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Learn to develop a comprehensive backend system for an AI-powered pest detection and chatbot application in this 18-minute tutorial video. Master the integration of YOLOv8 model for pest detection, implement Growing Degree Days (GDD) calculations using OpenWeatherMap API data, and create a Flask-based server architecture. Explore the step-by-step process of setting up the development environment, structuring backend folders, and integrating OpenAI's GPT models for intelligent pest control advice. Gain hands-on experience with Python, Flask Framework, OpenCV, NumPy, and Ultralytics YOLOv8 while building a system that processes pest images, performs detections, and delivers actionable insights through a chatbot interface. Perfect for developers interested in combining agricultural technology with artificial intelligence to create practical solutions for farmers.
