AGRI PREDICT: AI based Crop Advisory System for Intelligent Agriculture

The Agri Predict will enhance the farmer's ability to implement highly informative interpretative agricultural practices. The use of machine learning algorithms gives accurate information regarding the nutrients required, water required and the presence of pests. The state of the soil is defined with reference to factors including acidity, water availability, and nutrients; this direction responds to individual needs of certain crops. By so doing it offers detailed analysis this enables the farmers to address the arising issues in order to improve the general soil health and the yields of crops in the farmland. In addition to providing suggestions, the system also displays forecasts to support decision making in the long run. In a manner of anticipating crop productions and the threats posed by unfavorable climate conditions or diseases, the system enables farmers make an early reaction that results in minimal crop loss and keeps resource utilization to a bare minimum. This is a sustainable farming since the system is able to analyze data relative to history and environment that helps in saving water and fertilizer usage, crop health and costs. In conclusion, this technology can so greatly fit between conventional agriculture and the advanced agriculture of precision agriculture to increases agricultures' sustainability and resilience.