smart farming

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  Dashboard

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  Results

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  Crop names

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  Crop recommendation stats

Inspiration The need for sustainable agriculture inspired us to create a data-driven tool to optimize crop yields and resource usage amidst climate challenges.

What It Does Our solution combines a Tableau dashboard and a Dash-based predictive tool to recommend crops based on soil and climate conditions, visualize critical factors, and provide actionable insights for smarter farming.

How We Built It

• Cleaned and prepared data in Python.
• Created an interactive Tableau dashboard for visualizing soil and crop suitability.
• Built a Dash app with a predictive model to recommend crops based on user inputs.

Challenges

• Cleaning and structuring messy data.
• Optimizing the prediction model for accuracy.
• Designing a user-friendly interface for non-technical users.

Accomplishments

• Developed an intuitive tool that combines analytics and visualization.
• Empowered farmers with actionable, data-driven insights.

What We Learned Clean data and intuitive design are key to delivering impactful solutions for non-technical users.

What's Next

• Integrate IoT for real-time updates.
• Add weather forecasting and mobile accessibility.
• Expand metrics for a holistic smart farming solution.

Built With

• database
• machine-learning
• python
• tableu