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Featured researches published by Q. Cheng.


Computers and Electronics in Agriculture | 2017

In situ measurements and simulation of oxygen diffusion and heat transfer in maize silage relative to the silo surface

Y. Sun; Minzan Li; Haiyang Zhou; Guilin Shan; Q. Cheng; K.H. Jungbluth; Wolfgang Buescher; Christian Maack; A. Lipski; Zhendong Wang; Youheng Fan

In situ measurement oxygen (O2) and temperature (Tsi) for silage production.Simultaneously tracking O2 diffusion and Tsi dynamics with three packed densities.Evaluating accuracy/feasibility of Pitt-Muck model to advance silage management. Aerobic deterioration is a major concern for silage production and quality change in unloading phase. To simulate silage aerobic deterioration relative to an exposure surface of bunker silo, a partial differential equation system model including oxygen (O2) concentration, silage temperature (Tsi) rise and microbial activity was presented. There is still a need to assess the predictability of the developed model at different bulk densities (BDs). For this study, the Clark oxygen electrodes (COE) was employed for the in situ simultaneous measurements of O2 and Tsi within maize silage samples, which were packed into twelve barrels (i.d.: 35.7cm, length: 60cm, vol. 60L) at three BD levels (low: 520550kgm3; medium: 660730kgm3; high: 860950kgm3). To assure the COE to be insensitive to CO2, a cross calibration for O2 concentrations (020% vol.) was made at 15% vol. of CO2 in advance of performing the experiment. For each barrel, two of the COEs were installed at 10cm and 40cm behind the exposure surface, respectively. The model was computed taking the in situ measurements of O2 and Tsi to be targets. Our study showed general well-agreements between the model simulations and the in situ measurements of O2 and Tsi for all BD levels. Some uncertainties and relevant reasons were also addressed. Based on these results, we concluded that the model has sufficient ability to predict aerobic deterioration in silage for bunker silos being unloaded.


Agricultural and Forest Meteorology | 2013

In situ measuring soil ice content with a combined use of dielectric tube sensor and neutron moisture meter in a common access tube

Q. Cheng; Y. Sun; Y. Qin; Xuzhang Xue; Xiang Cai; Wenyi Sheng; Y. Zhao


Geoderma | 2012

Determining In-Situ Soil Freeze-Thaw Cycle Dynamics Using an Access Tube-Based Dielectric Sensor

Y. Sun; Q. Cheng; Xuzhang Xue; L. Fu; Jin Chai; Fanqiao Meng; P. Schulze Lammers; Scott B. Jones


Soil & Tillage Research | 2011

Map-based investigation of soil physical conditions and crop yield using diverse sensor techniques

Y. Sun; H. Druecker; Eberhard Hartung; H. Hueging; Q. Cheng; Q. Zeng; Wenyi Sheng; J. Lin; Olaf Roller; S. Paetzold; P. Schulze Lammers


Biosystems Engineering | 2010

An improved penetrometer technique for determining bale density.

Y. Sun; Wolfgang Buescher; J. Lin; P. Schulze Lammers; F. Ross; Christian Maack; Q. Cheng; W. Sun


Journal of Hydrology | 2014

In situ measured and simulated seasonal freeze–thaw cycle: A 2-year comparative study between layered and homogeneous field soil profiles

Q. Cheng; Y. Sun; Scott B. Jones; V.I. Vasilyev; V.V. Popov; G. Wang; L. Zheng


Soil Science Society of America Journal | 2012

A Novel Method to Determine the Volume of Sensitivity for Soil Moisture Sensors

Yurui Sun; Wenyi Sheng; Q. Cheng; Jin Chai; Yuliang Yun; Y. Zhao; Xuzhang Xue; Peter Schulze Lammers; Lutz Damerow; Xiang Cai


Soil & Tillage Research | 2012

Applying two-dimensional Fourier Transform to investigate soil surface porosity by laser-scanned data

Q. Cheng; Y. Sun; J. Lin; Lutz Damerow; P. Schulze Lammers; H. Hueging


Measurement | 2012

A study to identify and correct friction-induced error of penetration measurement for agricultural materials

Y. Sun; Fanqiao Meng; Wolfgang Buescher; P. Schulze Lammers; J. Lin; F. Ross; Christian Maack; Q. Cheng


Computers and Electronics in Agriculture | 2012

Image-based comparison between a γ-ray scanner and a dual-sensor penetrometer technique for visual assessment of bale density distribution

Y. Sun; Q. Cheng; Fanqiao Meng; Wolfgang Buescher; Christian Maack; F. Ross; J. Lin

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Y. Sun

China Agricultural University

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J. Lin

Beijing Forestry University

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Fanqiao Meng

China Agricultural University

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Haiyang Zhou

China Agricultural University

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Guilin Shan

China Agricultural University

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Wenyi Sheng

China Agricultural University

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