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 …

Medicinal plants are gaining attention in the pharmaceutical industry due to having less
harmful effects reactions and cheaper than modern medicine. Based on these facts, many …

Plant identification systems developed by computer vision researchers have helped
botanists to recognize and identify unknown plant species more rapidly. Hitherto, numerous …

Background High resolution and high throughput genotype to phenotype studies in plants
are underway to accelerate breeding of climate ready crops. In the recent years, deep …

Highlights•We propose an algorithm to classify a plant on the basis of its features.•In addition
to traditional features, we propose a new 'shape defining feature'.•Artificial neural network …

Plant leaf identification is a significant challenge in the fields of computer vision and pattern
recognition. This article presents a new approach to plant leaf identification, one that …

This paper proposes an approach for the classification of leaf, based on the characterization
of texture, shape, and color properties. An original plant leaf is preprocessed initially using …

Automatic plant recognition using AI is a challenging problem. In addition to the recognition
of the plant specimen, we also want to recognize the plant type in its actual living …

Plants are fundamentally important to life. Key research areas in plant science include plant
species identification, weed classification using hyper spectral images, monitoring plant …

Plants play a vital role in the cycle of nature. Plants are the only organisms which produce
food by converting light energy from the sun. They also help in maintaining oxygen balance …