Research on Provincial-Level Soil Moisture Prediction Based on Extreme Gradient Boosting Model
出版年份 2023 全文链接
标题
Research on Provincial-Level Soil Moisture Prediction Based on Extreme Gradient Boosting Model
作者
关键词
-
出版物
Agriculture-Basel
Volume 13, Issue 5, Pages 927
出版商
MDPI AG
发表日期
2023-04-24
DOI
10.3390/agriculture13050927
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Modelling soil moisture using climate data and normalized difference vegetation index based on nine algorithms in alpine grasslands
- (2023) Shaohua Wang et al. Frontiers in Environmental Science
- A GA-BP Neural Network Regression Model for Predicting Soil Moisture in Slope Ecological Protection
- (2022) Dunwen Liu et al. Sustainability
- Improving soil moisture prediction using a novel encoder-decoder model with residual learning
- (2022) Qingliang Li et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- A low-cost approach for soil moisture prediction using multi-sensor data and machine learning algorithm
- (2022) Thu Thuy Nguyen et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Comparative evaluation of drought indices for monitoring drought based on remote sensing data
- (2021) Wei Wei et al. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
- Regional soil moisture prediction system based on Long Short-Term Memory network
- (2021) Nemanja Filipović et al. BIOSYSTEMS ENGINEERING
- An attention-aware LSTM model for soil moisture and soil temperature prediction
- (2021) Qingliang Li et al. GEODERMA
- Comparison of the use of a physical-based model with data assimilation and machine learning methods for simulating soil water dynamics
- (2020) Peijun Li et al. JOURNAL OF HYDROLOGY
- Assessment of artificial intelligence models for calculating optimum properties of lined channels
- (2020) Majid Niazkar JOURNAL OF HYDROINFORMATICS
- Weekly soil moisture forecasting with multivariate sequential, ensemble empirical mode decomposition and Boruta-random forest hybridizer algorithm approach
- (2019) Ramendra Prasad et al. CATENA
- Using data-driven methods to explore the predictability of surface soil moisture with FLUXNET site data
- (2019) Jinjing Pan et al. HYDROLOGICAL PROCESSES
- Research on soil moisture prediction model based on deep learning
- (2019) Yu Cai et al. PLoS One
- Deep learning in agriculture: A survey
- (2018) Andreas Kamilaris et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Dynamic Neural Network Modelling of Soil Moisture Content for Predictive Irrigation Scheduling
- (2018) Olutobi Adeyemi et al. SENSORS
- Drought stress in maize causes differential acclimation responses of glutathione and sulfur metabolism in leaves and roots
- (2016) Nisar Ahmad et al. BMC PLANT BIOLOGY
- A comparison between wavelet based static and dynamic neural network approaches for runoff prediction
- (2016) Muhammad Shoaib et al. JOURNAL OF HYDROLOGY
- Predicting the mobile water content of vineyard soils in New South Wales, Australia
- (2015) Jonathan E. Holland et al. AGRICULTURAL WATER MANAGEMENT
- Improving Soil Moisture Profile Prediction With the Particle Filter-Markov Chain Monte Carlo Method
- (2015) Hongxiang Yan et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Combined effects of precipitation and air temperature on soil moisture in different land covers in a humid basin
- (2015) Huihui Feng et al. JOURNAL OF HYDROLOGY
- Soil water prediction based on its scale-specific control using multivariate empirical mode decomposition
- (2012) Wei Hu et al. GEODERMA
- Changes in soil water dynamics due to variation in precipitation and temperature: An ecohydrological analysis in a tallgrass prairie
- (2010) Jesse E. Bell et al. WATER RESOURCES RESEARCH
- Evaluating soil quality indices in an agricultural region of Jiangsu Province, China
- (2009) Yanbing Qi et al. GEODERMA
- Soil moisture retrieval from remotely sensed data: Neural network approach versus Bayesian method
- (2008) Claudia Notarnicola et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Integration of atmospheric sciences and hydrology for the development of decision support systems in sustainable water management
- (2007) Harald Kunstmann et al. PHYSICS AND CHEMISTRY OF THE EARTH
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