In agriculture, this technology is used to analyze images of crops and identify patterns related to plant health.
The process starts with collecting thousands of images from real fields. These images are then labeled — for example, marking areas affected by disease or pests.
AI models are trained on this data to recognize similar patterns in new images.
When a farmer scans a crop using a smartphone, the AI analyzes the image in real time and provides instant feedback.
This allows for fast, accurate, and scalable crop monitoring — something that was impossible just a few years ago.
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