ABSTRACT: Expansive soils present a significant geohazard to light infrastructure worldwide, causing costly damage through swelling and shrinkage cycles driven by moisture content changes. One key ...
Abstract: The application of machine learning (ML) has accelerated the development of laser-induced breakdown spectroscopy (LIBS) in soil analysis. However, analyzing remote LIBS data in real time ...
ABSTRACT: Soil investigation prior to construction is a crucial step to ensure the stability and durability of foundations. This study aims to analyze the influence of physical properties on the ...
• Designed a classification model with 5 classes and 98% testing accuracy using a Convolutional Neural Network. • Applied Data Augmentation and reduced validation losses by 30% by applying MobileNetV2 ...
The characterization and classification of soils in irrigable areas are crucial for understanding soil types and nutrient status, which in turn help to optimize crop yield and to design soil ...
Abstract: Soil texture classification is pivotal in diverse fields, such as agriculture, environmental science, geology, civil engineering, and land management. Traditional approaches to soil texture ...
Ever thought about how soil health would sound if we could hear its heartbeat? It’s a world teeming with life, vibrant and pulsating with energy, not too far from a boisterous underground rave.
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