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 …

The work aims to develop an automatic recognition model to classify medicinal plants using
machine learning techniques to enrich the traditional medical system of India. Though many …

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 …

The work aim to develop an automatic recognition model using IoT and machine learning
(ML) techniques for the classification of therapeutic plants to enrich the traditional medicinal …

The continuous development of robot technology has made phenotype detection robots a
key for extracting and analyzing phenotyping data in agriculture and forestry. The different …

In the realm of modern digital phenotyping technological advancements, the demand of
annotated datasets is increasing for either training machine learning algorithms or …

Plant identification based on leaf images is a widely concerned application field in artificial
intelligence and botany. The key problem is extracting robust discriminative features from …

A shape descriptor is an effective tool for describing the shape feature of an object in remote
sensing images. Researchers have put forward a lot of excellent descriptors. The …

This study aims to identify Para rubber species using a combination of five machine learning
techniques to classify leaf images. The learning process is defined using a dataset for each …

In this paper, we present a novel double graph regularized double dictionary learning
(DGRDDL) method for image classification. The proposed method jointly constructs a …