This review explores the growing need for AI-based algorithms in diagnosing fetal facial
anomalies, which are often difficult to detect due to limitations in current imaging techniques …

Prompt detection of plant diseases is crucial due to their detrimental impact on society,
ecology, and economy. Accurate categorization of tomato leaf diseases is essential for …

Plants play a crucial role in human history by providing essential resources such as food.
However, they are susceptible to various diseases like leaf blight, grey spots, and rust …

Early disease diagnosis and classification in tomato plants may save farmers money on crop
treatments and lead to enhanced food output. There has been a lot of work done by …

In today's life, agriculture holds considerable importance in human life and the economy of a
nation. Agriculture, including tomato farming, plays a vital role as one of the most extensively …

Automatic detection of tomato leaf spot disease is essential for control and loss reduction.
Traditional algorithms face challenges such as large amount of data, multiple training and …

The employment of deep convolutional neural networks has recently contributed to
significant progress in single image super-resolution (SISR) research. However, the high …

Sustainable agriculture is of utmost importance in Saudi Arabia to resolve problems like
environmental degradation and water scarcity. The country has made considerable …

Tomato leaf diseases significantly threaten global food security and agricultural productivity.
Traditional manual diagnosis methods are often subjective and time-consuming, prompting …