With the continuous expansion of highway networks in recent years, the monitoring and repair of road diseases have become one of the important tasks in traffic management. Traditional manual ...
Metabolic-associated steatotic liver disease (MASLD) is a clinically heterogeneous condition with highly variable outcomes affecting more than 30% individuals globally. The disease is conventionally ...
Abstract: Utilizing state-of-the-art deep learning techniques for intelligent farming is the aim of the YOLOv8 Algorithm. The rapid advancement of AI technologies has made precision farming essential ...
Abstract: Tomato is a major trade crop; it is among the most widely consumed crops in daily life. Crop diseases reduce not only the quality of the crops but also their amount of production, thus, ...
Abstract: Agriculture is a very significant field for increasing population over the world to meet the basic needs of food. Meanwhile, nutrition and the world economy depend on the growth of grains ...
We present a deep-learning approach for detecting diseases across multiple crop types using the PlantDoc dataset. Our method combines a classification network and an object detection network to ...
Abstract: Plant diseases seriously affect worldwide crop output, threatening food security and agricultural sustainability. This study solves these issues by introducing a hybrid machine learning ...