In the field of groundwater engineering, a convolutional neural network (CNN) has become
a great role to assess the spatial groundwater potentiality zones and land use/land cover …

The assessment of soil health is of paramount importance for promoting sustainable
agriculture and enhancing ecosystem resilience. 1 Healthy soils play a vital role in …

Abstract The utilization of Artificial Intelligence (AI) and Machine Learning (ML) in the image
processing domain is useful to detect and recognize the types of soil. The main aim of the …

Agriculture is the underlying occupation of the vast people in India and it is a major
economic contribution. Soil is prime for the vital nutrient supply to the crops and its yield …

The determination of subgrade/subsoil strength is one of the most important pavement
design factors in transportation engineering, particularly for railways, roadways, and airport …

Since its inception, cloud computing has greatly transformed our lives by connecting the
entire world through shared computational resources over the internet. The COVID-19 …

Bulldozers are indispensable heavy equipment for earthwork construction, and improving
the intelligence level of bulldozers is of great significance to the construction industry. An …

Soil classification is a growing research area in the current era. Various studies have
proposed different techniques to deal with the issues, including rule-based, statistical, and …

Computer vision has become a powerful tool in the field of biosensing, aiding in the
development of innovative and precise systems for the analysis and interpretation of …

Aiming at the problems of incomplete classification features extraction of remote sensing
images and low accuracy of crop classification in existing crop classification and recognition …