How can AI help predict crop yields?
AI can analyze historical data, weather patterns, and soil conditions to forecast crop yields accurately.
What kind of data do you need for accurate predictions?
We need data on past yields, weather forecasts, soil health, and crop management practices.
Can AI also suggest improvements for better yields?
Yes, AI can recommend optimal planting times, crop rotation strategies, and resource management techniques.
Are there any successful examples of this in action?
Absolutely! Many farms use AI models to increase their yields by up to 20% by making data-driven decisions.
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