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Agriculture and artificial intelligence
AgritechMali
An experiment exploring how artificial intelligence can support selected agricultural decisions.
Problem
Crop selection and plant-disease identification can depend on information that is difficult to access quickly.
Solution
AgritechMali experiments with crop-recommendation and plant-disease recognition flows in an agriculture-focused interface.
Chamsoudine's role
Experience design, integration of AI-assisted flows and interface development.
Current status
Experimental project. No scientific accuracy level or operational deployment is claimed.
Main features
- Crop recommendation
- Agricultural parameter analysis
- Plant-disease recognition
- Agriculture-focused interface
Architecture and technologies
- Python
- Artificial intelligence
- React
Constraints considered
- Avoid presenting recommendations as guaranteed scientific diagnoses.
- Make results understandable without claiming unmeasured accuracy.
Existing screenshot
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