Abstract Agriculture is increasingly integrating automation and IoT technologies to enhance productivity and efficiency. This project proposes an Automated Tomato Picker Machine that utilizes IoT and AI-based image processing to identify and harvest ripe tomatoes. The system employs an ESP32-CAM module for image capture, a color sensor for ripeness detection, and a 4-DOF robotic arm for precise picking. The AI model, trained using Google Teachable Machine or TensorFlow, is deployed on the ESP32-CAM to classify tomato ripeness in real time. Once a ripe tomato is detected, a Node-MCU processes the data and sends signals to control the robotic arm for picking. The system can be connected to a mobile application via IoT, providing real-time updates and notifications to farmers. This automation reduces labor dependency, enhances harvesting efficiency, and minimizes post-harvest losses. The IoT-based monitoring system ensures better decision-making, leading to optimized yield and res...
Introduction Artificial Intelligence in Cybersecurity refers to the use of intelligent technologies to identify, analyze, and respond to cyber threats. AI-powered cybersecurity systems can analyze large amounts of network and security data, recognize suspicious patterns, and detect potential threats in real time. By combining Artificial Intelligence with cybersecurity, organizations can improve threat detection, automate security operations, and respond to attacks more effectively. Evolution of Cybersecurity with AI Cybersecurity has evolved through different stages based on the technologies used to protect digital systems. The first stage involves Traditional Cybersecurity , where security depends on firewalls, antivirus software, passwords, and predefined security rules. The second stage is Automated Cybersecurity , where systems automatically detect known threats and perform predefined responses. The advanced stage is AI-Integrated Cybersecurity , where intelligent systems use...