One of the essential components of human civilization is agriculture. It helps the economy in
addition to supplying food. Plant leaves or crops are vulnerable to different diseases during …

This research conducted a bibliometric analysis of scholarly literature on fruit sorting and
grading using machine vision, identifying primary themes, sources, most-cited publications …

Introduction Paddy leaf diseases have a catastrophic influence on the quality and quantity of
paddy grain production. The detection and identification of the intensity of various paddy …

This review aims to uncover the multifaceted landscape of methodologies employed by
researchers for accurate fruit classification. The exploration encompasses an array of …

Kidney tumours (KTs) rank seventh in global tumour prevalence among both males and
females, posing a significant health challenge worldwide. Early detection of KT plays a …

Maize is one of the world's most important crops, and maize leaf diseases can have a direct
impact on maize yields. Although deep learning-based detection methods have been …

Maize is a vital crop in China for both food and industry. The nitrogen content plays a crucial
role in its growth and yield. Previous researchers have conducted numerous studies on the …

Early detection and diagnosis of crop anomalies is crucial for enhancing crop yield and
quality. Recently, the combination of machine learning and deep learning with hyperspectral …

In the era of advancing artificial intelligence (AI), its application in agriculture has become
increasingly pivotal. This study explores the integration of AI for the discriminative …

In order to estimate bayberry yield, a lightweight bayberry target detection count model,
YOLOv7-CS, based on YOLOv7, was proposed to address the issues of slow detection and …