Plant stress reduction research has advanced significantly with the use of Artificial
Intelligence (AI) techniques, such as machine learning and deep learning. This is a …

In this study, a deep learning method combining knowledge graph and diffusion Transformer
has been proposed for cucumber disease detection. By incorporating the diffusion attention …

Agriculture is the primary source of income for the majority of the Indian farming community.
Plantation crops play a significant part in improving the farmers' economic condition. The …

Artificial intelligence (AI) refers to the study and development of computer systems able to
mimic human intelligence and behavior. The application of AI in cancer research has been …

Existing approaches often fail to capture the complex spatial-temporal interactions among
crop conditions, environmental factors, and disease progression, leading to suboptimal …

The temperature in the UAE is the subject of this investigation that we are carrying out. The
paper investigates two techniques for forecasting temperature change in the United Arab …

The urgent necessity to bolster agricultural productivity while ensuring quality control has
amplified the demand for advanced diagnostic methods for fruit disease detection. Thermal …

At each stage of development, the crop is affected by weather conditions in a different way.
Thus, the amount of weather-related factors that affect crop output can be ascertained by …

Agricultural productivity in arid environments heavily relies on the judicious selection of
crops and timely disease management. In this context, the integration of advanced …