Chunyan Wu

ORCID: 0009-0009-4032-0846
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Research Areas
  • Gut microbiota and health
  • Plant-Microbe Interactions and Immunity
  • Rice Cultivation and Yield Improvement
  • Soil Carbon and Nitrogen Dynamics
  • Microbial Community Ecology and Physiology
  • AI-based Problem Solving and Planning
  • Irrigation Practices and Water Management
  • Image Processing and 3D Reconstruction
  • Educational Technology and Assessment
  • Mycorrhizal Fungi and Plant Interactions
  • Water Quality Monitoring and Analysis
  • Science, Research, and Medicine
  • Natural Language Processing Techniques
  • Topic Modeling
  • Distributed and Parallel Computing Systems
  • Agriculture, Soil, Plant Science
  • Text Readability and Simplification
  • Advanced Chemical Sensor Technologies
  • Nematode management and characterization studies
  • Soil and Water Nutrient Dynamics
  • Pharmaceutical and Antibiotic Environmental Impacts
  • Chemistry and Chemical Engineering
  • Spectroscopy and Chemometric Analyses

ZheJiang Academy of Agricultural Sciences
2013-2024

Jinling Institute of Technology
2024

Hefei University of Technology
2024

Southwest University of Science and Technology
2023

Nanjing Medical University
2023

Beijing Forestry University
2020

Institute of Forest Resource Information Techniques
2020

Chinese Academy of Forestry
2020

Research Institute of Forestry
2020

State Forestry and Grassland Administration
2020

The root microbiota plays a crucial role in assisting the plant host combating various biotic and abiotic stresses, notably drought, which poses significant threat to global food security. Despite extensive efforts understand shifts rhizosphere endosphere bacteriomes, there remains gap comprehending how drought stress influences co-occurring network patterns within these compartments their ecological functional potentials. To address this gap, pot experiment was conducted with two...

10.3390/agronomy14081662 article EN cc-by Agronomy 2024-07-29

Though the evidence for antibiotic resistance spread via plant microbiome is mounting, studies regarding resistome in seed, a reproductive organ and important food resource, are still their infancy. This study investigated effects of long-term organic fertilization on seed bacterial endophytes, resistome, intergenerational transfer microcosm. A total 99 genes (ARGs) 26 mobile genetic elements (MGEs) were detected by high-throughput quantitative PCR. The amount fertilizer applied was...

10.1021/acs.est.3c05678 article EN Environmental Science & Technology 2023-12-11

Excessive nitrogen (N) fertilization in intensive agricultural areas such as the plain region of South China has resulted low use efficiency and serious environmental problems. To determine optimum N application rate, grain yield, apparent recovery (ANRE), loss, ammonium (NH3) volatilization under different rates three years from 2012 to 2014 were studied. The results showed that relationship between yields rate well fitted by quadratic equations. When reached 197 kg ha−1 2012, 199 2013 196...

10.1016/s2095-3119(15)61168-6 article EN cc-by-nc-nd Journal of Integrative Agriculture 2015-12-01

Compared with conventional chemical analysis methods, spectral has been widely used for evaluating fruit soluble solids content (SSC) because of its obvious advantages being fast and non-destructive. However, it is inevitable that the precision often unsatisfactory due to insufficient information obtained from an individual technique. In this work, a one-dimensional convolutional neural network enhanced global context block (1D GC-CNN) based on multi-sensor fusion proposed capture broader...

10.2139/ssrn.4826573 preprint EN 2024-01-01

Automated essay scoring systems are widely used in education, and off-topic detection is an integral part of this. Traditionally based on text features represented as spatial vectors, however, this approach only addresses the structure statements requires use manual features. This paper proposed to Sentence-BERT model detect essays, method first obtains a large amount high-quality data build corpus two Siamese twin pre-trained models embed sentences topic, body essay, generate semantically...

10.1145/3603781.3603871 article EN 2023-05-26

C Language Programming is an important professional basic course for computer majors in colleges and universities, introductory learning programming technology, which helpful improving students' computational thinking. This paper introduces the classical problem Hannover Tower, through solution of Hanoi problem, excavates mathematical rules its connotation, derives a series formulas to help students understand idea non-recursive algorithms. Through model described article find out movement...

10.1117/12.3018103 article EN 2024-01-15

Declining soil quality and climate change may affect species diversity forest biomass productivity in many temperate regions the future.Our research objective is to reveal characteristics of nutrients forests Northeast China with change.The purpose this study was determine physical chemical properties mature broad-leaved cold zone Mt.Changbai, Jilin Province, by measuring pH, NH 4 + , organic matter (%), C/N, available phosphorus, alkali-hydrolysable N, rapidly K, Cr etc., analysing...

10.46488/nept.2020.v19i02.005 article EN cc-by Nature Environment and Pollution Technology 2020-06-01

吴春艳 1 杨生茂 刘玉学 吕豪豪 马义兵 2 李菊梅 浙江省农业科学院环境资源与土壤肥料研究所, 浙江杭州 310021; 中国农业科学院农业资源与农业区划研究所, 北京 100081 摘 要: 基于 19 年田间定位试验, 通过测定氮、磷、钾肥不同配施处理下, 大麦地上部生物量、产量及籽粒和秸秆 中各养分含量, 研究了大麦生长期土壤和环境养分供应状况、肥料效率和土壤养分表观平衡。结果表明, 不施肥条件 下, 平均每年大麦可从土壤和环境中吸收氮、磷和钾素 44.5、10.7 和 52.5 kg hm 2 ; 大麦籽粒中氮、磷、钾含量平均 为 17.3、3.48和 4.18 g 1 , 秸秆中为 4.85、0.64和 17.50 。所吸收的氮素和磷素分别有 75.7%和 83.5%被转运 至籽粒中, 但钾的转运率仅为 18.8%。大麦生产单位籽粒所需的氮素和钾素相当, 约为吸磷量的 5~6 倍。每生产 1000 籽粒, 需要吸收氮素 22.3 kg、磷素 4.0 和钾素 20.5 kg。19 年平均氮、磷和钾肥的表观利用率分别为 29.0%、 12.8%和 71.8%,...

10.3724/sp.j.1006.2013.00665 article ZH-CN ACTA AGRONOMICA SINICA 2013-01-01
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