Smart Plant Disease Management: Integrating Deep Learning and IoT for Rapid Diagnosis and Precision Treatment
Keywords:
Deep learning, IOT, Disease Detection, Disease ManagementAbstract
Agriculture plays a crucial role in sustaining global food security, yet crop diseases pose significant threats to agricultural productivity. Traditional diagnostic methods often prove inefficient, prompting the exploration of innovative technologies like deep learning and the Internet of Things (IoT) for revolutionizing plant disease management. Deep learning algorithms offer the capacity to analyse extensive datasets of plant images, distinguishing between healthy and diseased with remarkable accuracy. Concurrently, IoT devices facilitate real-time data collection on crop health and environmental conditions, enabling early disease detection. As agricultural demands surge, enhancing crop resilience and yield becomes imperative, driving the integration of deep learning and IoT technologies.
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