The application of Deep Learning models in fruit analysis has garnered significant attention
due to its potential to revolutionize the agricultural sector and enhance crop monitoring. This …

As the global population continues to grow and environmental conditions become
increasingly unpredictable, meeting the demands for food becomes increasingly difficult. To …

Health is very important for human life. In particular, the health of the brain, which is the
executive of the vital resource, is very important. Diagnosis for human health is provided by …

Enhancing model performance in agricultural image analysis faces challenges due to
limited datasets, biological variability, and uncontrolled environments. Deep learning …

This research addresses the crucial aspects of ensuring the quality and origin of fruits in the
supply chain, as well as estimating their quantity measures. A novel interwoven deep neural …

The automatic identification of fresh vegetables and fruits is imperative to streamline
agricultural processes, ensuring rapid and accurate assessment of produce quality …

In many agricultural products, information technologies are utilized in classification
processes at the desired quality. It is undesirable to mix different types of cherries, especially …

Objective Machine learning and deep learning techniques offer a promising multidisciplinary
solution for subarachnoid hemorrhage (SAH) detection. The novel transfer learning …

Forecasting the yield of a vital crop-like apples needs to be done in a way that is both
accurate and dependable to facilitate effective planning and management. There have been …

花生品质筛选在农业生产和食品安全中具有重要意义. 针对传统花生品质筛选方法效率低的问题
, 提出改进YOLOv8n 算法的轻量化花生品质检测模型LE-YOLO (lightweight and efficient) …