Corn is one of the main food crops in China, and its area ranks in the top three in the world.
However, the corn leaf disease has seriously affected the yield and quality of corn. To …

The identification of corn leaf diseases in a real field environment faces several difficulties,
such as complex background disturbances, variations and irregularities in the lesion areas …

The timely identification and early prevention of crop diseases are essential for improving
production. In this paper, deep convolutional-neural-network (CNN) models are …

Corn is one of the most important food crops in China, and the occurrence of disease will
result in serious yield reduction. Therefore, the diagnosis and treatment of corn disease is an …

Various crop diseases are a major problem worldwide since their occurrence leads to a
significant decrease in crop production. The image-based automatic identification of crop …

The identification of corn leaf diseases in real scenarios faces important challenges, such as
complex background interference, intra-and inter-class scale changes, and lightweight …

Accurate diagnosis of corn crop diseases is a complex challenge faced by farmers during
the growth and production stages of corn. In order to address this problem, this paper …

Wheat disease detection is crucial for disease diagnosis, pesticide application optimization,
disease control, and wheat yield and quality improvement. However, the detection of wheat …

In the field of agricultural information, the automatic identification and diagnosis of maize leaf
diseases is highly desired. To improve the identification accuracy of maize leaf diseases and …

Plant diseases play a significant role in agricultural production, in which early detection of
plant diseases is deemed an essential task. Current computational intelligence and …