Enhancing Medicare Fraud Detection Through Machine Learning
DOI:
https://doi.org/10.63665/cfbvdb77Keywords:
Smart Agriculture, IoT, Robotics, Embedded Systems, Soil Monitoring, Autonomous NavigationAbstract
Agriculture faces critical challenges such as labor shortages, water scarcity, and rising operational costs. To address these issues, this paper presents the design and implementation of a Smart Agricultural Robot Bulldog (SARDOG), an autonomous robotic system integrated with Internet of Things (IoT) technologies and advanced sensing mechanisms. The proposed system utilizes LiDARbased navigation, environmental sensors, and a robotic arm to perform multiple agricultural tasks such as soil analysis, crop monitoring, fruit picking, and automated irrigation. SARDOG aims to improve productivity, reduce manual labor, and enable precision farming through real-time data acquisition and intelligent decision-making.
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