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 …

Frauds accounted for significant losses in the financial sector and emerged as the industry's
biggest challenge. Companies invest significant amounts to prevent such fraud. It has been …

Accurate measurements of soil thickness are crucial for assessing landslide susceptibility,
slope stability, and soil conservation. However, there is a relative scarcity of research on the …

To solve the problems of whale optimization algorithm (WOA) with slow convergence speed,
low accuracy, and poor global search ability, a multistrategy hybrid adaptive whale …

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 …

This paper presents a new approach to plant classification by using leaf edge feature
combination with Morphological Transformations and defining key points on leaf edge with …

This paper develops a new plant leaf classification model based on enhanced segmentation
and optimal feature selection. The first process is the pre-processing, in which RGB to grey …

As a highly automated power transmission network, the smart grid can monitor each user
and grid node and connect different devices to improve the function of conventional power …

In this research, an intelligent approach for the identification of Indian medicinal plant leaves
is presented. Herein, heterogeneous features extracted from leaves of Indian medicinal …

India exports a big volume of mangoes, the mango fruit holds significant economic and
ecological worth in India. Plant diseases are a very typical occurrence that reduces …