Nowadays, recognition of plant, leaf, and flower images is one of the most challenging
issues due to the wide variety of classes on earth, which are based on amount of texture …

Wild chrysanthemums mainly present germplasm collections such as leaf multiform, flower
color, aroma, and secondary compounds. Wild chrysanthemum leaf identification is critical …

The early detection of digestive problems is essential for lowering the chance of acquiring
any form of gastrointestinal cancer, including esophageal cancer. Endoscopy is the method …

In recent years, flower growing has developed into a lucrative agricultural sector that
provides employment and business opportunities for small and marginal growers in both …

There is growing recognition among financial institutions, financial regulators and policy
makers of the importance of addressing nature-related risks and opportunities. Evaluating …

Early detection of plant diseases helps to prevent loss of productivity and overcomes the
shortcomings of continuous human monitoring. To solve these problems, many researchers …

An automated flower thinning system, when combined with machine vision, has the potential
to reduce the labor force, improve efficiency, and lower costs. This combination represents …

This paper analyzes deep learning techniques for categorizing flowers, covering new
advances, issues, and advancements in this emerging field. As the significance of …

Flower classification is of great importance to the research fields of plants, food, and
medicine. Due to more abundant information on three-dimensional (3D) flower models than …

Deep learning algorithms are being used to do complex tasks like extracting meaningful
features, segmenting, and semantic classification of images. In recent years, these …