Agrinofy’s Agricultural Intelligence Update

Key Takeaways  Climate intelligence in agriculture refers to AI-driven advisory systems that translate seasonal forecasts, rainfall predictions, and real-time weather data into specific, actionable farming decisions — when to plant, when to irrigate, when to hold off on fertilizer application. Peer-reviewed field research from Mali and Niger shows that smallholder farmers using climate information services … Read more

Executive Summary  AI-powered pest and disease detection uses image recognition (deep learning models such as CNNs, YOLO, and Vision Transformers) to identify crop pests and diseases from a single photograph, often in seconds. Peer-reviewed studies report detection accuracy ranging from roughly 90% to above 99% under controlled conditions, though real-world field accuracy is typically lower … Read more