This review article provides a comprehensive examination of the state-of-the-art in maize
disease detection leveraging Convolutional Neural Networks (CNNs). Beginning with the …

In addition to causing production losses, plant diseases lead to environmental harm due to
the indiscriminate use of pesticides. Once limited to disease detection, Convolutional Neural …

Detection of plant disease and classificationare being investigated in many parts of the
worldto save precious medical plants from becoming extinct. Major problem in this task …

Abstract Diseases affecting the Oryza Sativa (rice) plant result in substantial agricultural
losses, leading to a decline in crop productivity by up to 25% and posing a significant threat …

Plant diseases result in devastating agricultural losses despite the vital role that agriculture
plays in the global economy. To combat such loss, Worlds economic powers have invested …

Leaf diseases pose a significant threat to global agricultural productivity, impacting both crop
yields and quality. Traditional detection methods often rely on expert knowledge, are labor …

Plants provides a substantial contribution to the world's food supply. Plant diseases
significantly damages the agriculture crops, reducing production and lowering crop grade …

Protecting maize crops from devastating plant diseases ensures global food security.
Accurate disease identification is essential for implementing effective control measures …