gangam-manasa/smart-agriculture-advisory-system

AI-Powered Smart Agriculture Advisory System using Weather Station Data # 🌱 Smart Agriculture Advisory System ## Overview The Smart Agriculture Advisory System is a web-based platform developed using Python and Streamlit to support data-driven agricultural decision-making. The system analyzes weather station data and provides intelligent agricultural recommendations through interactive dashboards and predictive analytics. --- ## Features ### 💧 Irrigation Advisory Provides irrigation recommendations based on temperature, humidity, and rainfall conditions. ### 🌱 Crop Stress Assessment Evaluates crop stress levels using environmental parameters such as temperature and humidity. ### 🌾 Field Condition Assessment Determines field moisture conditions (Dry, Normal, Moist, or Wet) using rainfall and humidity data. ### ☀️ Evaporation Risk Monitoring Estimates potential water loss due to environmental conditions including temperature, humidity, and wind speed. ### 📊 Weather Analytics Dashboard Allows users to upload weather station datasets and visualize trends through interactive charts and summary statistics. ### 📄 PDF Report Generation Generates professional PDF reports containing statistical summaries and graphical insights. --- ## Technologies Used * Python * Streamlit * Pandas * Plotly * ReportLab * OpenPyXL --- ## Dataset The project utilizes 7,441+ real-world weather station records collected during internship work at SBI ARISA Lab. Parameters include: * Ambient Temperature * Relative Humidity * Rainfall * Wind Speed * Wind Direction * Barometric Pressure * Light Intensity --- ## Project Structure * Home Page * Manual Prediction Module * Analysis Mode * Dataset Analytics Dashboard * About Page --- ## Developed By **Gangam Manasa** B.Tech – Computer Science and Engineering (CSE) Internship: SBI ARISA Lab --- ## Future Enhancements * Machine Learning-based irrigation prediction * Crop-specific recommendations * Real-ti …