The issue of food security continues to be a prominent global concern, affecting a significant
number of individuals who experience the adverse effects of hunger and malnutrition. The …

Plant diseases can significantly reduce crop yield and product quality. Visual inspections of
plants by human observers for disease identification are time-consuming, costly, and prone …

The timely identification of diseases in maize leaf offers several benefits such as increased
crop productivity, reduced reliance on harmful chemicals, and improved production of …

This study introduces YOLOv8n-vegetable, a model designed to address challenges related
to imprecise detection of vegetable diseases in greenhouse plant environment using …

A fluorescent sensor array (FSA) combined with deep learning (DL) techniques was
developed for meat freshness real-time monitoring from development to deployment. The …

Plants are the most important source of nutrition for humans and animals. Consequently, the
demand for food keeps increasing over time. However, plants constantly face challenges in …

Due to current global population growth, resource shortages, and climate change, traditional
agricultural models face major challenges. Precision agriculture (PA), as a way to realize the …

The well-being of cotton crops is of utmost importance for maintaining agricultural
productivity, and the early detection of diseases plays a critical role in achieving this …

Early identification of plant fungal diseases is critical for timely treatment, which can prevent
significant agricultural losses. While molecular analysis offers high accuracy, it is often …

The occurrence of tomato diseases has substantially reduced agricultural output and
financial losses. The timely detection of diseases is crucial to effectively manage and …