Soil bulk density estimation methods: A review
Measurement of soil bulk density is important for understanding the physical, chemical, and
biological properties of soil. Accurate and rapid soil bulk density measurement techniques …
biological properties of soil. Accurate and rapid soil bulk density measurement techniques …
An efficient double-loop reliability-based optimization with metaheuristic algorithms to design soil nail walls under uncertain condition
One of the applicable methods for stabilizing soil walls is the nailing system consisting of
tensile struts. The stability and safety of soil nail wall systems are affected by the geometrical …
tensile struts. The stability and safety of soil nail wall systems are affected by the geometrical …
基于图像处理和SVR 的土壤容重与土壤孔隙度预测
杨玮， 兰红， 李民赞， 孟超 - 农业工程学报, 2021 - aeeisp.com
土壤容重和土壤孔隙度是衡量土壤结构的重要参数. 传统的土壤容重, 土壤孔隙度获取方法费时
费力, 且大多数预测模型的输入变量获取难度较高. 该研究利用土壤粗糙度 …
费力, 且大多数预测模型的输入变量获取难度较高. 该研究利用土壤粗糙度 …
Power-weighted prediction of photovoltaic power generation in the context of structural equation modeling
H Zhu, B Zhang, W Song, J Dai, X Lan, X Chang - Sustainability, 2023 - mdpi.com
With the popularization of solar energy development and utilization, photovoltaic power
generation is widely used in countries around the world and is increasingly becoming an …
generation is widely used in countries around the world and is increasingly becoming an …
[PDF][PDF] A holistic review of soft computing techniques
PO Omolaye, JM Mom, GA Igwue - Applied and Computational …, 2017 - academia.edu
Due to notable technological convergence that brought about exponential growth in
computer world, Soft Computing (SC) has played a vital role with automation capability …
computer world, Soft Computing (SC) has played a vital role with automation capability …
A novel hybrid model of augmented grey wolf optimizer and artificial neural network for predicting shear strength of soil
Due to the critical importance of accurate determination of soil shear strength (SSS) in major
civil engineering projects; this work is devoted to proposing hybrid models for estimating …
civil engineering projects; this work is devoted to proposing hybrid models for estimating …
Integration of PCA and fuzzy clustering for delineation of soil management zones and cost-efficiency analysis in a citrus plantation
Citrus spp. are one of the most important commercial crops with global marketing potential in
the world, as in Iran. A soil management zone (MZ) as an appropriate approach is necessary …
the world, as in Iran. A soil management zone (MZ) as an appropriate approach is necessary …
Evaluation of SPT-N values and internal friction angle correlation using artificial intelligence methods in granular soils
AB Ekmen - Soil Research, 2023 - eshop.publish.csiro.au
Context Artificial neural networks (ANNs) and genetic algorithms (GAs) have become widely
used in various engineering fields due to their ability to solve complicated issues directly …
used in various engineering fields due to their ability to solve complicated issues directly …
Comparison of multiple statistical techniques to predict soil phosphorus
M Hosseini, SR Agereh, Y Khaledian, HJ Zoghalchali… - Applied Soil …, 2017 - Elsevier
Soil scientists have tested various models to predict soil physical, chemical and biological
properties over the last few decades. Determination of soil phosphorus (P) in soils is difficult …
properties over the last few decades. Determination of soil phosphorus (P) in soils is difficult …
Inversion of soil salinity using multisource remote sensing data and particle swarm machine learning models in Keriya Oasis, northwestern China
Q Wei, I Nurmemet, M Gao, B Xie - Remote Sensing, 2022 - mdpi.com
Soil salinization is a global problem that damages soil ecology and affects agricultural
development. Timely management and monitoring of soil salinity are essential to achieve …
development. Timely management and monitoring of soil salinity are essential to achieve …