HelioWebBin Peng
flowchart
A[Bin Peng]
AC["Associated Concepts (25)"]
AW["Authored Works (34)"]
CA["Linked Co-Authors (32)"]
CI["Linked Collaborating Institutions (23)"]
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click AW "#authored-works"
click CA "#co-authors"
click CI "#collaborating-institutions"
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- ORCiD
- https://orcid.org/0000-0002-7284-3010
- OpenAlex ID
- https://openalex.org/A5073721257 (API record)
Associated Concepts [?]
- Biology
- Geography
- Environmental science
- Physics
- Geology
- Ecology
- Engineering
- Chemistry
- Agronomy
- History
- Archaeology
- Computer science
- Meteorology
- Materials science
- Mathematics
- Quantum mechanics
- Botany
- Organic chemistry
- Remote sensing
- Composite material
- Thermodynamics
- Astronomy
- Agriculture
- Horticulture
- Aerospace engineering
Authored Works
sorted by decreasing year, and then by display-name
- The potential for Agrivoltaics to sustainably intensify food and energy production
- The adaptation of a hierarchical CH4 model for rice fields in Arkansas
- Quantifying field-level cover cropping in the U.S. Midwest using multi-source satellite data
- Quantifying Crop Productivity and Environmental Sustainability for the US Spring Wheat System
- Knowledge-guided machine learning for the next generation of agroecosystem prediction
- Knowledge-guided Machine Learning Enables Sustainable Fertilizing Management Practices to Reduce N2O Emission across Multiple Spatial and Temporal Scales
- Knowledge-based artificial intelligence for agroecosystem carbon budget and crop yield estimations over the U.S. Midwest
- Improving the regional nitrogen rate recommendation tool for corn to achieve co-sustainability of crop productivity and ecosystem service
- Improved Quantification of Cover Crop Biomass and Its Ecosystem Services in the U.S. Midwest through Remote Sensing-based Model-data Fusion
- How does uncertainty of soil organic carbon stock affect carbon budgets and soil carbon credit calculation in the U.S. Midwestern agroecosystems?
- Field-level life cycle assessment (LCA) and uncertainty analysis for feedstock carbon intensity (CI) of corn ethanol and soybean biodiesel in the central U.S. Midwest
- Detecting tillage practices in the U.S. Midwest using multi-source satellite data
- Cross-scale sensing of field-level crop residue cover and cover crops: integrating field observations, airborne hyperspectral imaging, and satellite data
- Controls of within field soil moisture variability in three agricultural fields in the US Midwest
- Climatology of Large, Episodic Ammonia Blooms in the U.S. Midwest in Spring and Links to Fertilization Application
- Assessing the impacts of tile drainage on hydrological cycle and crop growth in the U.S. Midwest agroecosystems
- Assessing the impacts of different nitrogen application strategies on corn productivity and environmental sustainability in Illinois
- Assessing long-term impacts of cover crops on soil organic carbon in the central U.S. Midwestern agroecosystems
- Assessing carbon budget in cotton agroecosystems across the United States
- An upscaling approach to estimate field-scale irrigation water use
- Agricultural Nitrate Export Patterns Shaped by Crop Rotation and Tile Drainage
- Accurate, Efficient, and Scalable Quantification of Field-level Terrestrial Carbon Budget in the United States using Knowledge-Guided Machine Learning
- A unified framework to reconcile different theories of modeling transpiration response to drought: plant hydraulics, supply-demand balance, and empirical soil moisture stress
- A framework for scalably quantifying field-level agricultural carbon outcomes
- A Multi-scale Soil Moisture and Temperature Observation Network over Cropland in Central Illinois, U.S.
- Unexpected high non-growing season N2O emissions from many croplands in the U.S. Midwest
- Simulating N2O Emission from Fertilized Mesocosm Using Knowledge Guided Machine Learning
- Interaction of hydrological and anthropogenic processes controls the relationship between streamflow discharge and nitrogen concentration in the U.S. Midwestern watersheds
- Integrating process-based model and artificial intelligence for calculating cropland carbon budget in the U.S. Midwest
- High spatial-temporal resolution estimation of irrigation timing and amount based on the data-model fusion
- Estimating the Autotrophic and Heterotrophic Respiration in the US Crop Fields using Knowledge Guided Machine Learning
- Assessing the impacts of different nitrogen application strategies on crop productivity and environmental sustainability in the U.S. Midwest
- Assessing long-term impacts of cover crops on soil carbon in the U.S. Midwest agroecosystems
- Airborne hyperspectral imaging of cover crop outcomes and tillage intensity in croplands by machine learning and radiative transfer modeling
Linked Co-Authors
- Alan K. Knapp
- Alson Time
- Benjamin R. K. Runkle
- Brandon P. Sloan
- C. Reavis
- Cathy Clerbaux
- Dan Li
- Daniel P. Moore
- Elena Blanc‐Betes
- Emily R. Stuchiner
- Evan H. DeLucia
- Greg A. Barron‐Gafford
- Jingwen Zhang
- Jinyun Tang
- Kaiyu Guan
- Licheng Liu
- M. A. Zondlo
- Ming Pan
- Qing Zhu
- Qu Zhou
- R. F. Grant
- Rui Wang
- Symon Mezbahuddin
- Timothy J. Griffis
- Tongxi Hu
- Umakant Mishra
- Wendy H. Yang
- Xiangtao Xu
- Xue Feng
- Xuehui Guo
- Yi Yang
- Ziqi Qin
Linked Collaborating Institutions
- Auburn University, Alabama
- Belgian Institute for Space Aeronomy
- Boston University, Massachusetts
- California State University, Hayward
- Colorado State University
- Cornell University, New York
- Lawrence Berkeley National Laboratory, California
- National Renewable Energy Laboratory, Colorado
- Pennsylvania State University
- Princeton University, New Jersey
- Purdue University, Indiana
- Sandia National Laboratories, New Mexico
- U.S. Department of Agriculture
- University of Alberta, Canada
- University of Arizona
- University of Arkansas, Fayetteville
- University of California, Riverside
- University of Illinois, Urbana-Champaign
- University of Minnesota, Twin Cities
- University of Nebraska, Lincoln
- University of Pittsburgh, Pennsylvania
- University of Wisconsin, Madison
- Vrije Universiteit, Brussels, Belgium
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