIR hyperspectral imaging

TL;DR: The potential application of hyperspectral imaging, which combines conventional imaging and spectroscopy to simultaneously acquire both spatial and spectral information from an object, was evaluated for automatic detection of the early symptoms of decay caused by Penicillium digitatum fungus in citrus fruit.
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Long-term evaluation of soluble solids content of apples with biological variability by using near-infrared spectroscopy and calibration transfer method

TL;DR: In this paper, the long-term performance of a near-infrared (NIR) calibration model for soluble solids content (SSC) prediction has been investigated using apples with biological variability collected from 2012 to 2018.
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Multispectral detection of skin defects of bi-colored peaches based on vis–NIR hyperspectral imaging

TL;DR: In this paper, a multispectral detection method for skin defects of bi-colored "Pinggu" peaches based on visible-near infrared (vis-NIR) hyperspectral imaging was presented.