Artificial Intelligence-Based Crop Recommendation, and Disease Detection System

Abstract

Agriculture plays a huge role in India. It keeps a ton of people employed and pumps a lot into the economy. Still, farmers run into all sorts of issues. They struggle with picking the right crops. Optimizing fertilizers is another headache. And spotting diseases early in crops. All that leads to lower yields and worn-out soil.This study brings in an AI setup that pulls together crop suggestions, better fertilizer use, and disease spotting all in one package. It looks at soil stuff like nitrogen levels, phosphorus, potassium, pH balance, and how moist the ground is. Then it factors in things like the weather, temperature, and rainfall too. From there, it suggests the best crop and fertilizer mix.Machine learning handles the predictions for crops and fertilizers pretty accurately. For diseases, it uses deep learning with these CNN models to check leaf pictures and classify problems. The whole thing is meant to help farmers, whether they are pros or just starting out. They can make smarter choices based on data. That boosts yields, cuts down on wasted fertilizer, and keeps disease losses in check.Overall, this AI way of doing things pushes agriculture toward being smarter, more sustainable, with tech right in the mix