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: Enhancing the value of indigenous food crops such as Egusi melon, which is considered a “lost crop” in many places around the globe, can significantly contribute to food security of millions ...

• 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 ...

Arctic zone: 2.2 mg/kg Under 40 inch zone: 1.6 mg/kg Over 40 inch zone: 1.3 mg/kg Resident non-cancer hazard: 0.028 mg/kg Commercial/industrial non-cancer hazard: 0.37 mg/kg Construction worker ...

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 ...

Soil testing is a foundational step in construction, directly impacting the stability, safety, and durability of any structure. Before breaking ground on any major project—whether it’s a high-rise ...