Rice stands as a crucial staple food globally, with its enduring sustainability hinging on the
prompt detection of rice leaf diseases. Hence, efficiently detecting diseases when they have …

In recent years, scientific data on cancer has expanded, providing potential for a better
understanding of malignancies and improved tailored care. Advances in Artificial …

Introduction Semantic segmentation is effective in dealing with complex environments.
However, the most popular semantic segmentation methods are usually based on a single …

The interplay of machine learning (ML) and deep learning (DL) within the agroclimatic
domain is pivotal for addressing the multifaceted challenges posed by climate change on …

Automated rice variety detection and classification is a task that includes automatically
categorizing and identifying varieties or different types of rice based on different …

When agricultural experts explore the use of artificial intelligence technology to identify and
detect crop diseases, they mainly focus on the research of a stable environment, but ignore …

Rice (Oryza sativa L.) is one type of cultivated plant that has the ability to adapt to various
conditions and is a main ingredient of food in many countries, especially in Asia, including …

This study investigates the use of advanced computer vision techniques for assessing the
severity of Orientia tsutsugamushi bacterial infectivity. It uses fluorescent scrub typhus …

Contamination of harmful additives in fruits has become a concerning norm these days.
Owing to the great popularity of fruits, dishonest vendors frequently use harmful chemicals to …

Amidst the burgeoning demands of fruit agriculturists and grading companies for enhanced
fruit quality classification, this research presents a cutting-edge approach to binary fruit …