Lihua Huang

ORCID: 0000-0003-4013-310X
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About
Contact & Profiles
Research Areas
  • Soil Carbon and Nitrogen Dynamics
  • Rice Cultivation and Yield Improvement
  • Agriculture, Soil, Plant Science
  • Environmental and Agricultural Sciences
  • Educational Reforms and Innovations
  • Agricultural Science and Fertilization
  • Plant Molecular Biology Research
  • Higher Education and Teaching Methods
  • Plant Ecology and Soil Science
  • Financial Distress and Bankruptcy Prediction
  • Plant responses to water stress
  • Forest, Soil, and Plant Ecology in China
  • Advanced Computational Techniques and Applications
  • Imbalanced Data Classification Techniques
  • Biosensors and Analytical Detection
  • Plant tissue culture and regeneration
  • Pasture and Agricultural Systems
  • Advanced Decision-Making Techniques
  • Evaluation and Optimization Models
  • Plant Reproductive Biology
  • Clay minerals and soil interactions
  • Corporate Finance and Governance
  • Agronomic Practices and Intercropping Systems
  • Weed Control and Herbicide Applications
  • Rough Sets and Fuzzy Logic

Chinese Academy of Sciences
2012-2024

Northeast Institute of Geography and Agroecology
2012-2024

Shanghai Pulmonary Hospital
2024

Dalian Institute of Chemical Physics
2024

Farmland Irrigation Research Institute
2023

Guilin University of Electronic Technology
2023

Guangdong Academy of Sciences
2023

Sun Yat-sen University
2022-2023

Fifth Affiliated Hospital of Sun Yat-sen University
2022-2023

Yunnan University
2023

10.1016/s0377-2217(98)00141-6 article EN European Journal of Operational Research 1999-01-01

The objectives of this study were to evaluate the effects different fertilizer types and application rates on ammonia volatilization loss explore nitrogen distribution use efficiency using 15N isotope tracing technique in alkaline salt-affected conditions Songnen Plain, Northeast China. results showed a decreasing trend from ammonium nitrate sulfate, but not that urea, as electrical conductivity gradient increased, whereas reverse was found pH increased. Ammonia increased moderately soil...

10.3390/su9010132 article EN Sustainability 2017-01-18

Recently, support vector machines, a supervised learning algorithm, have been widely used in the scope of credit risk management. However, noise may increase complexity algorithm building and destroy performance classifier. In our work, we propose an ensemble machine model to solve assessment supply chain finance, combined with reducing noises method. The main characteristics this approach include that (1) novel filtering scheme avoids noisy examples based on fuzzy clustering principal...

10.1177/1550147720903631 article EN cc-by International Journal of Distributed Sensor Networks 2020-01-01

The widespread use of machine learning techniques and artificial intelligence algorithms has highlighted the strategic role data. To acquire data for training eventually empowering digital transformation, marketplaces are often required to support coordinate cross-organizational transactions. However, prior industry practices have suggested that transaction costs in severely high, supporting infrastructure is far from mature. This paper proposes a attributes-affected exchange (DADE)...

10.1016/j.fmre.2021.08.006 article EN cc-by-nc-nd Fundamental Research 2021-08-31

Although an abundance of research has emerged on technology adoption and acceptance, most examined the usage behavior different products in isolation. The current study instead focuses usage-transfer between that are not substitutable. Drawing upon self-perception theory entitativity theory, we proposed a model validated it using longitudinal data userspsila transfer from one instant messenger, QQ, to its portal, QQ.com. findings suggest can be transferred indirectly, while perceived...

10.1109/tem.2009.2023084 article EN IEEE Transactions on Engineering Management 2009-07-15

Abstract Soil parameters, measured before crop planting, are typically used to quantify the relationship between soil properties and yield identify factors limiting yield. However, during sensitive stages of growth may have a greater effect on than initial values. We determined if inclusion properties, reproductive stage, could improve accuracy prediction. Classification regression trees were determine explanatory power different rice variables for predicting in alkaline salt‐affected paddy...

10.1002/ldr.3026 article EN Land Degradation and Development 2018-06-06

Leymus chinensis (Trin.) Tzvel. (Poaceae) is a dominant plant in the western Songnen Plain of northeastern China. Soil salinization, N deficiency, and current management practices have resulted grassland degradation region. The objective this study was to investigate effect application on L. . A 3‐yr field experiment conducted two nearby fields at Daàn Sodic Land Experiment Station (DASLES) from 2009 2011. Both were classified as moderate saline–sodic (MSSL) severe (SSSL), respectively....

10.2134/agronj14.0250 article EN Agronomy Journal 2014-12-01

Background The hydrological cycle is an important way of transportation and reallocation reactive nitrogen (N) in forest ecosystems. However, under a high level atmospheric N deposition, the distribution cycling through water flows ecosystems especially bamboo are not well understood. Methodology/Principal Findings In order to investigate fluxes Pleioblastus amarus forest, event rainfall/snowfall (precipitation, PP), throughfall (TF), stemflow (SF), surface runoff (SR), floor leachate (FFL),...

10.1371/journal.pone.0075862 article EN cc-by PLoS ONE 2013-10-11
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