Crop disease detection methods vary from traditional machine learning, which uses Hand-
Crafted Features (HCF) to the current deep learning techniques that utilize deep features. In …

Automatic recognition of leaf disease in plant is a difficult task in trending intelligent
agriculture because of the variances of appearances and surroundings of crop diseases. In …

Massive and high-quality in situ data are essential for Earth-observation-based agricultural
monitoring. However, field surveying requires considerable organizational effort and money …

Dengue fever is a life-threatening illness that affects both industrialized and poor nations,
including Pakistan. It is necessary to forecast the illness at an early stage to avoid it …

Radish leaf diseases can have a significant negative influence on agricultural productivity,
thus accurate and prompt disease detection is essential for efficient disease management. In …

Dengue fever is a life-threatening illness that affects both industrialized and poor nations,
including Pakistan. It is necessary to forecast the illness at an early stage to avoid it …

The productivity in the agricultural sector is minimized due to the disease in plants. In
general, the ailments that affect plants are identified by the farmers and the losses are …