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Improving the Performance of an Operational Flood Early Warning System with the Assimilation of Satellite-Soil-Moisture Data
Soil Moisture (SM) plays a vital role in the hydrologic cycle at watershed scale by influencing the partitioning of precipitation into infiltration,...
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A Multi-scale Approach to Detect Geomorphological Hazard in a Post-fire Scenario: A Case Study in Sardinia (Central Mediterranean)
Several studies have documented a close relationship between forest fires and the instability of the soil-vegetation system. Furthermore, repeated...
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Smart Village Planning Towards Sustainability Using Geospatial Techniques – A Case Study of Muzaffarnagar District, India
The potential of land and water resources determines the socio-economic state and development of every village or location. Because of the rise in...
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Development of Z number-based fuzzy inference system to predict bearing capacity of circular foundations
Precise bearing capacity prediction of circular foundations is essential in civil engineering design and construction. The bearing capacity is...
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Comparative Analysis of Different Machine Learning Based Techniques for Crop Recommendation
Smart Agriculture is gradually becoming a blessing for mankind. It is very much efficient to mitigate food scarcity as well as minimize farmers’...
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Uncertainty and Information Asymmetry in Underground Works: A Case Study
Uncertainty, information asymmetry and inappropriate risk sharing negatively influence the delivery of construction projects and are primary causes...
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Using Machine Learning of Sensor Data to Estimate the Production of Cutter Suction Dredgers
Production estimation (the excavated soil per time) helps dredging companies to be able to manage the dredging projects efficiently and enables them...
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Deep Learning Identifies Tomato Leaf Disease by Comparing Four Architectures Using Two Types of Optimizers
The agricultural industry is vital to a country’s economic development. It has already made a significant contribution to industrialized nations’...
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Parallel Technologies in Unsteady Problems of Soil Dynamics
The paper focuses on parallel technologies in numerical modeling of unsteady soil dynamics for the trenchless technology of well construction. The...
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CYPBL: Crop Yield Prediction using Bi-Directional LSTM under PySpark interface
In the context of India's evolving economy, where agriculture remains a vital yet limited sector, the challenge is to enhance productivity on finite...
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The Effect of Groundnut Shell Ash and Metakaolin on Geotechnical Properties of Black Cotton Soils
Groundnut shell ash (GSA) and metakaolin (MK) were investigated for their stabilizing prospects in highly expansive clay soils due to the rising cost...
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Deep neural network-based spatiotemporal heterogeneous data reconstruction for landslide detection
Landslides could cause huge threats to lives and cause property damages. In the landslide prediction system, environmental information can be...
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On Burial Depth of Underground Antenna in Soil Horizons for Decision Agriculture
Decision agriculture is the practice of accurately capturing the changing parameters of the soil including water infiltration and retention,...
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Improved top-down attention phasmatodea population spiking neural network based multi crop recommendation framework
Modern agriculture refers to the contemporary practices, technologies and methods used in food production to meet the growing global demand for...
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Design and Implementation of a Real-Time Web Service for Monitoring Soil Moisture and Landslide in Lai Chau Province, Viet Nam
Web service technology has been recognized as one of key factors for develo** natural hazards monitoring systems. This study proposes an open...
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Predictive models for treated clayey soils using waste powdered glass and expanded polystyrene beads using regression analysis and artificial neural network
Waste materials contribute to a wide range of environmental and economic problems. To minimize their effects, a safe strategy for reducing such...
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Crop yield predictive modeling using optimized deep convolutional neural network: An automated crop management system
In agriculture, AI devices have developed tools that help farmers in achieving exact and controlled cultivation. Besides, it helps farmers with...
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From Functional Requirements to NoSQL Database Models: Application to IoT Geospatial Data
The design of optimal geospatial NoSQL databases is complex and depends on application requirements and query patterns. This paper presents a...
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A Prediction Method for Soil Moisture Time Series
Soil moisture prediction with high quality has important guiding effect on agricultural production. Aiming at the problem that the time series of...
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Enabling Technologies for Effective E-Waste Management
Effective or efficient management of e-waste is considered as preeminent vital challenges of the modern days. The massive scale of e-waste generated...