Species knowledge is essential for protecting biodiversity. The identification of plants by
conventional keys is complex, time consuming, and due to the use of specific botanical …

For decades, vision scientists have contemplated the topic of plant species classification. As
plants are of great importance to medicinal research, they are utilized in a wide range of …

In this paper, we propose a novel shape description method for mobile retrieval of leaf
images. In this method, termed multiscale arch height (MARCH), hierarchical arch height …

We present an approach to identify the plant species from the contour information from
occluded leaf image using a database of full plant leaves. Although contour based 2D shape …

In the Covid-19 pandemic situation, the world is looking for immunity-boosting techniques for
fighting against coronavirus. Every plant is medicine in one or another way, but Ayurveda …

This research investigates the application of texture features for leaf recognition for herbal
plant identification. Malaysia is rich with herbal plants but not many people can identify them …

We propose a HOG-based hand gesture recognition system running on a mobile device.
Input data is a video of hand gesture taken by a mobile device. The input data is compared …

The importance of the plant for the human being and the environment led to deeply been
studied and classified in detail. The advancement of the technology is the main factor in …

The identification of a large number of trees around us is a complex task. The people who
study plants can easily identify the plants based on the features of the leaf. Machine learning …

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