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Feature Explanation: Explaining how the platform assesses soil health, manages crop data, and controls pests could give users a clearer understanding of its capabilities.
Data Sources and Inputs: Clarifying what types of data inputs are required for the predictions, such as soil quality metrics, weather patterns, or crop characteristics, will guide users on how to prepare their datasets for the platform.
Prediction Models: Providing a brief overview of the machine learning models used for predictions (e.g., regression models, decision trees, etc.) would offer insights into the methodology behind the predictions.
Performance Metrics: If available, sharing performance metrics or evaluation results of the prediction models could add credibility to the platform and demonstrate its effectiveness.
Rationale
No response
Urgency
Low
Record
I have read the Contributing Guidelines
I'm a GSSOC'24 contributor
I have starred the repository
The text was updated successfully, but these errors were encountered:
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Issue Description
Suggested Change
Rationale
No response
Urgency
Low
Record
The text was updated successfully, but these errors were encountered: