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Enhancing crop model parameter estimation across computing environments: Utilizing the GLUE method and parallel computing for determining genetic coefficients
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Algorithm for estimating cultivar-specific parameters in crop models for newer crop cultivars
Improving crop modeling to better simulate maize yield variability under different irrigation managements
Olufemi P. Abimbola, Trenton E. Franz, Daran Rudnick, Derek Heeren, Haishun Yang, Adam Wolf, Abia Katimbo, Hope N. Nakabuye and Anthony Amori Agricultural Water Management 262 107429 (2022) https://doi.org/10.1016/j.agwat.2021.107429
Temporal Variation and Component Allocation Characteristics of Geometric and Physical Parameters of Maize Canopy for the Entire Growing Season
Bingze Li, Ming Ma, Shengbo Chen, Xiaofeng Li, Si Chen and Xingming Zheng Remote Sensing 14(13) 3017 (2022) https://doi.org/10.3390/rs14133017
Dynamic Modeling of Crop–Soil Systems to Design Monitoring and Automatic Irrigation Processes: A Review with Worked Examples
A framework to quantify uncertainty of crop model parameters and its application in arid Northwest China
Hui Ran, Shaozhong Kang, Xiaotao Hu, Ning Yao, Sien Li, Wene Wang, Marcelo V. Galdos and Andrew J. Challinor Agricultural and Forest Meteorology 316 108844 (2022) https://doi.org/10.1016/j.agrformet.2022.108844
Differences in parameter estimates derived from various methods for the ORYZA (v3) Model
Parameter Estimation in a PDE Model for the Spatial Spread of Cocoa Black Pod Disease
C. G. Nembot Fomba, G. M. ten Hoopen, S. Soubeyrand, L. Roques, Z. Ambang and P. Takam Soh Bulletin of Mathematical Biology 83(10) (2021) https://doi.org/10.1007/s11538-021-00934-z
Evaluating Different Selection Criteria for Phase Type Survival Tree Construction
Lalit Garg, Sally I. McClean, Maria Barton, Brian J. Meenan, Ken Fullerton, Georgios Kontonatsios, Marcello Trovati, Ioannis Konkontzelos, Xiaolong Xu and Mohsen Farid Big Data Research 25 100250 (2021) https://doi.org/10.1016/j.bdr.2021.100250
Modeling winter barley root distribution in flat and raised bed planting systems subject to full, deficit and rainfed irrigation
M. Mansouri, Marie-France Destain, H. Nounou and M. Nounou International Journal of Environmental Science and Development 7(7) 525 (2016) https://doi.org/10.18178/ijesd.2016.7.7.833
Global sensitivity analysis of outputs over rice-growth process in ORYZA model
Methods of Introducing System Models into Agricultural Research
S. Buis, D. Wallach, S. Guillaume, et al. Advances in Agricultural Systems Modeling, Methods of Introducing System Models into Agricultural Research 395 (2015) https://doi.org/10.2134/advagricsystmodel2.c14
Assessing the propagation of uncertainties in multi-objective optimization for agro-ecosystem adaptation to climate change
ORCHIDEE‐STICS, a process‐based model of sugarcane biomass production: calibration of model parameters governing phenology
Aude Valade, Nicolas Vuichard, Philippe Ciais, Françoise Ruget, Nicolas Viovy, Benoît Gabrielle, Neil Huth and Jean‐François Martiné GCB Bioenergy 6(5) 606 (2014) https://doi.org/10.1111/gcbb.12074
Parameter identification of the STICS crop model, using an accelerated formal MCMC approach
Exploring Innovative and Successful Applications of Soft Computing
Majdi Mansouri, Benjamin Dumont and Marie-France Destain Advances in Computational Intelligence and Robotics, Exploring Innovative and Successful Applications of Soft Computing 112 (2014) https://doi.org/10.4018/978-1-4666-4785-5.ch007
Bayesian methods for predicting LAI and soil water content
Multivariate global sensitivity analysis for dynamic crop models
Matieyendou Lamboni, David Makowski, Simon Lehuger, Benoit Gabrielle and Hervé Monod Field Crops Research 113(3) 312 (2009) https://doi.org/10.1016/j.fcr.2009.06.007
The power and control of gravitropic movements in plants: a biomechanical and systems biology view