A GA-BP Neural Network Regression Model for Predicting Soil Moisture in Slope Ecological Protection
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A GA-BP Neural Network Regression Model for Predicting Soil Moisture in Slope Ecological Protection
Authors
Keywords
-
Journal
Sustainability
Volume 14, Issue 3, Pages 1386
Publisher
MDPI AG
Online
2022-01-27
DOI
10.3390/su14031386
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Improvement of multi‐layer soil moisture prediction using support vector machines and ensemble Kalman filter coupled with remote sensing soil moisture datasets over an agriculture dominant basin in China
- (2021) Qian Zhu et al. HYDROLOGICAL PROCESSES
- Soil Moisture Retrieval Using Microwave Remote Sensing Data and a Deep Belief Network in the Naqu Region of the Tibetan Plateau
- (2021) Zhihui Yang et al. Sustainability
- Soil Moisture Retrival Based on Sentinel-1 Imagery under Sparse Vegetation Coverage
- (2019) Shuai Huang et al. SENSORS
- Research on soil moisture prediction model based on deep learning
- (2019) Yu Cai et al. PLoS One
- Accounting for soil moisture improves prediction of flowering time in chickpea and wheat
- (2019) Yashvir S. Chauhan et al. Scientific Reports
- Development of a Soil Water Movement Model for the Superabsorbent Polymer Application
- (2018) Renkuan Liao et al. SOIL SCIENCE SOCIETY OF AMERICA JOURNAL
- Interactive effects of compost and pre-planting soil moisture on plant biomass, nutrition and formation of mycorrhizas: a context dependent response
- (2018) H. T. T. Ngo et al. Scientific Reports
- Impact of Infiltration Process Modeling on Soil Water Content Simulations for Irrigation Management
- (2018) Mouna Feki et al. Water
- Optimal Allocation Method of Irrigation Water from River and Lake by Considering the Field Water Cycle Process
- (2017) Xuemin Li et al. Water
- Sustainable intensification of agriculture for human prosperity and global sustainability
- (2016) Johan Rockström et al. AMBIO
- A modified microstrip ring resonator sensor with lumped element modeling for soil moisture and dielectric predictions measurement
- (2016) Yi Lung Then et al. MEASUREMENT
- Satellite soil moisture for agricultural drought monitoring: Assessment of the SMOS derived Soil Water Deficit Index
- (2016) J. Martínez-Fernández et al. REMOTE SENSING OF ENVIRONMENT
- Individual contributions of climate and vegetation change to soil moisture trends across multiple spatial scales
- (2016) Huihui Feng Scientific Reports
- Predicting the mobile water content of vineyard soils in New South Wales, Australia
- (2015) Jonathan E. Holland et al. AGRICULTURAL WATER MANAGEMENT
- Neuro-Genetic Optimization of the Diffuser Elements for Applications in a Valveless Diaphragm Micropumps System
- (2009) Hing Lee et al. SENSORS
- A Comparison of RBF Neural Network Training Algorithms for Inertial Sensor Based Terrain Classification
- (2009) Tuba Kurban et al. SENSORS
- 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
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started