Soil hydrology in the Earth system

H Vereecken, W Amelung, SL Bauke… - Nature Reviews Earth & …, 2022 - nature.com
Soil hydrological processes (SHP) support ecosystems, modulate the impact of climate
change on terrestrial systems and control feedback mechanisms between water, energy and …

Soil moisture–plant interactions: an ecohydrological review

C Wang, B Fu, L Zhang, Z Xu - Journal of Soils and Sediments, 2019 - Springer
Purpose Soil moisture is a key ecohydrological variable in the soil–plant–atmosphere
systems; understanding soil moisture–plant interactions is at the core of ecohydrology …

Assessment of surface soil moisture using high-resolution multi-spectral imagery and artificial neural networks

L Hassan-Esfahani, A Torres-Rua, A Jensen… - Remote Sensing, 2015 - mdpi.com
Many crop production management decisions can be informed using data from high-
resolution aerial images that provide information about crop health as influenced by soil …

Modelling of soil moisture retention curve using machine learning techniques: Artificial and deep neural networks vs support vector regression models

KO Achieng - Computers & Geosciences, 2019 - Elsevier
Soil water retention curve (SWRC) is of fundamental importance in analyzing both flow and
contaminant transport in the vadose zone. Field and/or laboratory-based measurements of …

[HTML][HTML] Estimating chlorophyll with thermal and broadband multispectral high resolution imagery from an unmanned aerial system using relevance vector machines …

M Elarab, AM Ticlavilca, AF Torres-Rua… - International Journal of …, 2015 - Elsevier
Precision agriculture requires high-resolution information to enable greater precision in the
management of inputs to production. Actionable information about crop and field status must …

A comparison of numerical and machine-learning modeling of soil water content with limited input data

F Karandish, J Šimůnek - Journal of Hydrology, 2016 - Elsevier
Soil water content (SWC) is a key factor in optimizing the usage of water resources in
agriculture since it provides information to make an accurate estimation of crop water …

Efficient river water quality index prediction considering minimal number of inputs variables

F Othman, ME Alaaeldin, M Seyam… - Engineering …, 2020 - Taylor & Francis
Water Quality Index (WQI) is the most common determinant of the quality of the stream-flow.
According to the Department of Environment (DOE, Malaysia), WQI is chiefly affected by six …

Smart soil parameters estimation system using an autonomous wireless sensor network with dynamic power management strategy

JJ Estrada-López, AA Castillo-Atoche… - IEEE Sensors …, 2018 - ieeexplore.ieee.org
This paper presents the design of a wireless sensor network (WSN) system for smart
estimation of soil conditions. The WSN is formed by very low-power autonomous sensor …

[HTML][HTML] Improving soil moisture prediction using a novel encoder-decoder model with residual learning

Q Li, Z Li, W Shangguan, X Wang, L Li, F Yu - Computers and Electronics in …, 2022 - Elsevier
The skillful prediction of soil moisture can provide much help for many practical applications
including ecosystem management and precision agriculture. It presents great challenges …

Seasonal forecast of soil moisture over Mediterranean-climate forest catchments using a machine learning approach

RC Joshi, D Ryu, PNJ Lane, GJ Sheridan - Journal of Hydrology, 2023 - Elsevier
Seasonal forecast of soil moisture at large spatial scale over forested landscape has
numerous implications in forest hydrology and bushfire risk planning. Remotely sensed …