A review of machine learning approaches to soil temperature estimation

M Taheri, HK Schreiner, A Mohammadian, H Shirkhani… - Sustainability, 2023 - mdpi.com
Soil temperature is an essential factor for agricultural, meteorological, and hydrological
applications. Direct measurement, despite its high accuracy, is impractical on a large spatial …

Spatial interpolation of soil temperature and water content in the land-water interface using artificial intelligence

H Imanian, H Shirkhani, A Mohammadian… - Water, 2023 - mdpi.com
The distributed measured data in large regions and remote locations, along with a need to
estimate climatic data for point sites where no data have been recorded, has encouraged …

A convolutional neural network model for soil temperature prediction under ordinary and hot weather conditions: comparison with a multilayer perceptron model

V Farhangmehr, JH Cobo, A Mohammadian, P Payeur… - Sustainability, 2023 - mdpi.com
Soil temperature is a critical parameter in soil science, agriculture, meteorology, hydrology,
and water resources engineering, and its accurate and cost-effective determination and …

[HTML][HTML] Gated recurrent units for modelling time series of soil temperature and moisture: An assessment of performance and process reflectivity

M Baumberger, B Haas, W Tewes, B Risse… - … Modelling & Software, 2025 - Elsevier
Soil temperature and moisture are important variables controlling ecological processes, but
continuous high-resolution data are rarely available. Therefore, we used the correlation with …

[HTML][HTML] A comprehensive study of artificial intelligence applications for soil temperature prediction in ordinary climate conditions and extremely hot events

H Imanian, J Hiedra Cobo, P Payeur, H Shirkhani… - Sustainability, 2022 - mdpi.com
Soil temperature is a fundamental parameter in water resources and irrigation engineering.
A cost-effective model that can accurately forecast soil temperature is urgently needed …

A novel transformer-based approach for soil temperature prediction

MME Yurtsever, A Kucukmanisa, ZH Kilimci - arxiv preprint arxiv …, 2023 - arxiv.org
Soil temperature is one of the most significant parameters that plays a crucial role in glacier
energy, dynamics of mass balance, processes of surface hydrological, coaction of glacier …

In-depth examination of machine learning models for the prediction of ground temperature at various depths

JW Yang, K Dashdondov - Atmosphere, 2022 - mdpi.com
Ground temperature (GT) or soil temperature (ST) is simply the measurement of the
warmness of the soil. Even though GT plays a meaningful role in agricultural production, the …

A spatiotemporal CNN-LSTM deep learning model for predicting soil temperature in diverse large-scale regional climates

V Farhangmehr, H Imanian, A Mohammadian… - Science of The Total …, 2025 - Elsevier
Soil temperature is a critical factor in soil science, hydrology, agriculture, water resources
engineering, geotechnical engineering, geo-environmental engineering, meteorology, and …

Short‐Term Power Load Forecasting Model Design Based on EMD‐PSO‐GRU

W Zhang, T Wang - Scientific Programming, 2022 - Wiley Online Library
Aiming at the nonlinear, nonstationary, and time series characteristics of power load, this
study proposes a load forecasting method based on empirical mode decomposition and …

Deep Neural Network Analysis on Uplift Resistance of Plastic Greenhouses for Sustainable Agriculture

MH Kim, CM Song - Sustainability, 2023 - mdpi.com
In this study, we attempted to find an alternative method to identify and efficiently predict the
interaction between the soil and basic structure of plastic greenhouses for sustainable …