Abstract Object Detection and Tracking have gained importance in recent years because of
the great advances in image and video analysis techniques and the accurate results these …

Tea leaf diseases are a major challenge to agricultural productivity, with far-reaching
implications for yield and quality in the tea industry. The rise of machine learning has …

The increasing food scarcity necessitates sustainable agriculture achieved through
automation to meet the growing demand. Integrating the Internet of Things (IoT) and …

The infusion of generative artificial intelligence (AI), as exemplified by models such as
ChatGPT and Bard is proving to be a revolutionary catalyst within the building and …

The recognition of fire at its early stages and stopping it from causing socioeconomic and
environmental disasters remains a demanding task. Despite the availability of convincing …

This study explores the diverse applications, challenges, and future prospects of employing
vision transformers in various material science domains, including biomaterials, ceramic …

Excessive lighting or sunlight can make it difficult to judge visually. The same goes for
cameras that function like the human eye. In the field of computer vision, object tasks have a …

The occurrence of tomato diseases has substantially reduced agricultural output and
financial losses. The timely detection of diseases is crucial to effectively manage and …

In this study, an innovative approach based on multimodal data and the transformer model
was proposed to address challenges in agricultural disease detection and question …

Sooty mold is a common disease found in citrus plants and is characterized by black fungi
growth on fruits, leaves, and branches. This mold reduces the plant's ability to carry out …