Rapid changes are occurring in our global ecosystem, and stresses on human well-being, such as climate regulation food production, increasing, soil is a critical component of agriculture. The project aims to use Data Mining (DM) classification techniques predict data. Analysis DM strategies k-Nearest-Neighbors (k-NN), Random-Forest (RF), Decision-Tree (DT) Naïve-Bayes (NB) used type. These clas...

Soil classification systems help geotechnical engineers anticipate soil properties and provide early guidance for engineering analyses. Current recognize the central role of particle size inherent differences between coarse- fine-grained fractions. However, they adopt fixed boundaries irrespective a broad range fines plasticity shape, disregard distinct thresholds mechanical hydraulic propertie...

This study concerned a stretch of 17 km of a 94-km highway alignment in Southeastern Nigeria that has a high incidence of pavement failure arising from subgrade failure. The subgrade of this section of the roadway is composed of Ekenkpon shale, New Netim marl, and Nkporo shale. Under the Unified Soil Classification System, the shales classify as OH (organic clay) and the marl classifies as MH (...

In order to fully utilize remote sensing to inventory crop production, it is important to identify the factors that affect the accuracy of Landsat classifications. The objective of this study was to investigate the effect of scene characteristics involving crop, soil, and weather variables on the accuracy of Landsat classifications of corn and soybeans. Segments sampling the U.S. Corn Belt were...