Featured Application Artificial intelligence offers supreme opportunities for advancement
and application in nutrition. Abstract The use of mathematical modeling and optimization in …

Plant diseases are assumed to be one of the primary causes regulating food manufacturing
and reducing deficits in crop yield, and it is crucial that plant diseases have rapid spotting …

Neural computing methods pose an edge over conventional methods for drought stress
identification because of their ease of implementation, accuracy, non-invasive approach …

Vertical farming has emerged as a solution to enhance crop cultivation efficiency and
overcome limitations in conventional farming methods. Yet, abiotic stresses significantly …

The Red River of the North has a history of flooding, dating back to the late 1800s. Flooding
in the Red River is caused by a combination of factors, including heavy snowfall, heavy …

The transfer learning model improves accuracy by reducing the marginal and conditional
probability distribution discrepancy between source and target domains. Based on the …

Rice food security is crucial amidst rapid population growth and global climate instability.
Rice is one of the primary food sources for most of the world's population, especially in the …

Machine learning (ML) models, Deep Learning (DL) Models rely on labeled data for
classification and prediction. Automated or computer-aided medical diagnosis requires a …

Image change detection in remote sensing is crucial for monitoring environmental changes
at different temporal and spatial scales. The primary goal is to identify altered pixels in multi …

Plants play a major role in agriculture field, national economy, etc. Consequently,
conservation of plants is essential for life survival. Similar to humans, plants are susceptible …