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Development of a Data-Assimilation System to Forecast Agricultural Systems: A Case Study of Constraining Soil Water and Soil Nitrogen Dynamics in the Apsim Model

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/csc2.20039openalex-snapshot
Predicting crop yields and soil‐plant nitrogen dynamics in the US Corn Belt
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The ERA5 global reanalysis
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Measuring nitrate leaching across the critical zone at the field to farm scale
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Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications
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Simulating deep drainage and nitrate leaching on a regional scale: implications for groundwater management in an intensively irrigated area
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Evaluation of hydroclimatic variables for maize yield estimation using crop model and remotely sensed data assimilation
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The Ensemble Kalman Filter: theoretical formulation and practical implementation
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Fertilizers and nitrate pollution of surface and ground water: an increasingly pervasive global problem
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Effect of simultaneous state–parameter estimation and forcing uncertainties on root-zone soil moisture for dynamic vegetation using EnKF
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Dual state-parameter estimation of root zone soil moisture by optimal parameter estimation and extended Kalman filter data assimilation
inferredcites →https://doi.org/10.1016/j.agee.2003.10.006openalex-snapshot
Simulation of nitrate leaching for different nitrogen fertilization rates in a region of Valencia (Spain) using a GIS–GLEAMS system
inferredcites →https://doi.org/10.1016/j.agee.2020.106861openalex-snapshot
Regional simulation of nitrate leaching potential from winter wheat-summer maize rotation croplands on the North China Plain using the NLEAP-GIS model
inferredcites →https://doi.org/10.1016/j.agrformet.2007.05.004openalex-snapshot
Crop model data assimilation with the Ensemble Kalman filter for improving regional crop yield forecasts
inferredcites →https://doi.org/10.1016/j.agrformet.2019.06.008openalex-snapshot
Assimilation of remote sensing into crop growth models: Current status and perspectives
inferredcites →https://doi.org/10.1016/j.agwat.2017.10.010openalex-snapshot
Modelling stover and grain yields, and subsurface artificial drainage from long-term corn rotations using APSIM
inferredcites →https://doi.org/10.1016/j.agwat.2018.06.034openalex-snapshot
Use of inverse modelling and Bayesian optimization for investigating the effect of biochar on soil hydrological properties
inferredcites →https://doi.org/10.1016/j.agwat.2021.106884openalex-snapshot
Assimilation of soil moisture and canopy cover data improves maize simulation using an under-calibrated crop model
inferredcites →https://doi.org/10.1016/j.biosystemseng.2017.08.003openalex-snapshot
Assimilation of canopy cover and biomass measurements in the crop model AquaCrop
inferredcites →https://doi.org/10.1016/j.compag.2017.09.010openalex-snapshot
Global sensitivity and uncertainty analysis of nitrate leaching and crop yield simulation under different water and nitrogen management practices
inferredcites →https://doi.org/10.1016/j.eja.2018.01.006openalex-snapshot
Towards improved calibration of crop models – Where are we now and where should we go?
inferredcites →https://doi.org/10.1016/j.eja.2018.09.006openalex-snapshot
Improving regional winter wheat yield estimation through assimilation of phenology and leaf area index from remote sensing data
inferredcites →https://doi.org/10.1016/j.eja.2020.126208openalex-snapshot
Assimilation of coupled microwave/thermal infrared soil moisture profiles into a crop model for robust maize yield estimates over Southeast United States
inferredcites →https://doi.org/10.1016/j.envsoft.2014.04.008openalex-snapshot
The parallel system for integrating impact models and sectors (pSIMS)
inferredcites →https://doi.org/10.1016/j.envsoft.2014.07.009openalex-snapshot
APSIM – Evolution towards a new generation of agricultural systems simulation
inferredcites →https://doi.org/10.1016/j.jenvman.2017.11.051openalex-snapshot
Beyond the nutrient strategies: Common ground to accelerate agricultural water quality improvement in the upper Midwest
inferredcites →https://doi.org/10.1016/j.jhydrol.2017.10.061openalex-snapshot
Simultaneous state-parameter estimation supports the evaluation of data assimilation performance and measurement design for soil-water-atmosphere-plant system
inferredcites →https://doi.org/10.1016/j.mcm.2011.10.038openalex-snapshot
Assimilation of MODIS-LAI into the WOFOST model for forecasting regional winter wheat yield
inferredcites →https://doi.org/10.1016/j.rse.2013.07.018openalex-snapshot
Assimilation of remotely sensed soil moisture and vegetation with a crop simulation model for maize yield prediction
inferredcites →https://doi.org/10.1016/j.scitotenv.2014.07.030openalex-snapshot
Comparative study of nitrate leaching models on a regional scale
inferredcites →https://doi.org/10.1016/s1161-0301(02)00108-9openalex-snapshot
An overview of APSIM, a model designed for farming systems simulation
inferredcites →https://doi.org/10.1017/s0021859621000150openalex-snapshot
Grand challenges for the 21st century: what crop models can and can't (yet) do
inferredcites →https://doi.org/10.1029/2006wr005100openalex-snapshot
State and bias estimation for soil moisture profiles by an ensemble Kalman filter: Effect of assimilation depth and frequency
inferredcites →https://doi.org/10.1029/2011wr011420openalex-snapshot
Assimilating remote sensing observations of leaf area index and soil moisture for wheat yield estimates: An observing system simulation experiment
inferredcites →https://doi.org/10.1080/00224561.2002.12457412openalex-snapshot
An investigation of spatial variation in soil erosion, soil properties, and crop production within an agricultural field in Devon, United Kingdom
inferredcites →https://doi.org/10.1080/01431160701408386openalex-snapshot
Corn‐yield estimation through assimilation of remotely sensed data into the CSM‐CERES‐Maize model
inferredcites →https://doi.org/10.1080/17415977.2012.712527openalex-snapshot
Estimating and including observation-error correlations in data assimilation
inferredcites →https://doi.org/10.1088/1748-9326/abef8fopenalex-snapshot
Rotating maize reduces the risk and rate of nitrate leaching
inferredcites →https://doi.org/10.1088/1748-9326/ac0f26openalex-snapshot
A comprehensive uncertainty quantification of large-scale process-based crop modeling frameworks
inferredcites →https://doi.org/10.1088/2515-7620/abf15fopenalex-snapshot
A machine learning based modelling framework to predict nitrate leaching from agricultural soils across the Netherlands
inferredcites →https://doi.org/10.1093/jxb/erw449openalex-snapshot
Interactions between nitrate and ammonium in their uptake, allocation, assimilation, and signaling in plants
inferredcites →https://doi.org/10.1109/jstars.2009.2037163openalex-snapshot
Evaluating the Utility of Remotely Sensed Soil Moisture Retrievals for Operational Agricultural Drought Monitoring
inferredcites →https://doi.org/10.1109/jstars.2014.2315999openalex-snapshot
Assimilation of SMOS Soil Moisture for Quantifying Drought Impacts on Crop Yield in Agricultural Regions
inferredcites →https://doi.org/10.1109/jstars.2015.2403135openalex-snapshot
Jointly Assimilating MODIS LAI and ET Products Into the SWAP Model for Winter Wheat Yield Estimation
inferredcites →https://doi.org/10.1109/mcs.2009.932223openalex-snapshot
The ensemble Kalman filter for combined state and parameter estimation
inferredcites →https://doi.org/10.1111/gcb.15409openalex-snapshot
Beyond ecosystem modeling: A roadmap to community cyberinfrastructure for ecological data‐model integration
inferredcites →https://doi.org/10.1111/gcbb.12788openalex-snapshot
Ecosystem‐scale biogeochemical fluxes from three bioenergy crop candidates: How energy sorghum compares to maize and miscanthus
inferredcites →https://doi.org/10.1111/pce.12043openalex-snapshot
On improving the communication between models and data
inferredcites →https://doi.org/10.1155/2016/4569218openalex-snapshot
Soil Moisture Assimilation Using a Modified Ensemble Transform Kalman Filter Based on Station Observations in the Hai River Basin
inferredcites →https://doi.org/10.1175/1520-0469(2003)060<1140:acobae>2.0.co;2openalex-snapshot
A Comparison of Breeding and Ensemble Transform Kalman Filter Ensemble Forecast Schemes
inferredcites →https://doi.org/10.1175/jtech-d-13-00018.1openalex-snapshot
Error Estimates for Ocean Surface Winds: Applying Desroziers Diagnostics to the Cross-Calibrated, Multiplatform Analysis of Wind Speed
inferredcites →https://doi.org/10.1175/mwr-d-19-0240.1openalex-snapshot
A Review of Innovation-Based Methods to Jointly Estimate Model and Observation Error Covariance Matrices in Ensemble Data Assimilation
inferredcites →https://doi.org/10.1256/qj.05.108openalex-snapshot
Diagnosis of observation, background and analysis‐error statistics in observation space
inferredcites →https://doi.org/10.1371/journal.pone.0105992openalex-snapshot
SoilGrids1km — Global Soil Information Based on Automated Mapping
inferredcites →https://doi.org/10.1515/johh-2017-0011openalex-snapshot
Investigating the impact of surface soil moisture assimilation on state and parameter estimation in SWAT model based on the ensemble Kalman filter in upper Huai River basin
inferredcites →https://doi.org/10.2134/agronj1996.00021962008800050005xopenalex-snapshot
Potential Uses and Limitations of Crop Models
inferredcites →https://doi.org/10.2134/agronj2002.0153openalex-snapshot
Nitrogen Management Strategies to Reduce Nitrate Leaching in Tile-Drained Midwestern Soils
inferredcites →https://doi.org/10.2134/agronj2013.0421openalex-snapshot
Evaluating APSIM Maize, Soil Water, Soil Nitrogen, Manure, and Soil Temperature Modules in the Midwestern United States
inferredcites →https://doi.org/10.2134/jeq2013.10.0402openalex-snapshot
Nitrate Leaching in Californian Rice Fields: A Field- and Regional-Scale Assessment
inferredcites →https://doi.org/10.2307/j.ctvc7796hopenalex-snapshot
Ecological Forecasting
inferredcites →https://doi.org/10.32614/r.manualsopenalex-snapshot
R: A Language and Environment for Statistical Computing
inferredcites →https://doi.org/10.3389/fpls.2016.01630openalex-snapshot
Modeling Long-Term Corn Yield Response to Nitrogen Rate and Crop Rotation
inferredcites →https://doi.org/10.3390/s21041247openalex-snapshot
Estimation of Winter Wheat Yield in Arid and Semiarid Regions Based on Assimilated Multi-Source Sentinel Data and the CERES-Wheat Model

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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How to build a crop model. A review
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Synergizing process-based modeling and data-driven learning for precision nitrogen optimization in winter wheat
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A review of integrated crop growth and hydrological models for sustainable agriculture in the midwest: Challenges and opportunities
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Comparison between different major data assimilation algorithms on region tobacco growth simulation
inferred← citeshttps://doi.org/10.1016/j.compag.2026.111725openalex-snapshot
Crop models as decision support tools in digital agriculture: The APSIM-based RotationARM tool in Australia
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Evaluating decision support systems for precision irrigation and water use efficiency
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Models for predicting nitrate leaching and assessing cover crop mitigation: A systematic review
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Enhancing physically-based flood forecasts through fusion of long short-term memory neural network with unscented Kalman filter
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Progress and perspectives in data assimilation algorithms for remote sensing and crop growth model
inferred← citeshttps://doi.org/10.1088/1748-9326/ac998bopenalex-snapshot
Augmenting agroecosystem models with remote sensing data and machine learning increases overall estimates of nitrate-nitrogen leaching
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Sustainability of Maize–Soybean Rotation for Future Climate Change Scenarios in Northeast China
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Soil moisture prediction model based on LSTM and Elman neural network
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An Improved Load Forecasting Method Based on the Transfer Learning Structure under Cyber-Threat Condition
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Probabilistic assessment of cereal-rye impacts on regional crop yield and soil carbon
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Probabilistic Assessment of Cereal Rye Cover Crop Impacts on Regional Crop Yield and Soil Carbon
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inferred← citeshttps://doi.org/10.3390/rs15164081openalex-snapshot
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