Recent years have seen the emergence of various precision weed management
technologies in both research and commercial contexts. These technologies better target …

The remarkable growth of deep learning (DL) algorithms in hyperspectral images (HSIs) in
recent years has garnered a lot of research space. This study examines and analyses over …

Mineral image classification technology based on machine vision is an efficient system for
ore sorting. With the development of artificial intelligence and computer technology, the …

In order to obtain a large amount of training data in a short time, flower classification is
carried out through image processing and deep learning algorithms based on game theory …

Flood occurrence is increasing due to the expansion of urbanization and extreme weather
like hurricanes; hence, research on methods of inundation monitoring and mapping has …

Satellite‐based optical video sensors are poised as the next frontier in remote sensing.
Satellite video offers the unique advantage of capturing the transient dynamics of floods with …

Diseases of grape leaves are destructive because they spread very quickly. Therefore, they
should be detected and tackled fast. This study proposes a novel Enhanced VGG16 model …

The complex remote sensing image acquisition conditions and the differences in crop
growth create many crop classification challenges. Frequency decomposition enables the …

Flood events have become intense and more frequent due to heavy rainfall and hurricanes
caused by global warming. Accurate floodwater extent maps are essential information …

The traditional text classification methods, which treats the values in agricultural text as
characters, will lose the original semantic expression of numerical features. In order to fully …