💡[Feature]: Prepare a Synthetic dataset with suitable features and implement Crop Rotation Recommendation System

[J-B-Mugundh]

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Feature Description

Develop a Crop Rotation Recommendation System that suggests optimal crops based on previous crops, soil type, potassium, phosphorus, nitrogen levels, and moisture content. Since an existing dataset for this feature doesn't exist, a synthetic dataset will be prepared using these variables. This dataset will simulate realistic conditions, enabling the system to provide accurate crop recommendations for different soil types and nutrient levels.

Use Case

Farmers input details such as previous crops grown, soil type, and current soil nutrient levels (potassium, phosphorus, nitrogen, and moisture). The system processes this data to recommend suitable crops for the upcoming season, optimizing yield and maintaining soil health.

Benefits

Sustainable Farming: Promotes biodiversity and soil health by ensuring optimal crop rotations.
Increased Yield: Helps farmers make data-driven decisions that improve crop yield and efficiency.
Resource Optimization: Efficient use of water and nutrients by recommending crops based on current soil conditions.
Synthetic Dataset Preparation: By generating a synthetic dataset, the system will be tested on realistic scenarios to ensure accurate and adaptable recommendations.

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Priority

High

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• I have read the Contributing Guidelines
• I'm a GSSOC'24 contributor
• I want to work on this issue

[github-actions]

Thank you for creating this issue! 🎉 We'll look into it as soon as possible. In the meantime, please make sure to provide all the necessary details and context. If you have any questions reach out to LinkedIn. Your contributions are highly appreciated! 😊

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[sanjay-kv]

#1367

[github-actions]

Hello @J-B-Mugundh! Your issue #1344 has been closed. Thank you for your contribution!