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Wireless communication systems are instrumental to various emerging technologies such as the Internet of Things (IoT), virtual reality (VR), augmented reality (AR), and autonomous driving [1], [2], [3]. Collectively, these technologies rely on wireless systems in their operation, and, as such, they are driving a surge in demand for wireless services, which translates into increasing demands for data rates.
Abstract : The use of technology in agriculture has been gaining significant attention recently. By employing advanced tools and automation and leveraging the latest advancements in the Internet of Things (IoT) and artificial intelligence (AI), the agricultural sector is witnessing improvements in its crop yields and overall efficiency. This paper presents the design and performance analysis of a machine learning (ML) model for agricultural applications involving acoustic sensing.
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