Xi Qiao

ORCID: 0000-0002-4427-4260
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About
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Research Areas
  • Smart Agriculture and AI
  • Histone Deacetylase Inhibitors Research
  • Cancer-related Molecular Pathways
  • Epigenetics and DNA Methylation
  • Pancreatic and Hepatic Oncology Research
  • Cancer Mechanisms and Therapy
  • Protein Degradation and Inhibitors
  • Spectroscopy and Chemometric Analyses
  • Water Quality Monitoring Technologies
  • Remote Sensing in Agriculture
  • Plant and Fungal Interactions Research
  • Environmental and Agricultural Sciences
  • Turfgrass Adaptation and Management
  • Peptidase Inhibition and Analysis
  • Parasite Biology and Host Interactions
  • Date Palm Research Studies
  • Insect Resistance and Genetics
  • Industrial Vision Systems and Defect Detection
  • Mollusks and Parasites Studies
  • Insect and Arachnid Ecology and Behavior
  • Vehicle License Plate Recognition
  • Biological Control of Invasive Species
  • Computational Drug Discovery Methods
  • Glioma Diagnosis and Treatment
  • Remote Sensing and Land Use

Agricultural Genomics Institute at Shenzhen
2018-2025

Chinese Academy of Agricultural Sciences
2018-2025

Ministry of Agriculture and Rural Affairs
2020-2025

Suzhou University of Science and Technology
2024-2025

Beijing Foreign Studies University
2025

School of International Relations
2025

Northwest Institute of Mechanical and Electrical Engineering
2024-2025

Northwest A&F University
2024-2025

Guangxi University
2013-2024

Second Affiliated Hospital of Chongqing Medical University
2023

Computer vision is a field that involves making machine "see". This technology uses camera and computer instead of the human eye to identify, track measure targets for further image processing. With development vision, such has been widely used in agricultural automation plays key role its development. review systematically summarizes analyzes technologies challenges over past three years explores future opportunities prospects form latest reference researchers. Through analyses, it found...

10.1016/j.inpa.2019.09.006 article EN cc-by-nc-nd Information Processing in Agriculture 2019-09-27

The fall armyworm (FAW), Spodoptera frugiperda (J. E. Smith), is native to the Americas. It has rapidly invaded 47 African countries and 18 Asian since first detection of invasion into Nigeria Ghana in 2016. regarded as a super pest based on its host range (at least 353 plants), inherent ability survive wide habitats, strong migration ability, high fecundity, rapid development resistance insecticides/viruses gluttonous characteristics. inherently superior biological characteristics FAW...

10.1016/s2095-3119(20)63367-6 article EN cc-by-nc-nd Journal of Integrative Agriculture 2021-02-16

The correlations between Caco-2 permeability (logPapp) and molecular properties have been investigated. A training set of 77 structurally diverse organic molecules was used to construct significant QSAR models for cell permeation. Cellular permeation found depend primarily upon experimental distribution coefficient (logD) at pH = 7.4, high charged polar surface area (HCPSA), radius gyration (rgyr). Among these three descriptors, logD may the largest impact on diffusion through because shows...

10.1021/ci049884m article EN Journal of Chemical Information and Computer Sciences 2004-07-01

Mikania micrantha is one of the top 100 worst invasive species that can cause serious damage to natural ecosystems and substantial economic losses. Here, we present its 1.79 Gb chromosome-scale reference genome. Half genome composed long terminal repeat retrotransposons, 80% which have been derived from a significant expansion in past million years. We identify whole duplication event recent segmental duplications, may be responsible for rapid environmental adaptation. Additionally, show M....

10.1038/s41467-019-13926-4 article EN cc-by Nature Communications 2020-01-17

The golden apple snail (Pomacea canaliculata) is a freshwater listed among the top 100 worst invasive species worldwide and noted agricultural quarantine pest that causes great economic losses. It characterized by fast growth, strong stress tolerance, high reproduction rate, adaptation to broad range of environments.Here, we used long-read sequencing produce 440-Mb high-quality, chromosome-level assembly P. canaliculata genome. In total, 50 Mb (11.4%) repeat sequences 21,533 gene models were...

10.1093/gigascience/giy101 article EN cc-by GigaScience 2018-08-09

Rapeseed meal (RSM), a protein-rich byproduct, holds potential as high-quality animal feed, but nitrile compounds derived from glucosinolates (GSLs) in RSM pose toxicity risk. Nitrilases, enzymes that hydrolyze toxic nitriles to carboxylic acids, offer solution for detoxification. However, the low thermal stability of nitrilases restricts their industrial applicability. We herein identified eight ancestral through sequence-based mining using 6803NIT probe enzyme. Among these, enzyme A1...

10.1021/acs.jafc.4c09532 article EN Journal of Agricultural and Food Chemistry 2025-01-01

Weeds are mainly spread by weed seeds being mixed with agricultural and forestry crop seeds, grain, animal hair, other plant products, disturb the growing environment of target plants such as crops wild native plants. The accurate efficient classification is important for effective management control weeds. However, remains dependent on destructive sampling-based manual inspection, which has a high cost rather low flux. We considered that this problem could be solved using nondestructive...

10.1016/j.inpa.2021.10.002 article EN cc-by-nc-nd Information Processing in Agriculture 2021-10-07

Based on the fact that great labor of artificial selection was needed after sugarcane seeds were cut by cutting machine, and there a misjudgment borer diseases. SVM (support vector machine) method proposed in this study to detect With machine vision technology, together with threshold segmentation, filling corrosion operation process three images same whose interval is 120°. The classification features, minimum average gray value corresponding selected adaptive segmentation algorithm,...

10.1016/j.inpa.2017.11.001 article EN cc-by-nc-nd Information Processing in Agriculture 2017-11-13

Sea cucumbers usually live in an environment where lighting and visibility are generally not controllable, which cause the underwater image of sea to be distorted, blurred, severely attenuated. Therefore, valuable information from such cannot fully extracted for further processing. To solve problems mentioned above improve quality images cucumbers, pre-processing a cucumber is attracting increasing interest. This paper presents new method based on contrast limited adaptive histogram...

10.1016/j.inpa.2017.06.001 article EN cc-by-nc-nd Information Processing in Agriculture 2017-06-10

Abstract Whole‐genome duplication (WGD), contributing to evolutionary diversity and environmental adaptability, has been observed across a wide variety of eukaryotic groups, but not in molluscs. Molluscs are the second largest animal phylum terms species numbers, among organisms that have successfully adapted nonmarine realm through aquatic–terrestrial (A‐T) transition. We assembled chromosome‐level reference genome for Achatina immaculata , globally invasive species, compared genomes two...

10.1111/1755-0998.13261 article EN Molecular Ecology Resources 2020-10-01

Chlorophyll a (chl-a) concentration is an important parameter for evaluating the degree of water eutrophication. Monitoring it accurately through remote sensing thus great significance early warnings eutrophication, and inversion quality from UAV images has attracted more attention. In this study, regression method to estimate chl-a was proposed; used small multispectral collect data took vegetation indices as intermediate variables. For purpose, ten monitoring points were selected in Erhai...

10.3390/drones7010002 article EN cc-by Drones 2022-12-21

The use of yellow sticky traps is a green pest control method that utilizes the pests’ attraction to color yellow. not only controls populations but also enables monitoring, offering more economical and environmentally friendly alternative pesticides. However, small size dense distribution pests on lead lower detection accuracy when using lightweight models. On other hand, large models suffer from longer training times deployment difficulties, posing challenges for in field edge computing...

10.3390/agronomy15030575 article EN cc-by Agronomy 2025-02-26

Abstract Background Autoimmune diseases (ADs) represent a diverse group of chronic conditions that significantly contribute to global disease burden and mortality. Physical activities (PAs) are recognized as key modifiable lifestyle factors for ADs, with numerous epidemiological studies confirming their strong association. Despite this established link, the shared genetic determinants underlying these associations remain largely unexplored. Methods Using large-scale comprehensive GWAS...

10.1101/2025.03.03.25323217 preprint EN medRxiv (Cold Spring Harbor Laboratory) 2025-03-04

In 2010, the German government officially initiated Energiewende as concept underpinning its energy transition, a plan to shift from nuclear and fossil fuels renewables towards Green Germany. At intersection of corporate activities public policy, this dissertation aims analyse roles corporations in facilitating lens stakeholder theory. It begins with unpacking engagement policy. Then case Siemens, it delves deeper into non-market strategies promoting use, lobbying activities, decarbonisation...

10.54254/2977-5701/2025.21636 article EN cc-by Deleted Journal 2025-03-18

Precision agriculture was proposed in the 1990s [...]

10.3390/agronomy15040783 article EN cc-by Agronomy 2025-03-23

The rapid and accurate identification of sugarcane stem nodes in the complex natural environment is essential for development intelligent harvesters. However, traditional node recognition has been mainly based on image processing technology, where accuracy low a environment. In this paper, an object detection algorithm deep learning was proposed environment, robustness generalisation ability were improved by dataset expansion method to simulate different illumination conditions. impact data...

10.3390/app11188663 article EN cc-by Applied Sciences 2021-09-17

Mile-a-minute weed ( Mikania micrantha Kunth) is considered as one of top 100 most dangerous invasive species in the world. A fast and accurate detection technology will be needed to identify M. . It help mitigate extensive ecologic economic damage on our ecosystems caused by this alien plant. Hyperspectral fulfills above requirement. However, when working with hyperspectral images, preprocessing, dimension reduction, classifier are fundamental achieving reliable recognition accuracy...

10.3389/fpls.2021.626516 article EN cc-by Frontiers in Plant Science 2021-04-30
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