Rice leaf diseases significantly impact yield and quality. Traditional diagnostic methods rely on manual inspection and empirical knowledge, making them subjective and prone to errors. This study ...

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Imagine handing over the reins of your workflow to an AI that operates independently, making decisions and executing tasks without waiting for your input. Sounds futuristic, doesn’t it? That’s exactly ...

YOLOv7 is a state-of-the-art object detection model known for its speed and accuracy. This repository focuses on utilizing the YOLOv7 model in an efficient and scalable manner by implementing it with ...

Over a year ago, a new camera stunned the world with its ability to snap 10 trillion frames per second. That speed made it possible to watch light move in slow motion. But for all its speed, the ...

Introduction: To achieve fast detection of pear fruits in natural pear orchards and optimize path planning for harvesting robots, this study proposes the AHG-YOLO model for multi-category detection of ...

This ROS 2 workspace contains a project demonstrating real-time object detection using a smartphone camera stream (via Android) integrated with YOLOv5/v8 through community ROS packages. The detections ...

Abstract: Object detection and tracking are essential components in autonomous systems, enabling accurate environmental perception and real-time decision-making. Despite the widespread use of advanced ...