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 ...
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 ...
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 ...
Abstract: There has been increasing concern about the phenomenon of leaf plant diseases over the last few years. Causes for the prevalence of the leaf plant diseases include climate changes and virus ...
Abstract: Agriculture plays an importance role in feeding the global population; thus, timely and accurate plant diseases diagnosis is crucial to yield protection. This research implements a hybrid ...