Publications by authors named "Xiaoshi Shi"

Genome-wide association study (GWAS) has identified numerous significant loci for boll number (BN) and boll weight (BW), which play an essential role in cotton ( spp.) yield. The North Carolina design II (NC II) genetic mating population exhibits a greater number of genetic variations than other populations, which may facilitate the identification of additional genes.

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Article Synopsis
  • The study focuses on improving the detection of large non-green-ripe citrus fruits, addressing issues of precision and generalization for various ripeness levels and varieties.
  • A new model called YOLOC-tiny, based on YOLOv7 and using EfficientNet-B0 for feature extraction, incorporates advanced techniques like the convolutional block attention module (CBAM) and a unique regression loss function to enhance accuracy and reduce data noise.
  • YOLOC-tiny achieves a mean average precision (mAP) of 83.0%, outperforming similar models, and shows great promise for deployment in fruit-picking robots with a high accuracy rate and fast processing speed.
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Introduction: Insect pests from the family Papilionidae (IPPs) are a seasonal threat to citrus orchards, causing damage to young leaves, affecting canopy formation and fruiting. Existing pest detection models used by orchard plant protection equipment lack a balance between inference speed and accuracy.

Methods: To address this issue, we propose an adaptive spatial feature fusion and lightweight detection model for IPPs, called ASFL-YOLOX.

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  • * The study utilized hyperspectral imaging (HSI) combined with machine learning techniques to classify and detect three types of microplastic polymers: polyethylene, polypropylene, and polyvinyl chloride, as well as their mixtures.
  • * Among the models tested, the SPA-1D-CNN exhibited the highest classification performance with an accuracy of 0.9500, demonstrating the effectiveness of HSI technology for monitoring MPs in agricultural soils.
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Although grain size is an important quantitative trait affecting rice yield and quality, there are few studies on gene-by-environment interactions (GEIs) in genome-wide association studies, especially, in main crop (MC) and ratoon rice (RR). To address these issues, the phenotypes for grain width (GW), grain length (GL), and thousand grain weight (TGW) of 159 accessions of MC and RR in two environments were used to associate with 2,017,495 SNPs for detecting quantitative trait nucleotides (QTNs) and QTN-by-environment interactions (QEIs) using 3VmrMLM. As a result, 64, 71, 67, 72, 63, and 56 QTNs, and 0, 1, 2, 2, 2, and 1 QEIs were found to be significantly associated with GW in MC (GW-MC), GL-MC, TGW-MC, GW-RR, GL-RR, and TGW-RR, respectively.

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The soluble solid content (SSC) is one of the important parameters depicting the quality, maturity and taste of fruits. This study explored hyperspectral imaging (HSI) and fluorescence spectral imaging (FSI) techniques, as well as suitable chemometric techniques to predict the SSC in kiwifruit. 90 kiwifruit samples were divided into 70 calibration sets and 20 prediction sets.

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Chinese liquor (Baijiu) is one of the four major distilled spirits in the world. At present, liquor products containing impurities still exist on the market, which not only damage corporate image but also endanger consumer health. Due to the production process and packaging technologies, impurities usually appear in products of Baijiu before entering the market, such as glass debris, mosquitoes, aluminium scraps, hair, and fibres.

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