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Parameter Estimation for Crop Models

https://doi.org/10.2134/agronj2001.934757x
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Outgoing claims: the papers this work cites, builds on, or argues with.

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What points at this work

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

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The ‘trade-off’ between synthesis of primary and secondary compounds in young tomato leaves is altered by nitrate nutrition: experimental evidence and model consistency
inferred← citeshttps://doi.org/10.1093/treephys/25.10.1303openalex-snapshot
A virtual peach fruit model simulating changes in fruit quality during the final stage of fruit growth
inferred← citeshttps://doi.org/10.1101/2023.09.18.558336openalex-snapshot
CRONOSOJA: a daily time-step hierarchical model predicting soybean development across maturity groups in the Southern Cone
inferred← citeshttps://doi.org/10.1104/pp.105.063339openalex-snapshot
ETHY. A Theory of Fruit Climacteric Ethylene Emission
inferred← citeshttps://doi.org/10.1109/pma.2012.6524817openalex-snapshot
Assessment of parameter uncertainty in plant growth model identification
inferred← citeshttps://doi.org/10.1111/gcbb.13004openalex-snapshot
Agroecosystem model simulations reveal spatial variability in relative productivity in biomass sorghum and maize in Iowa, USA
inferred← citeshttps://doi.org/10.1111/j.1365-313x.2010.04152.xopenalex-snapshot
Virtual profiling: a new way to analyse phenotypes
inferred← citeshttps://doi.org/10.1111/j.1757-1707.2009.01019.xopenalex-snapshot
A semimechanistic model predicting the growth and production of the bioenergy crop Miscanthus×giganteus: description, parameterization and validation
inferred← citeshttps://doi.org/10.1111/jac.12180openalex-snapshot
Modelling N and Dry Matter Partitioning between Leaf and Stem of Wheat under Varying N Supply
inferred← citeshttps://doi.org/10.1111/nph.17260openalex-snapshot
Modelling predicts tomatoes can be bigger and sweeter if biophysical factors and transmembrane transports are fine‐tuned during fruit development
inferred← citeshttps://doi.org/10.1111/wej.12523openalex-snapshot
Simulating climate change impacts on T. aman (BR‐22) rice yield: a predictive approach using DSSAT model
inferred← citeshttps://doi.org/10.11606/d.11.2018.tde-18052018-140516openalex-snapshot
Simulação de cenários agrícolas futuros para a cultura da soja no Brasil com base em projeções de mudanças climáticas
inferred← citeshttps://doi.org/10.11606/d.11.2019.tde-27062019-094725openalex-snapshot
Simulação de cenários agrícolas futuros para a cultura do feijão no Brasil com base em projeções de mudanças climáticas
inferred← citeshttps://doi.org/10.11606/t.11.2023.tde-13042023-082447openalex-snapshot
Sensitivity and uncertainty analysis of SAMUCA crop model across contrasting environments in Brazil
inferred← citeshttps://doi.org/10.1186/s42397-025-00221-5openalex-snapshot
Assessing fiber quality variability among modern upland cotton cultivars and incorporating it into the GOSSYM-based fiber quality simulation model
inferred← citeshttps://doi.org/10.1198/108571108x335855openalex-snapshot
A bayesian approach to crop Model calibration under unknown error covariance
inferred← citeshttps://doi.org/10.1300/j411v14n01_11openalex-snapshot
Characterization of Environments and Genotypes for Analyzing Genotype × Environment Interaction
inferred← citeshttps://doi.org/10.13031/trans.58.10709openalex-snapshot
Parameterization Guidelines and Considerations for Hydrologic Models
inferred← citeshttps://doi.org/10.13140/rg.2.2.25559.09128openalex-snapshot
PLANT-WATER RELATIONSHIPS FOR SEVERAL COMMON BEAN GENOTYPES (Phaseolus vulgaris L.) WITH AND WITHOUT DROUGHT STRESS CONDITIONS
inferred← citeshttps://doi.org/10.1371/journal.pone.0195841openalex-snapshot
Estimating parametric phenotypes that determine anthesis date in Zea mays: Challenges in combining ecophysiological models with genetics
inferred← citeshttps://doi.org/10.1590/s0100-204x2012000300001openalex-snapshot
Parametrização e avaliação do modelo DSSAT/Canegro para variedades brasileiras de cana-de-açúcar
inferred← citeshttps://doi.org/10.1626/pps.16.352openalex-snapshot
Assimilating Remotely Sensed Information with the WheatGrow Model Based on the Ensemble Square Root Filter forImproving Regional Wheat Yield Forecasts
inferred← citeshttps://doi.org/10.17660/actahortic.2020.1281.81openalex-snapshot
Fruit water content: a benefit in the fruit carbohydrate accumulation simulation
inferred← citeshttps://doi.org/10.1890/07-1133.1openalex-snapshot
A SIMPLE SOIL ORGANIC-MATTER MODEL FOR BIOMASS DATA ASSIMILATION IN COMMUNITY-LEVEL CARBON CONTRACTS
inferred← citeshttps://doi.org/10.21273/jashs.133.2.178openalex-snapshot
Assessing the Peach Fruit Refractometric Index at Harvest with a Simple Model Based on Fruit Growth
inferred← citeshttps://doi.org/10.21307/ijssis-2017-659openalex-snapshot
Evaluation Of Different Sensing Approaches Concerning To Nondestructive Estimation Of Leaf Area Index (Lai) For Winter Wheat
inferred← citeshttps://doi.org/10.2134/advagricsystmodel2.c13openalex-snapshot
Estimating DSSAT Cropping System Cultivar‐Specific Parameters Using Bayesian Techniques
inferred← citeshttps://doi.org/10.2134/advagricsystmodel2.c14openalex-snapshot
The STICS Crop Model and Associated Software for Analysis, Parameterization, and Evaluation
inferred← citeshttps://doi.org/10.2134/agronj14.0311openalex-snapshot
Modeling Response of Warm‐Season Turfgrass to Drought and Irrigation
inferred← citeshttps://doi.org/10.2134/agronj2004.0631openalex-snapshot
New Indices to Quantify Patterns of Residuals Produced by Model Estimates
inferred← citeshttps://doi.org/10.2134/agronj2010.0302openalex-snapshot
Parameterization and Evaluation of Predictions of DSSAT/CANEGRO for Brazilian Sugarcane
inferred← citeshttps://doi.org/10.2134/agronj2010.0432openalex-snapshot
Crop Model Calibration: A Statistical Perspective
inferred← citeshttps://doi.org/10.2134/agronj2011.0201openalex-snapshot
Rapid Mapping of the Leaf Area Index in Agricultural Crops
inferred← citeshttps://doi.org/10.2134/agronj2011.0251openalex-snapshot
Physical Modeling of U.S. Cotton Yields and Climate Stresses during 1979 to 2005
inferred← citeshttps://doi.org/10.2134/agronj2011.0349openalex-snapshot
Uncertainty Analysis and Parameter Estimation for the CSM‐CROPGRO‐Cotton Model
inferred← citeshttps://doi.org/10.2134/agronj2012.0038openalex-snapshot
Assessing the Uncertainty when Using a Model to Compare Irrigation Strategies
inferred← citeshttps://doi.org/10.2134/agronj2016.06.0347openalex-snapshot
Identification of the Most Sensitive Parameters of Winter Wheat on a Global Scale for Use in the EPIC Model
inferred← citeshttps://doi.org/10.2166/wst.2009.525openalex-snapshot
Optimal predictive control of water transport systems: Arrêt-Darré/Arros case study
inferred← citeshttps://doi.org/10.25335/m1q1-at48openalex-snapshot
AGRONOMIC MANAGEMENT OF CORN USING SEASONAL CLIMATE PREDICTIONS, REMOTE SENSING AND CROP SIMULATION MODELS
inferred← citeshttps://doi.org/10.31018/jans.v15i3.4868openalex-snapshot
Growth analysis and parametric budgeting of different exogenous phytohormones on direct sown finger millet (Eleusine coracana L.) under irrigated conditions
inferred← citeshttps://doi.org/10.31062/agrom.v27i1.26556openalex-snapshot
Simulação de cenários agrícolas futuros para algodoeiro com base em projeções de mudanças climáticas
inferred← citeshttps://doi.org/10.3389/fagro.2025.1740421openalex-snapshot
Evaluation of APSIM next generation for simulating winter wheat growth, yield response to nitrogen, and nitrogen dynamics
inferred← citeshttps://doi.org/10.3389/fgene.2020.599510openalex-snapshot
Predicting Rice Heading Date Using an Integrated Approach Combining a Machine Learning Method and a Crop Growth Model
inferred← citeshttps://doi.org/10.3390/agronomy10040607openalex-snapshot
A Comparison of Moment-Independent and Variance-Based Global Sensitivity Analysis Approaches for Wheat Yield Estimation with the Aquacrop-OS Model
inferred← citeshttps://doi.org/10.3390/horticulturae12070865openalex-snapshot
A Beta Function-Based Model for Predicting Leaf Appearance and Expansion in Romaine Lettuce
inferred← citeshttps://doi.org/10.3390/rs10121968openalex-snapshot
Utilizing Collocated Crop Growth Model Simulations to Train Agronomic Satellite Retrieval Algorithms
inferred← citeshttps://doi.org/10.3390/rs11131577openalex-snapshot
Double-Rice System Simulation in a Topographically Diverse Region—A Remote-Sensing-Driven Case Study in Hunan Province of China
inferred← citeshttps://doi.org/10.3390/rs12162666openalex-snapshot
Bayesian Calibration of the Aquacrop-OS Model for Durum Wheat by Assimilation of Canopy Cover Retrieved from VENµS Satellite Data
inferred← citeshttps://doi.org/10.3917/quae.turkh.2009.01.0010openalex-snapshot
Concevoir et construire la décision
inferred← citeshttps://doi.org/10.4018/978-1-4666-4785-5.ch007openalex-snapshot
Modeling and Prediction of Time-Varying Environmental Data Using Advanced Bayesian Methods
inferred← citeshttps://doi.org/10.48550/arxiv.1903.12423openalex-snapshot
An innovating Statistical Learning Tool based on Partial Differential Equations, intending livestock Data Assimilation
inferred← citeshttps://doi.org/10.4995/cnriegos.2015.1424openalex-snapshot
METODOLOGÍA DE CALIBRACIÓN DE DOS MODELOS DE SIMULACIÓN DEL TRANSPORTE DE AGUA EN EL SUELO EN CULTIVOS HORTÍCOLAS
inferred← citeshttps://doi.org/10.5194/bg-2021-238-ac1openalex-snapshot
Reply on RC1
inferred← citeshttps://doi.org/10.5194/bg-2021-238-ac2openalex-snapshot
Reply on RC2
inferred← citeshttps://doi.org/10.5194/bg-2021-238-rc1openalex-snapshot
Comment on bg-2021-238
inferred← citeshttps://doi.org/10.5194/bg-2021-238-rc2openalex-snapshot
Comment on bg-2021-238
inferred← citeshttps://doi.org/10.5194/gmdd-7-3867-2014openalex-snapshot
Parameters sensitivity analysis for a~crop growth model applied to winter wheat in the Huanghuaihai Plain in China
inferred← citeshttps://doi.org/10.70675/15eca098z3cbaz4e78z83c5zac6df9d4bfafopenalex-snapshot
Construction et analyse d'outils d'apprentissage statistique biomimétiques basés sur des systèmes d'équation aux dérivées partielles pour l'assimililation de données d'élevage
inferred← citeshttps://doi.org/10.70675/33b0120bza748z45b4z822cz060da538e856openalex-snapshot
Recherche de carte d'idéotypes de sorgho d'après un modèle de culture : optimisation conditionnelle à l'aide d'un métamodèle de krigeage
inferred← citeshttps://doi.org/10.70675/34ec2143z3295z4b97z85aaz3b6a5f06a3a6openalex-snapshot
Intégration de la modélisation écophysiologique et génétique pour la définition et l'estimation des valeurs génétiques d'idéotypes variétaux - application au cas de la croissance en biomasse chez le sorgho
inferred← citeshttps://doi.org/10.70675/42194069z98b2z44e3zb17eze3e59f4757b9openalex-snapshot
Imagerie quatitative non invasive et expérimentation pour l'intégration des phénomènes d'écoulement non uniforme dans les modèles de transfert de masse en milieux poreux hétérogènes : Application aux sols structurés
inferred← citeshttps://doi.org/10.70675/d4555f0ez2df5z4c0cz8b47zd98ccaa32652openalex-snapshot
Analyse et modélisation des effets du système de culture et de la situation de production sur les principaux bioagresseurs du tournesol
inferred← citeshttps://doi.org/10.70675/da9a89ebz8cd3z4d65zbfa7zf572cff5fae0openalex-snapshot
The cropping-plan decision-making : a farm level modelling and simulation approach
inferred← citeshttps://doi.org/10.7916/d89s237wopenalex-snapshot
Estimating the impact of climate change on crop yields: The importance of non-linear temperature effects
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