Various forms of machine learning (ML) methods have historically played a valuable role in
environmental remote sensing research. With an increasing amount of “big data” from earth …

An early and reliable estimation of crop yield is essential in quantitative and financial
evaluation at the field level for determining strategic plans in agricultural commodities for …

Rapid and accurate estimation of soil moisture content (SMC) is an important part of
precision agriculture, and it is also one of the key problems to be solved in field real-time …

The agriculture sector is confronted with numerous challenges in the quest for accurate crop
yield estimation, which is essential for efficient resource management and mitigating food …

In this study, the bridge concrete structure is taken as the research object, and the real
image is used for crack identification. In structural engineering, surface cracks are the main …

Electrical Resistivity Inversion is an inverse problem that intends to infer the resistivity model
from apparent resistivity data. The input and output have the format as the image but are with …

A novel ground penetrating radar (GPR)-based subsurface water content classification and
prediction technique using deep neural networks is proposed. The fantastic advantages of …

An efficient metal recovery in heap leach operations relies on uniform distribution of
leaching reagent solution over the heap leach pad surface. However, the current practices …

Considering that large quantities of soil hyperspectral data include the redundancy and
overlap of spectral information, the technology of selecting feature wavelength can …

The water inrush hazards have become one of the bottleneck problems that constrain tunnel
construction. Ahead geological prospecting is the major tool to avoid geo-hazards and …