Intelligent Agriculture Decision Support System Using Artificial Intelligence

Abstract

Our Intelligent Agriculture Decision Support System using AI started as a simple idea: give farmers one place to get clear answers. Not scattered tools. One platform. It now supports the full farming from checking the soil to planning what to grow and when to sell. We built it mainly for new and small farmers who don’t always have quick access to experts. The system mixes several AI modules such as soil image classification with CNNs, crop suggestions based on context reasoning, fertilizer planning, pest and disease alerts, weather checks, and plant growth tracking. Everything runs through one backend that handles fast responses and structured decision rules, so the advice feels specific to each user. When a farmer uploads a soil photo, the model reads it and identifies the soil type. Then the system looks at climate, location, and market signals to craft a crop list that actually makes sense for that region. Fertilizer plans and growth timelines come from tuned prompt setups that generate short, farmer friendly messages. The pest and disease feature scans plant images, spots early issues, and pulls treatment steps from expert approved notes. Weather and market modules keep updating in the background, helping the user avoid sudden risks