Eco Harvesting Using 5G Technology

Agriculture has always been in the bigger picture regarding human sustenance, yet traditional farming methods struggle to meet the increasing global demand for food production. With modern technologies, precision agriculture has emerged as a revolutionary approach to optimizing farming practices. Our project presents a cutting-edge system integrating 5G networks, drones, and deep learning techniques to enhance crop health monitoring and disease detection. By leveraging convolutional neural networks (CNNs) and the ResNet152v2 model, the system accurately identifies crop diseases from aerial imagery, enabling early intervention. Incorporating IoT sensors and realtime data transmission via 5 G ensures seamless communication between components, allowing for precise and targeted pesticide application. This intelligent framework minimizes chemical overuse and enhances sustainability by reducing environmental impact. Furthermore, the proposed system enables large-scale monitoring with unprecedented accuracy, addressing limitations in traditional methods that rely on manual observation. By utilizing high-resolution drone imagery and AI-driven analysis, farmers can receive instant insights into crop conditions, enabling proactive decision-making. The integration of GPS-based mapping further ensures that treatments are applied only where necessary, reducing costs and preventing unnecessary chemical exposure to healthy crops. This holistic approach to smart farming improves yield and resource efficiency and aligns with global efforts to promote sustainable agricultural practices. By combining machine learning with high-speed connectivity, our project paves the way for a more intelligent, efficient agrarian system that maximizes productivity while promoting eco-friendly farming practices.