Machine Learning-Based Time Series Weather Forecasting AI Model for Greenhouse Automation

An AI-driven weather forecasting system designed for greenhouse automation using machine learning and time-series analysis. The model predicts environmental conditions such as temperature, humidity, and rainfall patterns to optimize greenhouse operations, improve crop productivity, and enable intelligent automated decision-making for modern smart agriculture applications.