Looking at nature, flowers are everywhere. Classification is a difficult task, as the flowers
have a large number of species that are very similar to each other in shape, appearance and …

In computer vision, object detection is widely used in many applications such as face
detection, video surveillance, vehicle detection, plant leaf detection etc. Deep neural …

As the quality of life rises, the demand for flowers has increased significantly, leading to
higher expectations for flower sorting system efficiency and speed. This paper presents a …

Biomedical imaging is a rapidly evolving field that covers different types of imaging
techniques which are used for diagnostic and therapeutic purposes. It plays a vital role in …

Flower is the most beautiful part of this earth. In our busy lives, many flowers can be seen all
over the places. Till now, more than 352,000 flower species in the world. In our country …

Real time detection of flowers based on their growth cycle is called as phenotype. It is one of
the most important methods for judging the maturity of flowers and to estimate their yield …

Deep learning is a technology that can be used to classify flowers. In this research, flower
type classification using the CNN method with several existing CNN architectures will be …

Image processing is swiftly progressive in the area of computer science and engineering.
Image classification is a fascinating task in image processing. In this study, we have …

Image-based classification of medicinal flowers is a crucial and game-changing work that
can help in developing the traditional medical practices and healthcare techniques that have …

In the human body, kidney clears the waste from the body and maintains vigorous balance
between salt, water, and minerals in human body. The misbalancing between these leads to …