The agriculture industry is undergoing a rapid digital transformation and is growing powerful
by the pillars of cutting-edge approaches like artificial intelligence and allied technologies …

Soil classification is one of the major affairs and emanating topics in a large number of
countries. The population of the world is rising at a majorly rapid pace and along with the …

The detection of small objects has always been one of the key challenges in vehicle
detection. In this work, a standard for dividing the object more accurately than traditional …

Glass surface detection is challenging as glass normally borrows similar visual appearances
from the arbitrary objects/scenes behind it. Although some methods have been proposed to …

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 …

To meet demand for agriculture products, researchers have recently focused on precision
agriculture to increase crop production with less input. Crop detection based on computer …

Hyperspectral images can easily discriminate different materials due to their fine spectral
resolution. However, obtaining a hyperspectral image (HSI) with a high spatial resolution is …

Object detection and recognition is an integral part of Computer Vision. It has a multitude of
applications ranging from character recognition to video analysis. Object detection now play …

To prevent coal mine safety accidents caused by non-standard mining operations, higher
requirements have been proposed for identifying miners' behavior in surveillance videos. In …

Automatic crowd counting using density estimation has gained significant attention in
computer vision research. As a result, a large number of crowd counting and density …