The Blue Maize Maturity Predictor is an intelligent web based application that uses RGB color analysis and environmental factors to determine if maize crops are mature or immature, helping farmers optimize harvest timing.
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This web based application combines machine learning model with an interactive interface to deliver accurate maize maturity predictions.
Upload images or manually enter RGB values to analyze maize coloration patterns that indicate maturity.
Account for temperature and humidity conditions that affect maize development and maturation.
Random Forest model delivers accurate maturity predictions based on multiple input factors.
Track and compare previous predictions to monitor crop development over time.
Get guidance and explanations from a dedicated maize assistant chatbot.
Export prediction history as CSV files for further analysis and record-keeping.
This web based application follows a simple four-step process to deliver accurate maize maturity predictions.
Choose between manual RGB entry or image upload for color analysis.
Set temperature and humidity values to account for growing conditions.
ML model processes the color and environmental inputs.
Receive mature/immature prediction and save to history for tracking.
Dual-tabbed interface makes it easy to analyze maize maturity and get advice from Maize Assistant.
Built with modern technologies for performance, accuracy, and ease of use.
Powered by Streamlit and FastAPI to create a responsive and interactive experience.
Random Forest model trained to recognize maize maturity patterns from visual and environmental data.
Rich visual feedback using Matplotlib for color channel analysis and heatmaps.
Dual-component architecture with Streamlit frontend communicating with FastAPI backend.
Start using the Blue Maize Maturity Predictor today to make data-driven decisions for your crops.
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