A review of machine learning in geochemistry and cosmochemistry: Method improvements and applications

Y He, Y Zhou, T Wen, S Zhang, F Huang, X Zou… - Applied …, 2022 - Elsevier
The development of analytical and computational techniques and growing scientific funds
collectively contribute to the rapid accumulation of geoscience data. The massive amount of …

[HTML][HTML] Root zone soil moisture estimation with Random Forest

C Carranza, C Nolet, M Pezij, M van der Ploeg - Journal of hydrology, 2021 - Elsevier
Accurate estimates of root zone soil moisture (RZSM) at relevant spatio-temporal scales are
essential for many agricultural and hydrological applications. Applications of machine …

Soil moisture estimation using novel bio-inspired soft computing approaches

R Moazenzadeh, B Mohammadi… - … of Computational Fluid …, 2022 - Taylor & Francis
Soil moisture (SM) is of paramount importance in irrigation scheduling, infiltration, runoff,
and agricultural drought monitoring. This work aimed at evaluating the performance of the …

Spatiotemporal modelling of soil moisture in an A tlantic forest through machine learning algorithms

VA de Oliveira, AF Rodrigues… - european Journal of …, 2021 - Wiley Online Library
Understanding the spatiotemporal behaviour of soil moisture in tropical forests is
fundamental because it mediates processes such as infiltration, groundwater recharge …

Downscaling satellite soil moisture using geomorphometry and machine learning

M Guevara, R Vargas - PloS one, 2019 - journals.plos.org
Annual soil moisture estimates are useful to characterize trends in the climate system, in the
capacity of soils to retain water and for predicting land and atmosphere interactions. The …

Machine learning approach to estimate soil matric potential in the plant root zone based on remote sensing data

RF Maia, CB Lurbe, J Hornbuckle - Frontiers in Plant Science, 2022 - frontiersin.org
There is an increasing interest in using the Internet of Things (IoT) in the agriculture sector to
acquire soil-and crop-related parameters that provide helpful information to manage farms …

A technical overview of the North Carolina ECONet

SM Saia, SP Heuser, MD Neill… - … of Atmospheric and …, 2023 - journals.ametsoc.org
Regional weather networks—also referred to as mesonets—are imperative for filling in the
spatial and temporal data gaps between nationally supported weather stations. The North …

Towards new soil water flow equations using physics‐constrained machine learning

A Ghorbani, M Sadeghi, SB Jones - Vadose Zone Journal, 2021 - Wiley Online Library
Abstract The Richardson–Richards equation (RRE) is a widely used partial differential
equation (PDE) for modeling moisture dynamics in unsaturated soil. However, field soil …

A low-power IoT device for measuring water table levels and soil moisture to ease increased crop yields

E López, C Vionnet, P Ferrer-Cid, JM Barcelo-Ordinas… - Sensors, 2022 - mdpi.com
The simultaneous measurement of soil water content and water table levels is of great
agronomic and hydrological interest. Not only does soil moisture represent the water …

Digital mapping of soil landscape parameters

PK Garg, RD Garg, G Shukla, HS Srivastava - Poland: Springer …, 2020 - Springer
Model performance depends on the variables used to represent soil–landscape
relationships. Therefore variable selection is an important aspect of digital mapping …