Globally, all the major crops are significantly affected by diseases every year, as manual
inspection across diverse fields is time-consuming, tedious, and requires expert knowledge …

Plant pests and diseases are a significant threat to almost all major types of plants and
global food security. Traditional inspection across different plant fields is time-consuming …

With the continuing changes in the structure of plant and cultivation patterns, new diseases
are constantly appearing on the leaves of plant, exacerbating the threat to food security and …

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 …

Notice of Violation of IEEE Publication Principles" Grape Disease Detection Network Based
on Multi-Task Learning and Attention Features," by R. Dwivedi, S. Dey, C. Chakraborty and …

Artificial Intelligence for disease identification is currently the focus of great research interest.
Nonetheless, the approach has some problems, for example, identification takes a long time …

In this paper, we proposed a machine learning and computer vision-based automated apple
disease detection and recognition system based on leaf symptoms. The proposed method is …

Cassava is a rich source of carbohydrates, and it is vulnerable to virus diseases. Literature
survey shows that the image recognition and integrated deep learning approach is …

Apple leaf diseases seriously damage the yield and quality of apples. Current apple leaf
disease diagnosis methods primarily rely on human visual inspection, which often results in …

In Agriculture Sciences, detection of diseases is one of the most challenging tasks. The mis-
interpretations of plant diseases often lead to wrong pesticide selection, resulting in damage …