Big data and its applications in smart real estate and the disaster management life cycle: A systematic analysis

HS Munawar, S Qayyum, F Ullah… - Big Data and Cognitive …, 2020 - mdpi.com
Big data is the concept of enormous amounts of data being generated daily in different fields
due to the increased use of technology and internet sources. Despite the various …

The soil moisture data bank: The ground-based, model-based, and satellite-based soil moisture data

A Tavakol, KR McDonough, V Rahmani… - Remote Sensing …, 2021 - Elsevier
Soil moisture is a critical component of the climate system due to the link it provides between
atmospheric and terrestrial energy, water, and carbon cycles. A better understanding of …

IoT-IIRS: Internet of Things based intelligent-irrigation recommendation system using machine learning approach for efficient water usage

A Bhoi, RP Nayak, SK Bhoi, S Sethi, SK Panda… - PeerJ Computer …, 2021 - peerj.com
In the traditional irrigation process, a huge amount of water consumption is required which
leads to water wastage. To reduce the wasting of water for this tedious task, an intelligent …

Short-term soil moisture forecasting via Gaussian process regression with sample selection

M Liu, C Huang, L Wang, Y Zhang, X Luo - Water, 2020 - mdpi.com
Soil moisture is a critical limiting factor for crop growth. Accurate soil moisture prediction
helps to schedule irrigation and improve the crop production. A soil moisture prediction …

Spatial distribution of soil moisture in Mongolia using SMAP and MODIS satellite data: a time series model (2010–2025)

E Natsagdorj, T Renchin, PD Maeyer, B Darkhijav - Remote Sensing, 2021 - mdpi.com
Soil moisture is one of the essential variables of the water cycle, and plays a vital role in
agriculture, water management, and land (drought) and vegetation cover change as well as …

Optimizing Resource Allocation in Agriculture through IoT and AI

M Rahman, T Chippy, VD Gowda… - 2023 7th …, 2023 - ieeexplore.ieee.org
Irrigation, fertilisation, and crop rotation has gained paramount importance in the agricultural
industry. Technological advances motivate farmers to achieve optimum crop yields …

Studies on predicting soil moisture levels at Andhra Loyola College, India, using SARIMA and LSTM models

MT Kumar, MC Rao - Environmental Monitoring and Assessment, 2023 - Springer
Time series modeling is a way to predict future values by examining temporal data. The
present study analyzes the monthly mean soil moisture data at various depths: surface …

[HTML][HTML] Soil moisture forecasting from sensors-based soil moisture, weather and irrigation observations: A systematic review

I Ivanova - Smart Agricultural Technology, 2024 - Elsevier
Agriculture is one of the most essential industries since it provides food for the entire
population worldwide. Maintaining limited water resources is a challenging problem in this …

Enhancing Subsurface Soil Moisture Forecasting: A Long Short-Term Memory Network Model Using Weather Data

MS Basir, S Noel, D Buckmaster, M Ashik-E-Rabbani - Agriculture, 2024 - mdpi.com
Subsurface soil moisture is a primary determinant for root development and nutrient
transportation in the soil and affects the tractability of agricultural vehicles. A statistical …

IoT and SVM-based Smart Irrigation System for Sustainable Water Usage

AS Alphonse, VS Kumar… - … and Smart Electrical …, 2022 - ieeexplore.ieee.org
The typical farming procedure requires a significant quantity of water use, which results in
water waste. An automatic watering technology is desperately required to decrease the …