Plant species classification is crucial for biodiversity protection and conservation. Manual
classification is time-consuming, expensive, and requires experienced experts who are often …

We propose using a deep convolutional neural network (CNN) for the problem of plant
identification from leaf vein patterns. In particular, we consider classifying three different …

Food and beverage assessment is an evaluation method used to measure the strengths and
weaknesses of a food and beverage system to make improvements. These assessments …

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

Recognizing the desired herb among thousands of herbs is an exhausting and time-
consuming practice. Hence, herbs identification via a vision system is beneficial since the …

The conservation of biodiversity is crucial as many plant species are critically under
extinction. The traditional medicinal system, an alternative to synthetic drugs, promote …

Plants are the most important part in life on earth as oxygen supplier to breathe, groceries,
fuel, medicine and more. Plants can be classified based on its leaves shape. Classification …

Plants such as herbs are widely used in the medical and cosmetic industry. Recognizing a
species and detecting an early disease of a plant are quite challenging and difficult to …

In the present paper, an expert system for automatic recognition of different plant species
through their leaf images is investigated by employing the ant colony optimization (ACO) as …

Plant recognition is closely related to people's life. The operation of the traditional plant
identification method is complicated, and is unfavorable for popularization. The rapid …