A5052273445- Soil and Unsaturated Flow
- Plant Water Relations and Carbon Dynamics
- Plant responses to elevated CO2
- Soil Moisture and Remote Sensing
- Climate change impacts on agriculture
- Geophysical Methods and Applications
- Greenhouse Technology and Climate Control
- Irrigation Practices and Water Management
- Climate variability and models
- Rice Cultivation and Yield Improvement
- Hydrology and Watershed Management Studies
- Smart Agriculture and AI
- Crop Yield and Soil Fertility
- Advanced Fiber Optic Sensors
- Soil Carbon and Nitrogen Dynamics
- Advanced Mathematical Modeling in Engineering
- Seismic Waves and Analysis
- Soil Management and Crop Yield
- Earth Systems and Cosmic Evolution
- Service-Oriented Architecture and Web Services
- Botanical Research and Applications
- Advanced Numerical Methods in Computational Mathematics
- Polysaccharides and Plant Cell Walls
- Wireless Communication Networks Research
- Soybean genetics and cultivation
University of Maryland, College Park
2018-2024
Cropping Systems Research Laboratory
2019-2024
United States Department of Agriculture
2022-2023
Agricultural Research Service
2021-2023
Government of the United States of America
2023
Iowa State University
2013-2017
Groundwater contamination with chlorinated hydrocarbons has become a widespread problem that threatens water quality and human health. Permeable reactive barriers (PRBs), which employ zerovalent iron, are effective for remediation; however, need exists to reduce the economic environmental costs associated constructing PRBs. We present method produce iron supported on macroporous carbon using only lignin magnetite. Biochar-ZVI (BC-ZVI) produced by this exhibits broad pore size distribution...
Abstract GOSSYM, a mechanistic, process-level cotton crop simulation model, has two-dimensional (2D) gridded soil model called Rhizos that simulates the below-ground processes daily. Water movement is based on gradients of water content and not hydraulic heads. In photosynthesis calculated using daily empirical light response function requires calibration for to elevated carbon dioxide (CO 2 ). This report discusses improvements made GOSSYM soil, photosynthesis, transpiration processes....
Carbon dioxide release from agricultural soils is influenced by multiple factors, including soil (soil properties, soil-microbial respiration, water content, temperature, diffusivity), plant (carbon assimilation, rhizosphere respiration), atmosphere (climate, atmospheric carbon dioxide), etc. Accurate estimation of the (CO2) fluxes in and respiration (CO2 flux between atmosphere) requires a process-based modeling approach that accounts for influence all these factors. In this study, module...
Core Ideas Canopy chambers were used to measure CO 2 exchange rates (CER) in corn and soybean plots. Daytime cumulative CER fluxes calculated from measured instantaneous fluxes. Chamber consistent with eddy covariance flux tower Crop canopy rate includes crop photosynthesis soil/plant respiration. A portable chamber is effective determining values at a relatively small spatial (m ) scale. The objectives of this study use ( Zea mays L.) [ Glycine max (L.) Merr.]. measurements performed for 18...
We present a generic model framework for coupled heat and water transfer (CHWT) in deformable (non-rigid) soils with spatial variations of soil properties. The backbone is mixed finite element method (FEM), which solves the Philip de Vries (1957) CHWT achieves conservation mass energy on both local global scales. Spatial occur hydraulic thermal properties due to transient content temperature distributions. Based FEM scheme, gradient measure clustering ("k-means") are proposed trace regions...
Abstract Water and thermal dynamics at soil surfaces are influenced by multiple ambient factors, for example, weather, soil, residue mulch, surface runoff. A water temperature model should address those their interactions derivatives. In this study, we developed a process‐based simulation heat transfer with two main mulch Surface content simulated modified Philip de Vries (1957) model, including precipitation interception radiation attenuation in mulch. runoff is modeled the Saint‐Venant...
‘Lingwu Changzao’ (Ziziphus jujuba Mill. cv. Lingwuchangzao), a cultivar of Ziziphus in the Rhamnaceae family, is traditional jujube Ningxia, China. For Changzao’, morphological traits are prominent characterizing fruit yield, quality, and consumer acceptance. However, measurements for cultivation limited. Therefore, objective this study to measure growing patterns selected during development. Eight traits, including four (fruit length, diameter, weight, flesh (mesocarp) thickness), three...
Tangent-line methods and adaptive waveform interpretation with Gaussian filtering (AWIGF) have been proposed for determining reflection positions of time domain reflectometry (TDR) waveforms. However, the accuracy those is limited short-probe TDR sensors. Second-order bounded mean oscillation (BMO) may be an alternative method to determine For this study, algorithm second-order BMO developed. Example waveforms are analyzed tangent-line methods, AWIGF method, illustrate difference among three...
Core Ideas • A new method for analyzing TDR waveforms is presented. The provides consistent results on obtained from short probes. stable enough automatic implementation large sets of waveforms. Tangent line (TL) methods and the second‐order bounded mean oscillation (BMO) have been proposed determining reflection positions time domain reflectometry (TDR) waveforms, especially short‐probe sensors. However, accuracy TL limited by multi‐reflection effects sensor, an BMO challenging because...
Abstract Interpreting time domain reflectometry (TDR) waveforms obtained in soils with non‐uniform water content is an open question. We design a new TDR waveform interpretation model based on convolutional neural networks (CNNs) that can reveal the spatial variations of soil relative permittivity and along sensor. The proposed model, namely TDR‐CNN, constructed three modules. First, geometrical features are extracted simplified version VGG16 network. Second, reflection positions traced...
The United States is one of the top rice exporters in world, but warming temperatures and other climate trends may affect grain yield quality. use crop models as decision support tools for a impact assessment would be beneficial, suitability representative growing conditions need to verified. Therefore, ability CERES-Rice ORYZA predict season duration Mississippi Delta region was assessed two widely-grown varieties using 34-year database. simulated growth more accurately than result latter...
Spatial diversity assists parameter estimation in distributed networks. A sparsity‐aware link combination strategy is proposed, which considers both the spatial sparsity a network and inherent of system, where two types zero‐attracting adaptive combiners are proposed based on least‐mean‐square algorithm. The algorithms exploit l 1 ‐norm regularisation through neighbouring node weights such that can adaptively track variations topology. Simulation results illustrate advantages algorithm terms...
Crop models are valuable tools for examining the interactions of cultivar characteristics, environment, and management practices, how they affect crop growth development. The difficulty in finding all data needed to set up a simulation can often deter potential users from utilizing model. Model interfaces necessary make these complex accessible end-users who may lack expertise work with directly, but would benefit information generated by models. As vary terms input output structures, there...