Identification of leaf disorder plays an important role in the economic prosperity of any
country. Many parts of a plant can be infected by a virus, fungal, bacteria, and other …

Several factors associated with disease diagnosis in plants using deep learning techniques
must be considered to develop a robust system for accurate disease management. A …

The agriculture industry is undergoing a rapid digital transformation and is growing powerful
by the pillars of cutting-edge approaches like artificial intelligence and allied technologies …

Plant-leaf disease detection is one of the key problems of smart agriculture which has a
significant impact on the global economy. To mitigate this, intelligent agricultural solutions …

Plants can be affected by various diseases. As such, the early detection of crop diseases
plays an essential role in the farming industry. However, such detection requires extensive …

Agriculture plays a significant role in every nation's economy by producing crops. Plant
disease identification is one of the most important aspects of maintaining an agriculturally …

Plant diseases impact extensively on agricultural production growth. It results in a price hike
on food grains and vegetables. To reduce economic loss and to predict yield loss, early …

Citrus (Citrus reticulata) plants are affected by several diseases and require keen attention
to detect and cure the diseases in time; otherwise, significant financial loss is incurred. With …

Researchers are looking for new ideas that can greatly increase the amount of food grown
while also cutting costs. For precision agriculture to work, pests, weeds, and diseases must …

The increasing application of artificial intelligence in agriculture production and
management has generated a large amount of data, leading to a demand for processing this …