Background Identification of leaf diseases plays an important role in the growing process of
different types of plants. Current studies focusing on the detection and categorization of leaf …

Manual analysis of LiCSAR deformation data in tectonic zones and timely detection of pre-
earthquake anomalous activity are very time-consuming. To solve this problem, an LiCSAR …

Agriculture is pivotal in Bangladesh, with maize being a central crop. However, leaf diseases
significantly threaten its productivity. This study introduces deep learning models for …

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 …

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 …

The quality of customer service emphasizes support tickets. An excellent support ticket
system qualifies businesses to provide clients with the finest level of customer support. This …

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 …

Maize, a crucial staple crop in Zambia and many other regions, is seriously threatened by
several leaf diseases, such as Gray Leaf Spot, Maize Streak Virus, and Northern Corn Leaf …

Breast cancer is a life-threatening condition in which cancer cells grow in the breast tissues.
Though mammograms are the most effective screening tools, they aren't always accurate in …