Cancer remains the leading cause of death worldwide, significantly impacting individuals
and healthcare systems alike. In recent decades, skin cancer has surged in prevalence …

To address the issues of low accuracy and slow response speed in tea disease
classification and identification, an improved YOLOv7 lightweight model was proposed in …

Precipitation extremes have surged in frequency and duration in recent decades,
significantly impacting various sectors, including agriculture, water resources, energy, and …

The early identification of plant diseases is essential for mitigating crop damage and
promoting robust agricultural output. By implementing effective disease management …

The global emergence of the unprecedented COVID-19 pandemic in late 2019 has led to
millions of infections and thousands of fatalities, profoundly affecting various aspects of life …

Many areas rely heavily on bean plants, hence treating diseases in these plants calls for
early and accurate diagnosis of leaf lesions. Large-scale farming is excluded from traditional …

Early detection and accurate classification of plant diseases are critical for enhancing crop
yield and ensuring food security. Traditional methods, while effective, often require manual …

In recent years, the agricultural sector has been rapidly transformed by the use of advanced
technologies, often referred to as' smart farming'or'smart agriculture'. Digital tools and other …

Black gram is an essential pulse crop extensively cultivated across Asia, recognized for its
nitrogen-fixing capabilities and its importance as a dietary staple. However, its production is …