Enhancing state and parameter estimations of a dynamic crop model by a recombination particle filter
出版年份 2023 全文链接
标题
Enhancing state and parameter estimations of a dynamic crop model by a recombination particle filter
作者
关键词
-
出版物
COMPUTERS AND ELECTRONICS IN AGRICULTURE
Volume 214, Issue -, Pages 108355
出版商
Elsevier BV
发表日期
2023-10-31
DOI
10.1016/j.compag.2023.108355
参考文献
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- (2022) Yang Lu et al. AGRICULTURAL WATER MANAGEMENT
- Data assimilation with sensitivity-based particle filter: A simulation study with AquaCrop
- (2022) Yevgeniya Orlova et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Assimilation of soil moisture and canopy cover data improves maize simulation using an under-calibrated crop model
- (2021) Yang Lu et al. AGRICULTURAL WATER MANAGEMENT
- Remote Sensing Data Assimilation in Dynamic Crop Models Using Particle Swarm Optimization
- (2020) Matthias P. Wagner et al. ISPRS International Journal of Geo-Information
- State and parameter estimation of the AquaCrop model for winter wheat using sensitivity informed particle filter
- (2020) Tianxiang Zhang et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Genetic Operator-Based Particle Filter Combined with Markov Chain Monte Carlo for Data Assimilation in a Crop Growth Model
- (2020) Alaa Jamal et al. Agriculture-Basel
- Estimate of winter-wheat above-ground biomass based on UAV ultrahigh-ground-resolution image textures and vegetation indices
- (2019) Jibo Yue et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Bayesian calibration of AquaCrop model for winter wheat by assimilating UAV multi-spectral images
- (2019) Tianxiang Zhang et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Enhancing hydrologic data assimilation by evolutionary Particle Filter and Markov Chain Monte Carlo
- (2018) Peyman Abbaszadeh et al. ADVANCES IN WATER RESOURCES
- A review of data assimilation of remote sensing and crop models
- (2018) Xiuliang Jin et al. EUROPEAN JOURNAL OF AGRONOMY
- Fight sample degeneracy and impoverishment in particle filters: A review of intelligent approaches
- (2014) Tiancheng Li et al. EXPERT SYSTEMS WITH APPLICATIONS
- Application of Crop Model Data Assimilation With a Particle Filter for Estimating Regional Winter Wheat Yields
- (2014) Zhiwei Jiang et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Evaluating forecasting performance for data assimilation methods: The ensemble Kalman filter, the particle filter, and the evolutionary-based assimilation
- (2013) Gift Dumedah et al. ADVANCES IN WATER RESOURCES
- Global sensitivity analysis of yield output from the water productivity model
- (2013) Eline Vanuytrecht et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Examining the effectiveness and robustness of sequential data assimilation methods for quantification of uncertainty in hydrologic forecasting
- (2012) Caleb M. DeChant et al. WATER RESOURCES RESEARCH
- Evolution of ensemble data assimilation for uncertainty quantification using the particle filter-Markov chain Monte Carlo method
- (2012) Hamid Moradkhani et al. WATER RESOURCES RESEARCH
- Local density adaptive similarity measurement for spectral clustering
- (2010) Xianchao Zhang et al. PATTERN RECOGNITION LETTERS
- Particle Filtering in Geophysical Systems
- (2009) Peter Jan van Leeuwen MONTHLY WEATHER REVIEW
- Obstacles to High-Dimensional Particle Filtering
- (2008) Chris Snyder et al. MONTHLY WEATHER REVIEW
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