Knowledge of medicinal plant species is necessary to preserve medicinal plants and
safeguard biodiversity. The classification and identification of these plants by botanist …

Agriculture, an essential bedrock of human survival, continually grapples with the menace of
plant diseases, culminating in substantial yield reductions. While conventional detection …

Plant leaf identification is an important and challenging issue in botany and image analysis.
This is because leaves of the same class exhibit very large differences, and leaves of …

Studies regarding image classification based on plant and crop disease images that were
acquired using a visible light camera have been conducted in the past, whereas those …

A real-time plant species recognition under an unconstrained environment is a challenging
and time-consuming process. The recognition model should cope up with the computer …

Plant diseases pose a significant threat to the world's nutrition and can have severe
consequences for smallholder farmers who rely on a thriving groundnut crop for their …

Despite the significant number of classification studies conducted using plant images,
studies on nonlinear motion blur are limited. In general, motion blur results from movements …

Few studies have been conducted on thermal plant images. This is because of the difficulty
in extracting and analyzing various color-related patterns and features from the plant image …

In this paper, we propose an effective composite descriptor combining contour and
appearance features for plant species identification. The composite descriptor uses two …

There have been various studies conducted on plant images. Machine learning algorithms
are usually used in visible light image-based studies, whereas, in thermal image-based …