The flower-counting AI could reduce waste, boost yields by improving water and fertiliser allocation, optimise resources, reduce environmental footprint, and maximize harvest quantity and quality.
The AI system tested in Spain predicted flower counts with 90% accuracy compared to manual counts of 50-70%, recognizing unique flower patterns even when overlapping or obscured.
Researchers plan to validate the AI predictions against the real peach harvest, potentially applying the technology to essential crops like apples, pears, and cherries globally.
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